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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/bank_topup/sample_banks/mimo_medium_generated/gpqa/post_topup_audit.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/bank_topup/sample_banks/mimo_medium_generated/gpqa/topup_sample_bank.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/bank_topup/sample_banks/mimo_medium_generated/hle_text_mc/post_topup_audit.csv

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+experiment_id,benchmark,question_id,target_generator,target_parse_ok_before,target_attempts_before,mimo_parse_ok_before,mimo_attempts_before,topup_rows,topup_parse_ok,target_parse_ok_after,target_attempts_after,mimo_parse_ok_after,mimo_attempts_after,eligible_after,max_total_attempts

data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/bank_topup/sample_banks/mimo_medium_generated/hle_text_mc/topup_sample_bank.csv

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+question_id,split,category,src,sample_index,meme_id,answer_letter,answer_format,answer_checker_name,choice_letter,choice_text,answer_text,rationale,label,generation_parse_ok,generation_error

data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/bank_topup/sample_banks/mimo_medium_generated/medxpertqa/post_topup_audit.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/bank_topup/sample_banks/mimo_medium_generated/musr/post_topup_audit.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/bank_topup/sample_banks/mimo_medium_generated/musr/topup_sample_bank.csv

@@ -0,0 +1 @@
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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k12/deepseek_to_deepseek/summary.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k12/deepseek_to_deepseek/task_log.jsonl

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k12/deepseek_to_mimo_medium/summary.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k12/mimo_medium_to_deepseek/summary.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k12/mimo_medium_to_mimo_medium/summary.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k14/deepseek_to_deepseek/summary.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k14/deepseek_to_deepseek/task_log.jsonl

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k14/deepseek_to_mimo_medium/summary.csv

@@ -0,0 +1,2 @@
+experiment_id,population,cell_id,generator,selector,selector_model_id,n_tasks,n_parse_ok,n_failed,parse_ok_rate,top1_correct_rate,top2_correct_rate
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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k14/mimo_medium_to_deepseek/summary.csv

@@ -0,0 +1,2 @@
+experiment_id,population,cell_id,generator,selector,selector_model_id,n_tasks,n_parse_ok,n_failed,parse_ok_rate,top1_correct_rate,top2_correct_rate
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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k14/mimo_medium_to_mimo_medium/summary.csv

@@ -0,0 +1,2 @@
+experiment_id,population,cell_id,generator,selector,selector_model_id,n_tasks,n_parse_ok,n_failed,parse_ok_rate,top1_correct_rate,top2_correct_rate
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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k2/deepseek_to_deepseek/summary.csv

@@ -0,0 +1,2 @@
+experiment_id,population,cell_id,generator,selector,selector_model_id,n_tasks,n_parse_ok,n_failed,parse_ok_rate,top1_correct_rate,top2_correct_rate
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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_pool_size/ranking_runs/strict_common_natural_k2/deepseek_to_deepseek/task_log.jsonl

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_rank16/ranking_runs/strict_common/deepseek_to_deepseek/summary.csv

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data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_rank16/ranking_runs/strict_common/deepseek_to_deepseek/task_log.jsonl

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+{"api_completion_tokens": "", "api_prompt_tokens": "", "api_total_tokens": "", "benchmark": "gpqa", "candidate_order": "gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m0|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m1|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m2|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m3|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m4|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m5|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m6|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m7|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m8|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m9|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m10|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m11|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m12|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m13|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m14|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m15", "cell_id": "deepseek_to_deepseek", "experiment_id": "cost_efficiency_16sample_2x2_mimo_medium_formal", "generator": "deepseek", "judge_error": "", "parse_ok": "1", "pool_id": "gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701", "population": "strict_common", "question_id": "gpqa_rec1BjNQici8oD53a", "ranking": "gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m6|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m9|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m13|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m2|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m8|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m12|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m0|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m5|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m10|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m14|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m11|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m3|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m4|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m7|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m15|gpqa_deepseek_gpqa_rec1BjNQici8oD53a_natural_16_s20260701_m1", "selector": "deepseek", "selector_completion_tokens": "65", "selector_model_id": "deepseek_v4_flash_judge", "selector_prompt_tokens": "2574", "token_accounting_source": "reconstructed_char4", "top1_correct": "1", "top2_correct": "1"}

data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_rank16/ranking_runs/strict_common/deepseek_to_mimo_medium/summary.csv

