Renumber spec 001 decision placeholders to D-040–D-051; record the Danish publication

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

docs/Decisions.md

@@ -125,7 +125,7 @@ than ONNX Runtime under Bun; the server engine becomes genuinely useful rather t
 slow convenience.
 
 ## D-014 — WASM sessions run at graphOptimizationLevel "basic"
-**Status:** **Superseded by D-WS1c** (bug workaround, 2026-07-10; the ort-web
+**Status:** **Superseded by D-043** (bug workaround, 2026-07-10; the ort-web
 build in Transformers.js 4.3.2 no longer has the bug, so the cap is gone)
 On the WASM backend, the inference worker passes
 `session_options: { graphOptimizationLevel: "basic" }` to the Transformers.js
@@ -1226,7 +1226,7 @@ exists to catch.
 **Consequence:** full `bun test` ≈ 19 min on CPU (en_alien ≈ 20 min of it
 on a cold run); the fast suite excludes this file.
 
-## D-WS1a — Transformers.js 4.2.0 → 4.3.2, sequential-session patch carried over
+## D-040 — Transformers.js 4.2.0 → 4.3.2, sequential-session patch carried over
 **Status:** Accepted (2026-10-29, spec 001 Goal 1)
 `@huggingface/transformers` is now pinned to exactly `4.3.2` (latest; 4.3.0
 added Safari 26+ WebGPU). It brings onnxruntime-web
@@ -1254,7 +1254,7 @@ TDT/RNN-T (transducer) decoder or joint-network loop anywhere in the
 package, so **Parakeet TDT 0.6B v3 is not supported natively**; per the
 spec, that path uses `parakeet.js`.
 
-## D-WS1d — WebGPU-side effects of the 4.3.2 upgrade: inspected, not measured (needs the owner's browser check)
+## D-041 — WebGPU-side effects of the 4.3.2 upgrade: inspected, not measured (needs the owner's browser check)
 **Status:** Open — inspection only (2026-10-29)
 This machine has no GPU and no browser WebGPU, so D-022, D-025 and D-026
 cannot be re-measured here. What the upgrade changes on that side, from the
@@ -1294,7 +1294,7 @@ cannot be re-measured here. What the upgrade changes on that side, from the
 5. **Safari 26 (macOS/iOS):** what the footer reports for "auto"; if WebGPU,
    check speed and output.
 
-## D-WS1b — D-021's `max_new_tokens: 440` is still needed on Transformers.js 4.3.2
+## D-042 — D-021's `max_new_tokens: 440` is still needed on Transformers.js 4.3.2
 **Status:** Accepted (2026-10-29) — re-test of D-021 part 3, which stands unchanged
 **Source:** 4.3.2's `WhisperForConditionalGeneration.generate()` still takes
 the seek loop on exactly D-021's condition,
@@ -1321,10 +1321,10 @@ version-to-version speed comparison.
 **Decision:** keep `max_new_tokens: 440` in `src/worker/inference.worker.ts`
 and in `tests/live-real-model.test.ts`.
 
-## D-WS1c — WASM sessions back at the default graph optimization level (D-014's "basic" cap dropped)
+## D-043 — WASM sessions back at the default graph optimization level (D-014's "basic" cap dropped)
 **Status:** Accepted (2026-10-30) — supersedes D-014
 **Re-test** of D-014's revisit condition after the Transformers.js 4.3.2 bump
-(D-WS1a), which brings onnxruntime-web `1.31.0-dev.20260914-8d85527a0`.
+(D-040), which brings onnxruntime-web `1.31.0-dev.20260914-8d85527a0`.
 Measured under Bun with onnxruntime-web's own wasm EP (not onnxruntime-node),
 1 thread, AMD Ryzen 9 9950X shared with other workstreams.
 1. **Session creation**, `onnx-community/whisper-tiny`
@@ -1361,7 +1361,7 @@ check is re-run.
 `ort-wasm-simd-threaded.*` files, but multithreaded under COOP/COEP) —
 `tests/offline.md` §2's WASM step is the owner's browser check.
 
