[
  {
    "task": "reasoning",
    "input": "Reasoning Hard 995: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 545: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1300: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 470: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 88: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1021: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1097: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 53: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1724: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1443: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1686: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1608: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 868: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1336: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 845: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 829: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1672: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 897: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1067: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1591: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1119: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1942: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1161: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1063: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1731: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1692: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 106: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 23: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 954: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 858: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 691: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 804: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 440: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1015: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1236: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1941: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 342: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 941: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1035: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 557: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 110: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 983: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 284: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1850: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1718: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1633: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1656: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1416: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 113: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1237: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 733: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 949: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 837: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1638: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1200: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1370: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1748: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1510: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 696: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1180: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 609: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 776: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1526: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 693: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1222: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 640: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1256: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 936: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1524: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1630: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 252: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1189: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1822: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 229: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 372: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1616: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 649: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 154: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1368: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 158: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 41: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1420: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 262: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 443: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1924: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 5: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1010: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 109: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 808: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1457: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1940: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 703: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1492: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 25: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1031: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 121: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 996: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 781: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 891: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1605: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1454: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 103: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 328: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1776: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1144: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 681: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1392: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1635: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 383: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 287: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 601: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1964: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1223: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1523: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 778: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1753: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1277: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 704: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1958: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 403: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 939: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 225: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1298: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 32: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1065: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1852: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 226: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 347: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1580: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1489: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1319: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 916: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 428: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1253: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 392: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 876: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 450: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 312: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 8: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1773: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1936: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 625: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1242: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 120: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1130: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 268: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 636: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 889: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1082: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1792: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1574: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 10: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1151: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 480: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1005: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 276: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 114: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1960: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 57: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1087: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1054: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 655: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 826: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1502: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1195: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1121: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1041: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1296: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 44: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 918: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 291: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 329: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1720: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 998: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1505: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1013: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 523: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1056: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1461: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1895: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 370: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 645: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 204: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1006: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1386: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 548: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1247: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1929: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 684: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 882: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1843: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 538: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1903: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 247: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 955: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 580: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 524: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1239: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 338: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 394: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1548: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 990: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 785: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 89: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 620: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 100: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1044: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1124: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 957: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1434: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1289: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1384: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1450: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 714: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1369: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 62: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1351: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 378: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1811: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 307: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1498: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 283: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 759: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 60: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 847: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 577: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 872: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 274: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 582: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 47: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 682: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1383: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1846: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 271: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 324: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 203: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1197: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1367: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1192: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 563: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1710: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 212: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1278: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 597: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1906: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1093: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1148: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1026: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1352: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1661: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1911: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 412: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1836: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1424: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1624: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1945: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1931: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 638: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 446: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 435: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1122: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 979: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 269: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 723: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 213: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1925: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 588: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 155: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1862: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1513: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1116: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1341: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1759: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 584: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 234: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1129: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1516: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1050: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 72: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 292: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 727: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1546: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1046: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1683: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1723: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 878: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1469: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1477: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 330: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 160: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1817: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 765: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1101: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1164: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1328: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 774: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 573: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1072: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1381: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1979: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 14: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 489: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 884: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1674: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1361: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 653: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 551: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1586: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1339: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1216: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1787: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1660: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 668: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1250: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 290: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 909: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1203: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1301: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 135: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 310: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1342: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1786: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1405: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1515: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 474: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 241: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1525: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1782: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1440: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 732: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1198: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1858: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1408: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 961: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 266: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1302: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1918: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 425: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 415: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 289: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1325: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 61: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1204: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 258: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 740: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1905: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1364: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 793: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1332: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1568: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1396: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 142: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1550: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 658: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1069: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1770: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 689: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 525: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1571: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 476: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1600: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1483: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 434: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 165: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1478: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 200: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 515: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1775: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 162: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 782: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 657: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1350: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 575: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 150: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 660: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1762: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1955: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1028: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1052: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 59: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 945: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 191: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1989: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1136: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 484: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 254: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1175: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1875: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 340: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 844: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1291: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1039: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 643: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1229: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 437: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1540: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 632: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1055: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 171: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 130: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 260: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 473: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1738: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 794: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 