{
  "experiment": "Selective restriction learning",
  "restriction_study": {
    "private_model_repo": "itsalissonsilva/Restriction-Learning-Experiment",
    "revision": "dbadf706f7e19ad63b581832d8ff04ee02e18b01",
    "job": "https://huggingface.co/jobs/itsalissonsilva/6ae55a93c78863f9c62eef4d",
    "seed": 20261031,
    "base_revision": "dcc83ea841ab6100d6b47a070329e1ba4cf78752",
    "rows": 96,
    "forensic_cases": 14,
    "source_sha256": "32fcb2125860dd6de769873ccf98de9e0e32c67bb5d56c8b3ceba897c8f29982",
    "limitations": "One training seed. Template-generated English workspaces. Automatic action/content proxies; no blinded human usefulness review.",
    "restoration_raw_matches": 13,
    "restoration_cases": 14,
    "matched_batch_restoration": 14,
    "tensor_restoration_exact": true,
    "source_report_sha256": "b844bcfd6d35d0309f5ec870257a620440b8f544628da97134abf9e68232d1a8",
    "public_report_transform": "Attach measured matched-batch parity check; original scores unchanged"
  },
  "analysis_revision": "3a3cb6bef28c71ffc822f0a68645e2adc4b6aed2",
  "analysis_job": "https://huggingface.co/jobs/itsalissonsilva/6ae568030e0338d1bb7d0b86",
  "analysis_scope": "84 previously opened held-out policy cases; 12 workspace groups; descriptive follow-up, one seed; no model tuning",
  "generation_cases": 14,
  "likelihood_cases": 84,
  "restoration_max_nll_difference": 0.0,
  "files": {
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    "artifacts/restriction_parity.json": "6076b4d1e711c101ce170ab8f98f9ba34f60cb4bbcec46e061299ffb1bbac614",
    "artifacts/restriction_analysis.json": "6ad1d38f8d2b70443cd94392014af638c97c2df0fbbe32fbcf0a0f73a8b8523e",
    "experiment_code/train_restriction_pilot.py": "32fcb2125860dd6de769873ccf98de9e0e32c67bb5d56c8b3ceba897c8f29982",
    "experiment_code/train_restriction_analysis_pilot.py": "e1d26ed435be0ed54a5a080d7c219f313c2c14588992299aecd28a18d2363404",
    "experiment_code/train_restriction_parity_pilot.py": "ec8172d7b420a1169f50834d2853a9514c096d72cccaae1e940046c535aed1a2"
  }
}