feat(linkedin-studio): N8 — stemme-kjeden (chronicle-voice-profile + drift-logg + language-resolve + auto-gull) [skip-docs]

Bind the long-form VOICE before prose — the discipline the line already
applies to SOURCES (validate-binding), its strongest link.

- C-1/A2-F1: voice-trainer distils a chronicle-voice-profile from the
  published gold corpus (per language/format); newsletter Step 0/3a/3b bind
  drafting to it, with an explicit never-silent fallback to the short-form
  corpus (which the engine itself calls degrading for chronicle voice).
- C-2: Step 3a Pass 0 READS the chronicle-voice-drift-log as a negative list
  (it was append-only, never consumed); Step 3b re-reads it in expansion.
- C-3: Step 1 resolves + persists the top-level edition-state.language, making
  the template doc-string's "Resolved at Step 1" claim true; the Norwegian
  review axis (language-reviewer / voice-scrubber) now fires when the edition
  IS Norwegian instead of being silently off by default. Step 6.5 already
  consumed the field — resolving it closes the axis end-to-end.
- A2-F2: Step 8 lock appends the locked edition to ingest/published
  (provenance=published), so the gold corpus the profile distils from grows
  one edition at a time — never the engine's drafts.

Domain-general throughout (languages/formats from the user's own corpus).
test-runner 140 -> 146 (Section 16o: 6 unconditional voice-chain greps +
non-vacuity self-test; anti-erosion floor 123 -> 129). All six suites green
(trends 300, brain 134, hooks 140, tests 35, render 60).

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_014bE7VbkmR3cqHFEeGfzgwb

agents/voice-trainer.md

@@ -152,6 +152,39 @@ Architecture: [prose/sectioned/framework]
 
 Flag if: fewer than 5 samples (low confidence), single time period (temporal bias), or contradictory patterns (possible ghostwriting).
 
+### Long-form chronicle voice profile (per language / format)
+
+Short-form feed posts and long-form editions (newsletters, essays, chronicles) are
+**different registers of the same author** — a device the author bans in a punchy
+short post (e.g. the em-dash) can be load-bearing rhythm in a long-form chronicle.
+Drafting long-form against the short-form corpus therefore *degrades* the chronicle
+voice (this is `voice-scrubber`'s canonical rule). So the long-form pipeline binds
+to its own distilled artifact, which this agent generates:
+
+- **Artifact:** `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/profile/chronicle-voice-profile.md`
+  — a distilled long-form voice profile built with the same six-dimension
+  framework as the general profile, but from **only the long-form gold corpus**.
+- **Corpus (published gold only):** the approved/published long-form editions under
+  `${LINKEDIN_STUDIO_DATA:-$HOME/.claude/linkedin-studio}/ingest/published/`
+  carrying `provenance=published`. The same model-collapse fence applies —
+  **never distil chronicle voice from `provenance=ai-draft`**, and never from the
+  short-form `voice-samples/authentic-voice-samples.md` corpus (wrong register).
+- **Per language AND format — domain-general.** Emit one profile section per
+  `(language, format)` pair actually present in the corpus (e.g. `no` / newsletter),
+  keyed by those axes; the author's languages and formats come from their OWN
+  corpus, never hardcoded. If a `(language, format)` pair has no published editions
+  yet, say so plainly and emit no section for it — do not invent a chronicle voice
+  from short-form samples or from assumptions.
+- **Grows automatically.** Each locked edition is appended to the gold corpus at
+  `/linkedin:newsletter` Step 8 (`provenance=published`), so re-running this
+  distillation sharpens the chronicle profile over editions without manual curation.
+
+Trigger this distillation on the same events as the general profile (a new
+published edition, quarterly audit, explicit request). The long-form pipeline
+(`/linkedin:newsletter` Step 0 / 3a / 3b) reads this artifact; when it is missing,
+that pipeline warns and falls back — it never silently drafts against the wrong
+corpus.
+
 ## Voice Drift Detection
 
 ### Drift Scoring