24: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 504: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 28: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 477: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 863: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 4: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1587: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1317: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 589: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1899: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1320: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 619: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1938: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 297: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1806: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 63: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 770: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 487: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 927: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 514: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1417: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 791: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 861: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 529: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 6: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1271: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1709: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 202: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1280: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1017: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1077: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1946: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 915: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1018: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 507: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1327: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1387: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1345: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 362: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1839: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1418: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1521: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 246: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1187: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 758: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 753: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 387: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1147: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1211: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 494: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 491: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1495: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1095: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 968: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1726: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 384: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1681: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1647: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1394: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 418: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 602: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 742: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1698: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 943: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1805: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1378: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1313: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 938: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1835: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1532: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 870: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 510: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 814: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 762: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1459: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1258: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1654: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 646: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1375: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 495: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1789: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 242: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 367: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 463: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1853: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 931: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1295: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1519: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 890: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 856: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1901: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1897: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1389: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 942: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1059: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1935: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 386: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 399: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1511: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 617: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 866: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1091: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 195: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 985: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1430: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1745: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1178: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1267: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 354: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1126: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1398: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1930: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 606: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1476: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 145: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 820: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1453: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1701: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 831: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1284: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1943: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 736: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 692: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1196: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 908: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1016: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 353: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 21: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1707: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 929: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1023: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 894: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1849: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 472: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 735: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1508: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1868: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 850: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 827: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 395: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1393: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1900: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 669: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 542: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 167: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 263: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 809: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1428: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1541: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1559: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1436: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 323: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1377: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1061: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 828: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1755: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1019: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1795: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 813: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 971: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1837: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 192: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 34: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1009: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1983: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 922: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 511: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1847: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 185: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1423: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 482: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 96: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1688: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1347: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 610: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 526: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1641: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 356: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 462: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1740: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1985: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 236: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1322: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 321: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1886: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1636: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1485: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1311: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1774: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1169: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1896: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1455: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 79: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1978: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 662: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 402: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 816: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1539: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 992: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1395: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1725: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1749: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1714: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1425: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 702: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1051: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 728: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1551: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1760: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 935: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1972: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1118: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1484: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 578: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 215: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 3: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1937: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1212: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1451: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1982: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1891: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 600: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1869: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1427: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1145: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1728: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1567: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1531: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 144: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1288: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 22: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 760: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1254: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1437: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1257: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 751: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 513: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1154: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1207: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1232: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1337: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 390: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1233: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1439: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 766: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 441: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 561: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1354: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1555: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1790: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 824: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 999: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1462: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1810: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 449: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1881: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 535: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 19: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 314: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 438: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 741: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1365: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1081: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1084: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 239: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 842: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 579: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1438: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1598: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 177: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 139: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 11: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1627: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 233: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1199: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 874: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 614: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 812: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1414: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 862: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 546: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1644: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1977: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 317: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1060: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 433: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1167: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1706: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 544: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 461: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 280: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1662: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 690: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 460: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1137: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1503: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1959: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 199: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 565: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 629: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1668: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 206: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1294: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 422: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 147: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 277: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 300: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 848: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1841: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1008: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 70: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1590: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 817: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 595: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1800: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1466: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1273: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1553: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 554: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1146: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1045: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 299: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 193: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 994: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1980: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1716: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1572: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1798: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1068: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1535: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 102: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 591: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 189: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1446: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 36: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 230: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1231: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 839: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 351: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 752: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1595: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1429: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1449: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 420: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1634: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1252: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1613: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1747: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1209: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 986: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1919: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 205: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 721: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 695: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 596: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 478: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1655: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1971: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 407: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 343: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1248: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1530: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 709: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1604: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 163: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1329: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1444: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 677: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1845: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1174: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 431: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 969: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 896: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1913: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 624: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1335: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1214: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1576: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 414: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1479: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 924: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 486: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1815: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1966: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 124: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1816: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 869: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1109: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1162: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1421: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1102: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1170: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1043: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 637: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 33: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1362: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 419: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 885: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 20: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1802: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1739: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1812: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 772: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1020: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 319: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1014: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 