{
  "paper_id": "ATT-0097",
  "paper_title": "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting",
  "validation_status": "PASS_WITH_INVALID_THEORY_PROOF_AND_REPORTING_LIMITS",
  "mechanical_status": "PASS",
  "original_mechanical_status": "PASS",
  "frozen_reviewers": 5,
  "effective_reviewers": 5,
  "legacy_votes": 0,
  "minimum_body_hanzi": 1383,
  "body_hanzi_by_reviewer": {
    "A": 1796,
    "B": 1383,
    "C": 1683,
    "D": 1749,
    "E": 1554
  },
  "numeric_votes": 100,
  "all_dimension_slots": 120,
  "coverage": 0.8333333333333334,
  "unknown_dimensions": [
    "F1",
    "F2",
    "F3",
    "F4"
  ],
  "tentative_numeric_vote_share": 0.21,
  "observed_equal_weight_mean": 63.05,
  "mean_is_provisional_sorting_aid": true,
  "original_mean": 63.05,
  "statistics_method": "Per dimension mean and population variance (ddof=0) use numeric reviewer votes only. Unknown/NA are not imputed. An accepted erratum replaces its own same reviewer vote; it is not an additional vote.",
  "effective_statistics_path": "/workspace/shared/candidate_review_batch001/validation/ATT-0097/statistics_effective.json",
  "frozen_original_statistics_path": "/workspace/shared/candidate_review_batch001/validation/ATT-0097/statistics_frozen_original.json",
  "source_audit_path": "/workspace/shared/candidate_review_batch001/validation/ATT-0097/source_audit.json",
  "accepted_errata": [
    {
      "reviewer": "D",
      "path": "/workspace/shared/candidate_review_batch001/reviewer_d/ATT-0097_CLARIFICATION_01.json",
      "sha256": "4ecad841d1a5b879dabcf94600ae42da5c66c45ab420674138add2ab2a1bfb48",
      "companion_sha256": {
        "ATT-0097_CLARIFICATION_01.md": "658a3fc839a691fb2842b65af58d1bb9a8e30248986ec4ddb082f95fc2283870"
      },
      "same_vote_not_additional_reviewer": true,
      "scores_changed": false
    }
  ],
  "read_before_history_verification": "Explicitly attested by reviewers; full historical review unavailable; not independently timed.",
  "risk_banner": "Do not use the current appendix proof as a valid error guarantee. Empirical results remain separately usable with data/metric limits and unresolved gating notation."
}
