{
  "material_passport": {
    "material_type": "post-review exploratory experiment specification",
    "provenance": "Previously opened external sensor archives and original eligible task manifest",
    "license": "Hydraulic UCI CC BY 4.0; gas legacy research-only restriction retained; local research use only",
    "created_utc": "2026-11-09T14:37:09.140791+00:00",
    "scientific_status": "exploratory; does not replace original confirmation"
  },
  "purpose": "Distinguish small within-fitted-law encoding headroom, finite labeled support, and observed source-target transfer failure without claiming an identifiable population decomposition",
  "device": "cuda:4",
  "dtype": "float64",
  "backbone_executions": 0,
  "trainable_parameters": 0,
  "task_indices": [
    0,
    1,
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  ],
  "seeds": [
    20111,
    20112,
    20113
  ],
  "methods": [
    "query_joint",
    "posterior_clusters",
    "identity"
  ],
  "estimators": [
    "support_mixture",
    "joint_jeffreys",
    "naive_bayes"
  ],
  "interventions": [
    "Original target64 exact seed selection, nested target256 when available, and all original target adaptation records",
    "Source group-disjoint train/held split: SHA256('review_r1_source_held:' + original_group) mod 5 == 0 held; source64/256/all train only",
    "Each fixed policy replayed on original target evaluation and, for source-trained policies, source held records",
    "All-target-adaptation unsmoothed empirical reference law: encoders and exact policy fitted without target evaluation access, evaluated on original independent-group target evaluation; not a population oracle"
  ],
  "source_preprocessing": "Original source-only binary thresholds kept; source-held records contributed unlabeled preprocessing before this post-review split, never labeled model fitting",
  "metrics": [
    "paired realized utility and no-query utility",
    "model-predicted versus held-realized query increment",
    "fitted encoding loss",
    "posterior/joint/observation conditional log losses",
    "same-policy source-held versus shifted-target scores",
    "finite-sample empirical conditional TV on overlapping current support",
    "target mass outside source-held current support"
  ],
  "aggregation": "Original weighting: seeds, then tasks within environment, then environments within dataset, then the two datasets equally. Sample-size contrasts restricted to identical tasks. Costs 0,.01,.05 and budgets 1,2 averaged; no-query average from budget0.",
  "inference": "Descriptive 95% paired bootstrap by target environment within fixed dataset; collapse tasks/seeds first. Few clusters; not population transfer inference; no confirmatory gate rescues.",
  "limitations": [
    "True external law is unknown; histogram reference and TV have finite-sample error",
    "Source-target contrast also includes differences in physical groups and sample composition; no causal attribution percentages",
    "Labels-all support varies by task; 256 contrasts require available support and use matched task subsets",
    "Source group split introduces a new held partition; original target adaptation/evaluation split unchanged",
    "Three seeds are repeated fitting samples, not independent environmental replications",
    "Empirical-reference policies are exploratory benchmarks and their NLL is not reported because zero fitted cells yield uninformative infinite log scores"
  ],
  "input_hashes": {
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    "articles/make_1/release/huggingface-revised/unionmind/decision_sufficiency/core.py": "fa2f7405a8d0dc6ec96ebae1bb2a2b810d03ef1fd2877f5ebef7df1722992cee",
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  "script_sha256": "18a499610df5927f78ae97af5bd4249b3c18beaef98ea39caecc5ad1303b7956",
  "no_recipe_selection": true,
  "original_results_and_gates_unchanged": true
}