@@ -0,0 +1,2 @@
+experiment_id,population,cell_id,generator,selector,selector_model_id,n_tasks,n_parse_ok,n_failed,parse_ok_rate,top1_correct_rate,top2_correct_rate
+cost_efficiency_16sample_2x2_mimo_medium_formal,strict_common,deepseek_to_mimo_medium,deepseek,mimo_medium,mimo_v25_judge_thinking_medium,16247,16247,0,1.000000,0.693051,0.745061

data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_rank16/ranking_runs/strict_common/mimo_medium_to_deepseek/summary.csv

@@ -0,0 +1,2 @@
+experiment_id,population,cell_id,generator,selector,selector_model_id,n_tasks,n_parse_ok,n_failed,parse_ok_rate,top1_correct_rate,top2_correct_rate
+cost_efficiency_16sample_2x2_mimo_medium_formal,strict_common,mimo_medium_to_deepseek,mimo_medium,deepseek,deepseek_v4_flash_judge,16247,16247,0,1.000000,0.715209,0.747892

data/external/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_mimo_medium/natural_rank16/ranking_runs/strict_common/mimo_medium_to_mimo_medium/summary.csv

@@ -0,0 +1,2 @@
+experiment_id,population,cell_id,generator,selector,selector_model_id,n_tasks,n_parse_ok,n_failed,parse_ok_rate,top1_correct_rate,top2_correct_rate
+cost_efficiency_16sample_2x2_mimo_medium_formal,strict_common,mimo_medium_to_mimo_medium,mimo_medium,mimo_medium,mimo_v25_judge_thinking_medium,16247,16247,0,1.000000,0.696313,0.737244

data/external/results/formal/five_benchmark_cost_efficiency/summaries/mimo_k16_topup_v1/pool_size/README.md

@@ -0,0 +1,27 @@
+# Pool-Size 2x2 Cost-Efficiency Formal
+
+This directory is formal manuscript evidence for the configured run.
+
+Primary purpose: test sample-budget scaling and cost-efficiency for judge-gated selection under matched natural pools.
+
+Natural pool-size scope:
+
+- Base population: strict common intersection with at least 16 parse-ok candidates for both DeepSeek and Mimo.
+- Pool sizes: 2, 4, 6, 8, 10, 12, 14, 16
+- Live rerank pool sizes: 2, 4, 6, 10, 12, 14
+- Reused rank-16 pool sizes: 8, 16
+- Reused rank-16 source: /Users/jay/research/evole-meme/reasoning-meme-mechanism/results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_rank16
+
+Balanced stress-test scope:
+
+- Pool sizes: 
+- Correct ratios: 
+- Max pools per benchmark/generator/cell: 500
+
+Live selector-ranking calls export benchmark questions, candidate answers, and rationales to the configured model endpoint. Set `ALLOW_EXTERNAL_MODEL_TRANSFER=1` only after explicit author approval.
+
+Live request timeout is disabled through model configs with `timeout_seconds: 0`; this workflow does not add per-request timeout arguments.
+
+Coverage rows: 10
+Strict-common natural-16 rows: 519712
+Excluded rows: 81

data/external/results/formal/five_benchmark_cost_efficiency/summaries/mimo_k16_topup_v1/pool_size/README.metadata.json

@@ -0,0 +1,36 @@
+{
+  "artifact_kind": "cost_efficiency_pool_size_run",
+  "command_mode": "cost_efficiency_pool_size",
+  "config_hash": "bdcca38c2804",
+  "config_path": "configs/experiments/formal/cost_efficiency_pool_size_2x2_k16_topup_mimo.yaml",
+  "evidence_status": "registered",
+  "generated_at_utc": "2026-07-11T19:54:27.865654+00:00",
+  "git_commit": "cb0cf3a1edce4fa95964c58e2d0540c7462c2275",
+  "input_paths": [
+    "results/formal/five_benchmark_selector_boundary",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_inputs/mimo_k16_topup_bank/sample_banks/mimo_generated/mmlu_pro/effective_sample_bank.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_inputs/mimo_k16_topup_bank/sample_banks/mimo_generated/gpqa/effective_sample_bank.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_inputs/mimo_k16_topup_bank/sample_banks/mimo_generated/medxpertqa/effective_sample_bank.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_inputs/mimo_k16_topup_bank/sample_banks/mimo_generated/musr/effective_sample_bank.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_inputs/mimo_k16_topup_bank/sample_banks/mimo_generated/hle_text_mc/effective_sample_bank.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_rank16"
+  ],
+  "output_paths": [
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/price_model.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/frozen_input_manifest.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/coverage_by_generator.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/common_intersection_coverage.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/natural_16_pool_summary.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/excluded_questions.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/natural_pool_size_pool_summary.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/natural_pool_size_strategy_accuracy_cost.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/natural_pool_size_benchmark_accuracy_cost.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/natural_pool_size_stratum_accuracy_cost.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/natural_pool_size_incremental_cost_effectiveness.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/natural_pool_size_cost_frontier_source_data.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/balanced_pool_size_pool_summary.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/balanced_pool_size_excluded_questions.csv",
+    "results/formal/five_benchmark_cost_efficiency/archive/source_runs/global_replay_cost_efficiency_k16_topup_mimo/natural_pool_size/README.md"
+  ],
+  "run_class": "formal"
+}

