Preserve explicit code candidates and expose verified model asset milestones

docs/RETRIEVAL-ROUTING.md

@@ -55,3 +55,25 @@ The existing `semantic.eligibility` and
 `semantic.eligibility_filtered_scan_and_hash` traces expose eligibility cost.
 Use an independently reviewed held-out corpus for acceptance; the frozen
 diagnostic alone must not become the optimization target.
+
+## Narrow suppression fix and actual regression
+
+After the frozen baseline confirmed the English speech-related code failure,
+explicit code/function/implementation cues now veto automatic audio preference,
+alongside the existing document/image cues. English and German cues are covered
+by the routing unit test. This changes candidate eligibility through routing;
+it does not add CodeRetrieval to All files or implement soft multi-lane fusion.
+
+The ignored integration `routing_google_cpu` passed on Windows CPU in **38.40 s**
+using the verified normal worker and Google model, unchanged frozen routing
+source bytes and the licensed real roaring-creature sound. The same remembered
+code query produced qualifying audio candidates through the explicit Audio
+diagnostic lane. Updated default semantic routing also returned the source
+implementation, proving the exclusive suppression is removed in this fixture.
+The test asserts candidate preservation, not top-1 superiority or broad quality.
+The full mixed baseline above remains the unchanged pre-fix measurement.
+
+With this fix and the verified-asset callback, the Windows CPU workspace suite
+passed 130 tests (23 explicitly ignored integration/resource checks), desktop
+Rust passed 28, and both strict all-target Clippy checks and formatting passed.
+The ignored actual routing regression was executed separately as described above.