{
  "content_status": "PASS_WITH_METRIC_PROTOCOL_AND_REPORTING_LIMITS_AND_REVIEW_ERRATA",
  "risk_banner": "Strong offline ranking evidence does not establish usable point alarms, causal online latency, or low operating cost. E2 has only one tentative numeric vote; zero population variance at n=1 is not reviewer agreement.",
  "independent_original_pdf_visual_pages": [
    9,
    19,
    23,
    24,
    25
  ],
  "independent_original_pdf_text_pages": [
    1,
    6,
    7,
    8,
    9,
    10,
    16,
    17,
    18,
    19,
    20,
    21,
    23,
    24,
    25,
    26,
    27,
    28
  ],
  "confirmed_paper_findings": [
    {
      "id": "ranking_not_alarm_quality",
      "locations": [
        "PDF p9 Table2",
        "PDF p23 Table6",
        "PDF p24 Table7",
        "PDF p25 Table8",
        "PDF p27 Table10"
      ],
      "finding": "SWAT AUCROC=.345 and SMAP=.504. NYC AffiliatedF1=.994 contrasts with recall.010/F1.020; CICIDS point precision.003/F1.006 and AUCPR.002. Credit AUCPR.101 trails HBOS.173. Metrics answer different questions; these are scope limitations, not logical contradictions."
    },
    {
      "id": "trend_mixture_summary",
      "locations": [
        "PDF p9 Table2",
        "PDF p23 Table6",
        "PDF p27 affiliation table"
      ],
      "finding": "Appendix Trend ROC(.944+.917)/2=.9305, Mixture(.906+.879)/2=.8925; main table labels Trend.892 and Mixture.931. Affiliation summaries also correspond to the opposite category.",
      "scope": "At least one category mapping/report is inconsistent; cannot infer which table is authoritative."
    },
    {
      "id": "alternating_not_nested_optimum",
      "locations": [
        "PDF p18 Algorithm1"
      ],
      "finding": "Both mask and model steps differentiate the same total loss with the other block fixed. Algorithm is alternating block-gradient updates; it does not specify differentiation through an inner optimum or a convergence guarantee.",
      "scope": "Does not establish algorithm ineffective."
    },
    {
      "id": "zero_error_coverage",
      "locations": [
        "PDF p19 Algorithm2"
      ],
      "finding": "torch.count_nonzero(main_loss,dim=1) counts nonzero errors instead of all covering patches; an exactly zero-error covering patch is omitted, and all-zero errors produce0/0.",
      "scope": "Boundary bug in printed pseudocode. Released implementation and impact on reported results not established; no execution performed."
    },
    {
      "id": "evidence_and_cost_limits",
      "locations": [
        "PDF pp6–7 scoring",
        "PDF p9 Table3",
        "PDF pp16–18 settings"
      ],
      "finding": "Whole windows and overlapping patches can contain observations after a scored point. Time-frequency modeling and branch ablations support offline use; meanROC .816 vs no-frequency-loss.760/CD.790 is material, while no-alternating.811/regularizer.809 differences lack seed uncertainty. Independent selection/threshold protocols and full costs are insufficiently specified, not demonstrated leakage."
    },
    {
      "id": "README_version",
      "locations": [
        "https://github.com/decisionintelligence/CATCH/blob/master/README.md"
      ],
      "finding": "Official README independently retrieved at blob7a1c56d0a38b517cac90b6390dfff3f1ce134c7f provides model and detect_score/detect_label script paths and data links, but states10 real datasets versus12 in reviewed v5.",
      "scope": "Resource entrance/version mismatch only; no installation or execution."
    }
  ],
  "known_limits": [
    "Original history file records empty; full old reviews absent, historical votes0.",
    "Reading order/independence are reviewer attestations, not reconstructed timing logs.",
    "E2 numeric n=1, unknown4, mean50 variance0 reflects one tentative vote only; other A–E dimensions n=5. F1–F4 unknown5.",
    "No experiments or source-code execution. Central evidence and selected claims checked, not every sentence or predecessor."
  ],
  "errata_to_apply": [
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      "reviewer": "B",
      "path": "/workspace/shared/candidate_review_batch001/reviewer_b/ATT-0349/ERRATUM_B_SCOPE_001.json",
      "companion_files": [
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      ]
    },
    {
      "reviewer": "C",
      "path": "/workspace/shared/candidate_review_batch001/reviewer_c/ATT-0349_C_signed_addendum.v1.json",
      "companion_files": [
        "/workspace/shared/candidate_review_batch001/reviewer_c/ATT-0349_C_signed_addendum.v1.zh-CN.md"
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    },
    {
      "reviewer": "D",
      "path": "/workspace/shared/candidate_review_batch001/reviewer_d/ATT-0349_CLARIFICATION_01.json",
      "companion_files": [
        "/workspace/shared/candidate_review_batch001/reviewer_d/ATT-0349_CLARIFICATION_01.md"
      ]
    }
  ],
  "accepted_errata": [
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      "reviewer": "B",
      "path": "/workspace/shared/candidate_review_batch001/reviewer_b/ATT-0349/ERRATUM_B_SCOPE_001.json",
      "sha256": "391e6591a88269f8ff7771c6cc4086c1d3a8f734ab2939db311293e730ededb7",
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      "same_vote_not_additional_reviewer": true,
      "scores_changed": false
    },
    {
      "reviewer": "C",
      "path": "/workspace/shared/candidate_review_batch001/reviewer_c/ATT-0349_C_signed_addendum.v1.json",
      "sha256": "c91c21e561495e29a5cce2c95db125e1d3b32fa52c82fff677ab2b3dc20b09ef",
      "companion_sha256": {
        "ATT-0349_C_signed_addendum.v1.zh-CN.md": "c487af60ee7e7f818991b3ba4c3fb7e0be3c9de23800de9f5319edd440353c9e"
      },
      "same_vote_not_additional_reviewer": true,
      "scores_changed": false
    },
    {
      "reviewer": "D",
      "path": "/workspace/shared/candidate_review_batch001/reviewer_d/ATT-0349_CLARIFICATION_01.json",
      "sha256": "e6b82fa32cb620d3b9ec404bb0c26c96b642a4b1e0a022ade2bbebe8133e8ea9",
      "companion_sha256": {
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      "same_vote_not_additional_reviewer": true,
      "scores_changed": false
    }
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  "input_pdf_sha256": "7bb18834c337810be427efe056e4e8aac9d4f163a9d8b8f59375470202ff53dd",
  "no_experiments_run": true,
  "C_batch_schema_signoff": {
    "path": "/workspace/shared/candidate_review_batch001/reviewer_c/C_BATCH001_SIGNED_SCHEMA_ADDENDUM.v1.json",
    "sha256": "ae9eae49136e55320c605a0b2cd97b93310f5e871ad8fa2efb98b564d5c4f0d8",
    "all_24_effective_fields_match": true,
    "numeric_values_changed": false,
    "same_reviewer_vote": true
  },
  "additional_source_files": [
    "/workspace/shared/candidate_review_batch001/reviewer_c/C_BATCH001_SIGNED_SCHEMA_ADDENDUM.v1.json"
  ]
}
