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    "CEV-DEDUP-001",
    "CEV-PUBLICATION-001"
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  "assessmentTimestamp": "2026-08-24T00:00:00Z",
  "assessmentVersion": "7.18",
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    "aggregateProbabilityScoreProduced": false,
    "aggregateTruthScoreProduced": false,
    "majorityVoteUsed": false,
    "noMatchIsPositiveEvidence": false,
    "noMatchMeansNoCounterevidenceExists": false,
    "sourceCountVoteUsed": false,
    "weightedVoteUsed": false
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    "applicablePopulation": "People affected by covered federal high-impact AI uses",
    "claimId": "claim:v715:86457d6f3b68458b9833",
    "exactLanguage": "For covered U.S. federal high-impact AI uses, OMB M-25-21 requires impact assessment, testing, human oversight, and appeal or evidence-assessment processes; those controls do not establish the asserted seven-way interaction among all constituent research issues.",
    "exclusions": [
      "policy effective in 2025–2026",
      "no claim that the full K7 interaction is empirically established."
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    "jurisdiction": "United States federal agencies",
    "relevantTimePeriod": "2025-04-03/2026-08-24",
    "scope": "Covered U.S. federal agency high-impact AI uses under OMB M-25-21; policy effective in 2025–2026; no claim that the full K7 interaction is empirically established."
  },
  "completenessIntegration": {
    "counterevidenceBlockingCodes": [],
    "counterevidenceRequirementStatus": "SATISFIED",
    "existingBlockingCodes": [
      "MECHANISM_UNRESOLVED",
      "REQUIRED_SUBSET_EVIDENCE_MISSING"
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    "sourceCompletenessJsonRoute": "/data/evidence-completeness-v717/records/k7-a9740b207405e659e26d.v1.json",
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          "evidenceRecordId": "evidence:v715:af320b2ca613835365ba",
          "finding": "Paraphrase: agencies must conduct pre-deployment testing and AI impact assessments, provide human oversight, and offer appeal or deterministic evidence assessment where appropriate.",
          "limitation": "The memorandum governs covered federal agency uses and does not establish outcomes across all seven constituent issue domains.",
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          "locatorValue": "§ 4(b)(ii)–(vi), PDF pages 15–16",
          "role": "CONFIRMATORY",
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          "finding": "Paraphrase: the AI RMF supplies a voluntary, rights-preserving risk-management framework; its voluntary and use-case-agnostic nature limits claims of implementation or cross-system effect.",
          "limitation": "The framework is voluntary, use-case agnostic, and does not itself demonstrate implementation or outcomes.",
          "locatorType": "SECTION",
          "locatorValue": "NIST AI 100-1, Executive Summary and Framework scope",
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          "evidenceRecordId": "evidence:v715:61fe3208e6da896b402f",
          "finding": "No qualifying source was found in the bounded official-source search that directly tests the full seven-way constituent interaction represented by this K7 object.",
          "limitation": "This bounded pilot search excluded subscription databases and is not a systematic literature review.",
          "locatorType": "NOT_APPLICABLE",
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          "role": "NO_MATCH",
          "sourceId": "NO_MATCH",
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      "DISCONFIRMATORY": "Materially weighs against the bounded proposition or required condition.",
      "MIXED": "Contains materially relevant supportive and contrary material in one governed record.",
      "NO_MATCH": "A recorded bounded search did not yield qualifying evidence; this is distinct from no search and from proof that no contrary evidence exists."
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    "objectType": "INTERSECTIONAL_THEME",
    "title": "Administrative Discretion & Accountability × Cross-System Compounding & Intersectional Amplification × Cumulative & Intergenerational Disadvantage × Data Classification & Measurement Fidelity × Remedy, Retaliation & Access to Redress × Spatial Segregation & Unequal Access × Unequal Resource Allocation & Public Investment"
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        "requirementId": "ECR-MECHANISM-001"
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        "requirementId": "ECR-SUBSET-001"
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    "disconfirmatoryEvidenceAutomaticallyBlocks": false,
    "effect": "PUBLICATION_REMAINS_BLOCKED_BY_EXISTING_REQUIREMENTS",
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      "scopeType": "RECORDED_STRUCTURED_SEARCH",
      "scopes": [
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      "sourceClassesSearched": [
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    "searchStatus": "SEARCH_COMPLETE",
    "status": "SATISFIED"
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