Fix README approximate-value rendering

README.md

@@ -153,7 +153,7 @@ The full forensic detail — every measurement, the false-positive byte-match au
 
 ## Limitations
 
-1. **No retraining, ablation, or forced alignment at v1 — this is the big one.** Every PASS verifies self-consistency with the generating backend (the defect is *absent*), **not** label-to-audio correctness. PERs are cited against citation-form lexicon gold, not IPAPACK++ audio. Tone-restored `zh`/`yue`/`th` apply no sandhi (你好 ships as `nǐ hǎo`, unsandhied) — treat as "tone present, value unverified." Because there is no reliable token-level alignment in seq2seq G2P, each fix re-transcribes the *whole* utterance, so non-target tokens adopt that backend's conventions (reduced forms, stress/length marks) — likewise not audio-validated. A full audit of all ~1.9 M regenerated rows confirms this re-transcription **introduces a small rate of new errors** — ~38 malformed labels, ~1,100 illegal genitive clusters (en/ca), ~1,000 gold-regressions in two re-routed cells — but the fixes outweigh them by **~100:1** for the main signatures. The exception is the Malay (`ms`) re-route, which is **net-negative** (the routed backend emitted English-style pronunciations) — **fall back to v0 there.**
+1. **No retraining, ablation, or forced alignment at v1 — this is the big one.** Every PASS verifies self-consistency with the generating backend (the defect is *absent*), **not** label-to-audio correctness. PERs are cited against citation-form lexicon gold, not IPAPACK++ audio. Tone-restored `zh`/`yue`/`th` apply no sandhi (你好 ships as `nǐ hǎo`, unsandhied) — treat as "tone present, value unverified." Because there is no reliable token-level alignment in seq2seq G2P, each fix re-transcribes the *whole* utterance, so non-target tokens adopt that backend's conventions (reduced forms, stress/length marks) — likewise not audio-validated. A full audit of all approximately 1.9 M regenerated rows confirms this re-transcription **introduces a small rate of new errors** — approximately 38 malformed labels, approximately 1,100 illegal genitive clusters (en/ca), approximately 1,000 gold-regressions in two re-routed cells — but the fixes outweigh them by approximately **100:1** for the main signatures. The exception is the Malay (`ms`) re-route, which is **net-negative** (the routed backend emitted English-style pronunciations) — **fall back to v0 there.**
 2. **Most of the package is unchanged paper baseline.** ~1.9 M rows touched; **6,383,316 (77 %)** ship unchanged, including a parse-cell blind spot of ~2.49 M cuts (MLS, OpenSLR, hyphenated `zh-CN`/`sv-SE` cells) never routed through the detectors. Treat any `v3_backend="unchanged"` row as "paper-baseline quality, not audited by this release."
 3. **The 7 no_route ISO codes are unmeasured.** `mn, ia, ceb, jv, ff, tg, skr` (~19 k utts) sit at `ipa_v0` with `drop_flag=False`.
 4. **The shipped vocab predates the cleanup.** Encoding `phones_v1_clean` with `ipa_simplified/unigram_127.model` sends ≈1.36 M utts to `<unk>` (≈680 k after `ɡ→g`). These are **not** label defects — normalize `ɡ→g` or extend the vocab before training.