-## D-WS4a — Whisper's "Translate to English" only on models trained for it (`canTranslate`)
+## D-044 — Whisper's "Translate to English" only on models trained for it (`canTranslate`)
 **Status:** Accepted (2026-10-29) · spec 001 Goal 4a
 `WhisperModel` gains `canTranslate: boolean` (`src/lib/models.ts`): **true** for multilingual
 tiny / base / small / medium, **false** for every `.en` model (no task token) and for
@@ -1376,13 +1376,13 @@ server's `parseLanguageAndTask` (D-032) still accepts "translate" for any model
 sends it for turbo now, and a direct API caller asking faster-whisper to translate with turbo gets
 what faster-whisper does; rejecting it server-side would be a behaviour change for API users with no
 UI benefit. Speech in another language than English can still end up in English (or Danish) through
-text translation of the finished transcript (D-WS4b), for every model.
+text translation of the finished transcript (D-045), for every model.
 
-## D-WS4b — Text translation of finished transcripts with Opus-MT, in its own worker
+## D-045 — Text translation of finished transcripts with Opus-MT, in its own worker
 **Status:** Accepted (2026-10-29) · spec 001 Goal 4b
 **What:** any finished transcript — browser file, browser live, server engine — can be translated
 da→en or en→da from a secondary "Translate transcript…" disclosure under the transcript
-(`TranslatePanel`). Whisper's own task keeps its label "Translate to English" (D-WS4a). The
+(`TranslatePanel`). Whisper's own task keeps its label "Translate to English" (D-044). The
 translation renders as a second transcript card ("Translation (English)") with its own
 `.txt` / `.srt` / `.txt+ts` exports named `<file>.<en|da>.<ext>`.
 **Models:** `Xenova/opus-mt-da-en` and `Xenova/opus-mt-en-da` — Transformers.js ONNX exports of
@@ -1432,7 +1432,7 @@ terminates the translate worker only.
 **Not done / follow-ups:** WebGPU for Opus-MT (unmeasurable here); more language pairs (the catalog
 is two entries, `TRANSLATION_MODELS`); a translation of live text *while* recording.
 
-## D-WS6a — Danish fine-tuned Whisper models: our own ONNX + CTranslate2 conversions, unpublished until the owner says go
+## D-046 — Danish fine-tuned Whisper models: our own ONNX + CTranslate2 conversions; only whisper-small-danish published
 **Status:** Proposed (2026-10-29, spec 001 Goal 6)
 **Candidates checked (licence + architecture, from each repo's model card, config and notices):**
 - `thorhojhus/whisper-small-danish` — MIT; plain `WhisperForConditionalGeneration`, whisper-small
@@ -1484,7 +1484,15 @@ use beam 5.
 cards credit the original authors and carry MIT, or Apache-2.0 + NOTICE), then set
 `DANISH_MODELS_HF_OWNER`. The integrator sets `canTranslate: false` on these entries at merge.
 
-## D-WS5a — Server engine: batched faster-whisper + tuned Silero VAD for files; live passes stay sequential
+**Publication (2026-10-30, owner's decision):** only the small fine-tune is
+published — `lucasw89/whisper-small-danish-ONNX` (browser) and
+`lucasw89/whisper-small-danish-ct2-int8` (server), public, model cards
+crediting the `thorhojhus` account and carrying MIT. The turbo-danish and
+edda-v0.2 conversions showed no clear gain over stock turbo on `da_festuge`, so
+they stay unpublished (folders kept locally in `/home/user/hf-publish/`) and
+their catalog entries were removed. `DANISH_MODELS_HF_OWNER = "lucasw89"`.
+
+## D-047 — Server engine: batched faster-whisper + tuned Silero VAD for files; live passes stay sequential
 **Status:** Accepted (2026-10-30, spec 001 Goal 5)
 `server-py/sidecar.py` decoded every request with the sequential
 `WhisperModel.transcribe`, no VAD.
@@ -1529,7 +1537,7 @@ long. Segments arrive in bursts of 8 chunks (≈ 4 min of speech) and the first
 burst can take ~15–25 s on a long file; the D-021 heartbeat covers it, and
 cancel lands at the next burst boundary. No new env vars.
 
