{
  "session": "v14-v15-long-context-adjudication-and-teacher-rendering",
  "model": "Qwen3-0.6B Alea",
  "base_checkpoint": "v12_rl_cal",
  "public_tier_metric_note": "These are reproducible local accuracies on the frozen public JevBench JSONL tiers, computed over all rows (choice/score argmax; noul threshold 0.5). This is not the sealed-set v1.4 composite. These direct re-evaluations do not match some older session-reported JevBench values, so treat historical and current scores as non-comparable until the previous runner/predictions are recovered.",
  "public_tier_results_percent": {
    "v12_rl_cal": {"easy": 66.7, "hard": 32.4, "original": 38.9},
    "v14": {"easy": 62.5, "hard": 30.6, "original": 40.3},
    "v15_teacher_rendered": {"easy_4096": 66.7, "hard_4096": 32.4, "original_4096": 40.3, "easy_6144": 66.7, "hard_6144": 32.4, "original_6144": 40.3}
  },
  "v14": {
    "train_rows": 62179,
    "train_max_len": 6144,
    "train_max_state": 5120,
    "train_steps": 2017,
    "validation_overlap_found": 422,
    "validation_overlap_families": {"adj_route": 369, "adj_inject": 29, "adj_judge": 24},
    "clean_adjud_dev": {"n": 3378, "v12_rl_cal_accuracy": 0.370337, "v12_rl_cal_ece": 0.200263, "v14_accuracy": 0.812315, "v14_ece": 0.047555},
    "clean_mixed_dev": {"n": 10378, "v12_rl_cal_accuracy": 0.66323, "v12_rl_cal_ece": 0.047261, "v14_accuracy": 0.804105, "v14_ece": 0.033296}
  },
  "teacher_rendering": {
    "teacher": "Qwen3-14B",
    "prompts": 600,
    "fact_validated_rows": 478,
    "rendered_state_file": "data/adjud_rendered.jsonl"
  },
  "v15": {
    "train_rows": 50324,
    "dev_rows": 10417,
    "train_dev_exact_overlap": 0,
    "exact_public_jevbench_state_overlap": 0,
    "train_steps": 1628,
    "train_max_len": 6144,
    "train_max_state": 5120,
    "clean_dev_accuracy": 0.784967,
    "clean_dev_ece": 0.026563,
    "checkpoint_path": "runs/v15/final.pt",
    "checkpoint_recovery": "Final save ran out of root-disk space; verified complete step1628.pt was renamed to final.pt. It loads successfully."
  },
  "conclusions": [
    "Long-context adjudication training sharply improves leak-free procedural adjudication accuracy, but the gains transfer weakly to the authored JevBench hard tier.",
    "The teacher-rendered mixture restores the base checkpoint's easy/hard public accuracy but does not improve the hard frontier; increasing eval context from 4096 to 6144 had no measurable public-tier effect.",
    "The requested 75% easy / 60% hard target was not achieved."
  ],
  "artifacts": [
    "runs/v14/final.pt",
    "runs/v14/leakfree_eval.json",
    "runs/v14/jevbench_public_summary.json",
    "runs/v14/jevbench_soup_public.json",
    "runs/v15/final.pt",
    "runs/v15/train.log",
    "runs/v15/eval_dev.log",
    "runs/v15/jevbench_public_4k.json",
    "runs/v15/jevbench_public_6k.json",
    "scripts/build_v15_mix.py",
    "scripts/eval_jevbench_public.py",
    "scripts/chain_v15.sh"
  ]
}