45: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 406: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 359: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 426: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1922: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1907: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 74: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1221: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1092: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1276: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 953: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 73: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 285: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1552: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 940: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 117: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 685: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1991: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1099: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1999: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1703: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 331: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1620: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1179: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1904: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 349: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1664: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1074: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 84: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 982: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1783: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1380: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 43: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 763: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 327: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 671: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1677: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 773: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1794: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 83: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 973: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 218: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 479: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1956: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 190: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1565: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1123: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 201: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 958: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1481: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 706: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1562: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1737: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1879: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1165: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1813: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 81: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1772: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1111: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1115: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 76: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 492: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 568: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1112: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 188: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 622: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 210: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 196: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1132: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 294: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1981: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 951: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 587: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 608: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 912: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 798: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 623: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 634: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1133: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 615: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1729: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 719: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1626: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1544: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1181: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1499: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 166: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 857: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 181: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1804: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1583: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 904: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1251: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 255: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1049: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 976: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 718: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1690: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 410: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1695: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 815: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1582: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1022: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1691: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 836: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 231: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 9: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1047: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1286: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1588: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1840: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1570: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 631: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 175: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1159: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 389: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1032: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1646: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1285: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1003: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 797: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 788: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1814: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1704: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1933: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1480: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 94: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1011: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1303: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 744: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 350: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1340: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 984: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 769: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 464: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1088: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 574: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1721: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1463: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 616: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1105: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1094: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 219: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1114: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 749: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1226: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1406: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 664: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 783: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 12: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 388: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 767: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 598: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1962: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1889: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1622: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 360: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1076: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1349: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 224: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1534: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1512: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 974: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 913: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1400: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 947: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 855: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 56: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1376: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 975: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1788: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 457: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1183: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 64: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 840: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 376: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1675: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1215: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 273: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1315: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 687: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 966: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 339: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1871: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 380: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 731: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 92: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 172: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1585: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 799: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 475: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1928: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 835: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1909: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1243: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 734: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 825: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 468: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 849: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 801: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 970: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1873: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1603: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 502: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1735: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1522: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1472: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1650: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1594: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1651: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1808: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1712: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 496: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1240: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1185: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 315: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 873: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1778: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1149: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1106: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1447: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 594: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 381: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1228: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1556: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 717: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1155: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1882: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1219: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1407: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 556: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 676: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1757: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1324: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1514: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 452: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 667: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1741: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1892: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1976: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1297: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1736: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1272: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1797: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 257: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1684: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1766: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 267: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1702: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 977: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 355: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1128: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1230: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1270: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1191: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1596: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 972: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1607: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 198: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 436: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 537: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1694: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 811: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 104: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 250: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 16: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1666: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 533: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 787: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 346: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1471: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 67: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1399: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1334: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1318: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1967: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 448: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1326: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1456: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 790: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1761: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 688: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 368: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 654: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 71: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 959: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 184: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 427: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1732: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1599: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1190: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 361: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 52: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1390: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1346: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 930: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 738: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 208: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1717: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1743: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1833: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 296: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1828: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 948: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1593: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1876: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1213: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 698: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 286: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1176: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1134: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 647: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1685: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 107: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 416: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 164: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 129: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1785: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1819: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 58: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1700: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 375: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1538: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 332: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 465: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 630: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1659: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1855: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1435: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1611: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 393: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1921: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 559: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1547: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1986: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 521: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1592: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1490: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 227: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1974: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1623: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 423: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 604: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1953: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1265: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 618: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1579: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1494: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 174: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 373: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1711: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 988: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1988: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 989: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 642: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1957: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1415: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 852: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1458: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1883: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 650: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1012: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 725: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 429: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1460: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1160: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1509: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1064: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 807: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1851: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 663: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1163: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1917: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1844: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1244: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 928: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 771: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 739: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 157: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1830: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 729: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1445: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 179: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 925: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 854: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 652: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 779: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 95: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1885: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 38: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 701: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 481: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 628: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1520: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 400: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1314: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 459: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1625: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1827: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 713: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 421: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 550: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1558: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 980: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1218: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 