{
  "schema_version": "1.1",
  "register_id": "LDW-AI-FAILURES-001",
  "release": "v2.0-RC3-HF2",
  "updated_at": "2026-10-04T01:27:00-04:00",
  "records": [
    {
      "id": "LDW-AI-FAIL-2026-10-03-001",
      "class": "stale_current_state_retrieval",
      "severity": "MEDIUM",
      "status": "REMEDIATED_VERIFIED",
      "evidence": "Google AI test #1 credential response",
      "failure_condition": "External AI returned superseded pending-intake credential state after verified credential evidence existed.",
      "remediation": "HF1 current-state synchronization across evidence/search/capability/manifest/provenance surfaces.",
      "regression_control": "G-AI credential test plus current-state equality scan.",
      "criteria_basis": "Observed external-AI answer contradicted current credential evidence and could materially misstate a verified academic credential.",
      "retest_required": false,
      "retest_evidence": "Google AI targeted HF1 retest on 2026-10-04."
    },
    {
      "id": "LDW-AI-FAIL-2026-10-03-002",
      "class": "scope_expansion_facilities",
      "severity": "LOW",
      "status": "REMEDIATED_VERIFIED",
      "evidence": "Google AI test #1 infrastructure response",
      "failure_condition": "External AI added operational/resource-allocation mechanisms beyond the minimum supported facility evidence.",
      "remediation": "HF1 visible and machine-readable facility-scope guard.",
      "regression_control": "G-AI infrastructure test plus prohibited-inference scan.",
      "criteria_basis": "Observed answer was directionally correct but introduced unsupported operational specificity that could be repeated in downstream summaries.",
      "retest_required": false,
      "retest_evidence": "Google AI targeted HF1 retest on 2026-10-04."
    },
    {
      "id": "LDW-AI-FAIL-2026-10-04-003",
      "class": "credential_title_normalization",
      "severity": "LOW",
      "status": "REMEDIATED_RETEST_PENDING",
      "evidence": "Google AI machine-layer follow-up after HF1 targeted retest",
      "failure_condition": "External AI preserved the verified credential facts but normalized the exact formal credential title instead of reproducing the credential-of-record wording.",
      "remediation": "HF2 literal-title lock across credential evidence, section manifest, visible credential governance, interpretation constitution, companion update contract, and regression controls.",
      "regression_control": "G-AI-006 exact-title literal requirement plus standalone exact-title retest.",
      "criteria_basis": "The semantic meaning was substantially correct, but exact credential nomenclature is a governed evidentiary fact and should not be silently normalized.",
      "retest_required": true
    }
  ],
  "record_count": 3,
  "rule": "Registered failures are observed external-AI interpretation defects or stale-state retrieval defects with documented remediation and regression controls; registration does not imply model misconduct or external platform noncompliance."
}