{
  "schemaVersion": "ready-scan.agent-verification.v1",
  "protocolVersion": "ready-scan.agent-return.v1",
  "entity": {
    "id": "urn:readyscan:entity:library-excellence-awards-q137218040",
    "slug": "library-excellence-awards-q137218040",
    "revision": "fnv1a64:f6fc9dfccb4e961a"
  },
  "claimId": "source-description",
  "result": "supported",
  "scope": "published_evidence_only",
  "asOf": "2026-07-29",
  "evaluatedAt": "2026-09-24T23:29:51.289Z",
  "evidenceRevision": "fnv1a64:cd5c799fc755f774",
  "evidenceIds": [
    "ev-source-description"
  ],
  "decisionReceipt": "fnv1a64:9565cba61243ad5e",
  "outboundRequestsMade": false,
  "relations": {
    "discovery": "https://readyscan.ai/api/v1/ai-search/discovery",
    "evidence": "https://readyscan.ai/api/v1/ai-search/entities/library-excellence-awards-q137218040/evidence",
    "verification": "https://readyscan.ai/api/v1/ai-search/verify?entity=library-excellence-awards-q137218040"
  },
  "limitations": [
    "This decision evaluates only exact claim IDs in Ready Scan published evidence and does not establish independent factual truth."
  ]
}