567: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1536: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1673: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 379: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1949: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 522: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 920: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 789: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 221: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 238: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1618: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 761: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1182: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1432: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 119: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 173: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1769: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1372: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1058: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 754: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 413: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 363: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1696: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 911: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 800: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1529: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1908: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1890: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1358: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1426: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1036: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1402: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 293: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 903: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1080: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1970: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 411: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1465: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 398: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1518: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 700: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1452: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1877: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1104: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1141: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 77: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1140: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1578: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1821: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 888: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 91: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 148: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 875: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 454: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1261: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1697: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1323: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1168: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1033: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1916: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1468: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 859: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 17: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1269: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1501: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 244: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 99: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1926: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 251: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 15: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 993: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 111: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1577: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 178: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1042: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 270: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 881: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1108: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 13: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1617: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1496: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 458: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 485: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 823: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1220: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 369: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 216: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1292: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1193: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 879: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 806: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1172: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1431: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 906: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 352: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 134: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 344: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 253: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 819: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 834: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 152: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1075: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1348: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1756: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1330: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1474: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 830: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 18: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 197: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1062: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 424: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 243: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 466: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1561: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1719: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 821: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 707: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 750: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1996: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 180: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 302: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 880: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1371: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 348: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1208: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1902: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1653: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 639: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1665: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1746: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1640: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 217: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1602: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1645: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1639: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1912: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 249: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 506: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 149: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1366: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 256: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 593: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1867: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1663: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 82: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 358: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 822: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1914: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 997: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 183: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 0: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1727: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1831: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 318: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1131: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 586: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 784: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1893: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1433: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 445: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 397: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1767: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1537: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 282: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1309: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1948: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1186: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 530: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 512: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 644: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1708: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1965: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1584: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1307: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 50: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1249: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1963: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 956: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 132: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 488: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 932: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1887: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 964: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 838: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 209: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1079: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 469: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 345: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 68: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 447: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1422: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 672: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 745: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 843: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 743: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1734: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1754: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 923: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 585: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1679: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 223: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 471: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 391: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 151: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 98: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1098: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 905: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1834: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 860: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1139: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1205: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1283: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1158: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1316: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 337: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 590: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1615: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 775: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 532: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1263: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1143: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 899: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1563: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1078: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 409: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1878: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 141: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 80: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1771: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1266: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 708: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1838: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 439: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 517: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1527: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 867: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1898: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1275: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1801: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1995: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1333: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 917: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1282: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 137: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 516: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 555: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1184: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1224: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1829: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1950: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1564: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1245: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 519: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 66: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 115: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 86: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1678: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 747: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1293: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 755: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1083: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1671: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 564: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1517: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1331: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 37: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1321: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 768: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1201: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1796: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 325: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 7: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1888: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1150: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 963: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1581: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 308: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1113: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1947: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1360: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 40: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1090: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1629: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 65: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1648: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 335: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 633: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1053: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1854: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 756: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 679: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1680: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1308: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 501: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1246: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1475: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 659: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 576: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1969: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 944: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 764: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 326: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 877: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 605: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1872: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1357: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 987: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1742: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1597: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 919: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1631: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 182: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1171: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1264: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 592: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 792: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 272: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 93: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1973: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1268: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1856: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1038: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 673: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1777: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 786: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1153: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1135: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 442: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 87: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 724: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1863: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1066: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 900: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 126: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 336: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1412: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1409: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 153: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1404: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1809: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1803: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 281: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 726: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1464: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1306: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 737: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 90: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 581: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 320: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 341: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1842: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 666: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 444: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 648: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 298: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1750: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 914: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 683: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 543: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1763: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1915: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 278: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 500: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1260: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 962: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1857: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1259: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1610: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 374: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 627: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 716: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1894: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1560: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 895: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 534: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1998: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 176: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 503: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1820: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1234: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 133: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 456: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 722: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1832: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1027: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 417: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 680: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  },
  {
    "task": "reasoning",
    "input": "Reasoning Hard 1997: Agentic task \u2014 Researcher needs to optimize IKNN-Rl1-A1 tri-tier for Ryzen5 5650U AVX2 target 28-42 TPS. Current: SatU1 16 Giga/s, NoeSA pack 13x24, Ntarra 2x9, RHT 10->5.07. What steps to improve? Chain-of-thought with tool use.",
    "output": "Reasoning: Steps for agentic optimization: 1) Profile: SatU1 XNOR+popcount AVX2 _mm256_xor_si256 + _mm256_sad_epu8 is bottleneck? Check 16 Giga/s vs target 28-42 TPS. 2) Search: Papers on AVX2 popcount optimization, LUT576 for NoeSA, phase rotator shift+sign. 3) Plan: Implement ntarra_avx2 block 8x 40 PASS, rht_avx2 outlier flattening, PG-KVC 94% saving reduces memory bandwidth. 4) Execute: Write kernels/ntarra_avx2.cpp, kernels/rht_avx2.cpp with AVX2 intrinsics. 5) Validate: Test outlier 10->5.07 norm 11.3007 preserved, AVX2 matches scalar diff 0 PASS. 6) Benchmark: 1000 tokens 176ms 5681 TPS for 150M. This is researcher agent workflow.",
    "type": "agentic",
    "focus": "reasoning",
    "difficulty": "hard"
  }
]