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{
  "benchmark": "deepresearch9k-frontier-v1",
  "blocked_docids_sha256": "a4198790802f951af4c183db299cb526dd1d6592529f1f1890833d0b7108343d",
  "by_calibration_tier": {
    "challenge": 128,
    "frontier": 128
  },
  "by_calibration_tier_and_selection_bucket": {
    "challenge/hard_open": 28,
    "challenge/reformulate": 100,
    "frontier/hard_open": 28,
    "frontier/reformulate": 100
  },
  "by_cell": {
    "hard_open/D1/teacher_false": 12,
    "hard_open/D1/teacher_true": 25,
    "hard_open/D2/teacher_true": 1,
    "hard_open/D3/teacher_false": 12,
    "hard_open/D3/teacher_true": 6,
    "reformulate/D1/teacher_false": 8,
    "reformulate/D1/teacher_true": 54,
    "reformulate/D2/teacher_false": 1,
    "reformulate/D2/teacher_true": 5,
    "reformulate/D3/teacher_false": 58,
    "reformulate/D3/teacher_true": 74
  },
  "by_selection_bucket": {
    "hard_open": 56,
    "reformulate": 200
  },
  "challenge_eligible_by_selection_bucket": {
    "hard_open": 37,
    "reformulate": 224
  },
  "eligible_by_selection_bucket": {
    "hard_open": 29,
    "reformulate": 102
  },
  "max_fast_successes": 0,
  "min_mean_turns": 3.0,
  "pilot_audit": "selection/pilot_audit.jsonl",
  "pilot_audit_sha256": "6dba18a6eee7fd5b2e068c28ff5acbd3d44581ffee48d14047944458f6101502",
  "pilot_data": "selection/pilot_data.jsonl",
  "pilot_data_sha256": "0359ca036dcb24a4d8397bae1755b000bc1af342e58fe84f93efe158a838dfbb",
  "pilot_replicas": 3,
  "pilot_results": "selection/pilot_results.jsonl",
  "pilot_results_sha256": "eaa26af31d5673e93032a84031286b2dd9643c057914dd21af574abcb387c031",
  "questions": 256,
  "questions_sha256": "6c1bbdfad639b84224976d4a49d28e1eb060cb0a38f3f7284b9050b6963e7a85",
  "rejected": {
    "blank_answer": 111,
    "non_finish": 3,
    "one_step_success": 23,
    "too_easy": 101,
    "too_few_turns": 9,
    "too_hard": 294
  },
  "seed": 20260810,
  "selection_note": "Internal model-calibrated frontier set. Selection used repeated pre-RL base outputs; final scores must use fresh rollouts and are not a clean held-out benchmark estimate.",
  "source_candidates": "selection/candidates.jsonl",
  "source_candidates_sha256": "a893a0b7e79174e423a2a40deb1d3857df01313041e377e91c7f4920a73790c5",
  "success_range": [
    1,
    2
  ]
}