-## D-WS2a — "Names and terms" vocabulary hint as a Whisper decoder prompt, cut to 120 tokens
+## D-048 — "Names and terms" vocabulary hint as a Whisper decoder prompt, cut to 120 tokens
 **Status:** Accepted (2026-10-29) — spec 001, Goal 2. Placeholder id; the
 integrator renumbers it.
 **Context:** users want names and jargon spelled their way. Whisper takes a
@@ -1613,14 +1621,14 @@ test; revisit if a larger list is wanted on turbo).
 long hint. WebGPU behaviour of the prompt path is unmeasured here (CPU
 only) — needs the owner's browser check.
 
-**Integration note (2026-10-30, merge with D-WS5a):** faster-whisper's
+**Integration note (2026-10-30, merge with D-047):** faster-whisper's
 `BatchedInferencePipeline` (server file mode) re-encodes `initial_prompt`
 itself and accepts only text, so the sidecar passes it the budget-cut ids
 decoded back to text (re-encoding gives the same ids, checked with the real
 tokenizer incl. "Århus, Ærø"); server-live passes keep the ids. Pinned by the
 stubbed-sidecar test "the vocabulary hint reaches the batched pipeline as text".
 
-## D-WS3a — Long-form file pipeline (Silero VAD chunks, language pinned once) ships as an Advanced option, off by default
+## D-049 — Long-form file pipeline (Silero VAD chunks, language pinned once) ships as an Advanced option, off by default
 **Status:** Accepted (2026-10-30) — spec 001 Goal 3
 Browser file transcription cuts audio into fixed 30 s windows with 5 s
 overlap (Transformers.js's chunked pipeline), decoding silence and
@@ -1678,14 +1686,14 @@ bars. Whisper's `generate()` drops kwargs not in `forward_params`, so
 instance; a Transformers.js upgrade must keep the "one encoder pass per
 chunk" assertion green. WebGPU timings are unmeasured.
 
-**Integration note (2026-10-30, merge with D-WS2a):** the long-form adapter
+**Integration note (2026-10-30, merge with D-048):** the long-form adapter
 (`worker/longform/transformers.ts`) applies the names-and-terms hint to every
 chunk's decode with the same decoder-prompt prefix as the chunked path
 (tokenized once per pass); before the merge the `prompt` option reached the
 adapter but was ignored. Pinned by a unit test in
 `tests/longform-transformers.test.ts`.
 
-## D-WS3b — Silero VAD model: onnx-community/silero-vad from the Hub, cached like Whisper weights, never fetched offline
+## D-050 — Silero VAD model: onnx-community/silero-vad from the Hub, cached like Whisper weights, never fetched offline
 **Status:** Accepted (2026-10-30) — spec 001 Goal 3
 **Decision:** the long-form pipeline's VAD is Silero VAD v5 as exported by
 `onnx-community/silero-vad` (`onnx/model.onnx`, fp32, 2 243 022 bytes, MIT;
@@ -1704,7 +1712,7 @@ path (`choosePipeline`). Live mode keeps its energy gate (D-016).
 off-by-default option); running it on the main thread (D-013).
 **Consequence:** the first "Skip silence" run online downloads 2.2 MB.
 
-## D-WS7a — Parakeet TDT 0.6B v3 as an English-only, desktop-only browser model via parakeet.js on the shared onnxruntime-web
+## D-051 — Parakeet TDT 0.6B v3 as an English-only, desktop-only browser model via parakeet.js on the shared onnxruntime-web
 **Status:** Accepted (2026-10-29, spec 001 Goal 7)
 **Runtime decision (evidence).** `@huggingface/transformers` 4.2.0 (ours) and
 4.3.2 (npm `latest`) were inspected from their published tarballs: both ship