{
  "checked_at_utc": "2026-07-19T11:19:22.402493Z",
  "checks": {
    "current_source_identity_and_hashes": {
      "checked_author_source_sha256": {
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      "current_origin_matches_expected": true,
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    },
    "raw_record_integrity_and_aggregate_recomputation": {
      "diffusion_lower_is_better_wins": {
        "posterior_mean_residual_squared_l2": 51,
        "sliced_wasserstein_l1": 54
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      "paired_diffusion_minus_multinomial_95_percent_t_intervals": {
        "posterior_mean_residual_squared_l2": {
          "critical_value": 1.9842169515086827,
          "lower": -0.007123449582480549,
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          "sample_count": 100,
          "sample_standard_deviation": 0.03367169157155121,
          "standard_error": 0.003367169157155121,
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        "sliced_wasserstein_l1": {
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      "recomputed_aggregate": {
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        "multinomial_baseline": {
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      "recomputed_paired_aggregate": {
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      },
      "record_count": 100
    },
    "selected_protocol": "passed",
    "strict_json": "passed"
  },
  "claim_boundary": "This check independently recomputes the recorded aggregates and paired intervals from the 100 raw JSON records while checking the current pinned source identity. It does not rerun the numerical experiment, independently reproduce the paper, or establish an outperformance or significance claim.",
  "input": {
    "path": "study/gms-selected-ids-0-99.json",
    "sha256": "c74851b88b5df723cbfb28edb48be09eb61e7a2dab086088f90d59591b68723b"
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  "validation_status": "passed",
  "validation_type": "post-hoc integrity and aggregate recomputation; no numerical rerun",
  "validator": {
    "path": "study/validate_gms_selected_result.py",
    "platform": {
      "machine": "arm64",
      "release": "25.5.0",
      "system": "Darwin"
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    "python_version": "3.13.14 (main, Jun 23 2026, 15:20:43) [Clang 22.1.3 ]",
    "scipy_version": "1.16.2",
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}