data/external/results/formal/five_benchmark_cost_efficiency/summaries/mimo_k16_topup_v1/pool_size/balanced_pool_size_excluded_questions.csv

@@ -0,0 +1 @@
+experiment_id,population,generator,benchmark,question_id,parse_ok_count,reason

data/external/results/formal/five_benchmark_cost_efficiency/summaries/mimo_k16_topup_v1/pool_size/balanced_pool_size_pool_summary.csv

@@ -0,0 +1 @@
+experiment_id,population,generator,benchmark,question_id,pool_id,pool_size,correct_count,pool_p_correct

data/external/results/formal/five_benchmark_cost_efficiency/summaries/mimo_k16_topup_v1/pool_size/common_intersection_coverage.csv

@@ -0,0 +1,6 @@
+experiment_id,benchmark,common_questions_with_16_parse_ok,generator_questions_with_16_parse_ok_json,deepseek_questions_with_16_parse_ok,mimo_questions_with_16_parse_ok,mimo_medium_questions_with_16_parse_ok
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,mmlu_pro,12023,"{""deepseek"": 12028, ""mimo"": 12023}",12028,12023,0
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,gpqa,545,"{""deepseek"": 546, ""mimo"": 545}",546,545,0
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,medxpertqa,2450,"{""deepseek"": 2450, ""mimo"": 2450}",2450,2450,0
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,musr,756,"{""deepseek"": 756, ""mimo"": 756}",756,756,0
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,hle_text_mc,467,"{""deepseek"": 467, ""mimo"": 488}",467,488,0

data/external/results/formal/five_benchmark_cost_efficiency/summaries/mimo_k16_topup_v1/pool_size/coverage_by_generator.csv

@@ -0,0 +1,11 @@
+experiment_id,generator,benchmark,sample_bank_questions,parse_ok_questions,questions_with_16_parse_ok,underfilled_questions,zero_parse_ok_questions,min_parse_ok,median_parse_ok,max_parse_ok
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,deepseek,mmlu_pro,12032,12032,12028,4,0,15,16.0,128
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,deepseek,gpqa,546,546,546,0,0,16,16.0,127
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,deepseek,medxpertqa,2450,2450,2450,0,0,16,64.0,128
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,deepseek,musr,756,756,756,0,0,16,16.0,128
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,deepseek,hle_text_mc,498,497,467,30,1,3,64,128
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,mimo,mmlu_pro,12032,12032,12023,9,0,5,16.0,64
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,mimo,gpqa,546,546,545,1,0,13,16.0,16
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,mimo,medxpertqa,2450,2450,2450,0,0,16,16.0,16
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,mimo,musr,756,756,756,0,0,16,16.0,16
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,mimo,hle_text_mc,498,498,488,10,0,6,16.0,128

data/external/results/formal/five_benchmark_cost_efficiency/summaries/mimo_k16_topup_v1/pool_size/excluded_questions.csv

@@ -0,0 +1,82 @@
+experiment_id,population,generator,benchmark,question_id,parse_ok_count,reason
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,10152,15,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,10287,16,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,10471,64,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,10608,15,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,7582,15,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,8099,64,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,8841,16,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,8938,64,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,mmlu_pro,9037,15,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,gpqa,gpqa_rec1BjNQici8oD53a,16,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,hle_text_mc,hle_66e906f860abc895aedcf467,8,<16_parse_ok_or_not_common
+cost_efficiency_pool_size_2x2_k16_topup_mimo_formal,strict_common,deepseek,hle_text_mc,hle_66e91bc08dd8f00467e3d5d8,15,<16_parse_ok_or_not_common
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