v2a scale and bounded attention install on attn2 / video_to_audio_attn, which the
block-only sweep never reached and never tagged. The census prints what is still
installed before sampling, so a count that grows is proof rather than a hunch.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Two audit findings on the experimental feature stack:
1. Leak: an interrupt or OOM inside _sample_chunk skipped the per-feature
unwind blocks, leaking embed_guidance/score_slider/output_guidance/temporal
wrappers on the shared ModelPatcher - every later run then chained new
wrappers onto the leaked ones and double-steered (same in-process
progressive-corruption mode as the old block-hook leak).
- one base-wrapper snapshot per scene, restored in the same finally that
removes the v2a hooks; the four conditional unwind blocks are gone
- every per-scene wrapper is tagged with its predecessor; sample() strips
leaked tagged chains at run start (mirrors strip_funpack_block_hooks)
2. Inert feature: output_guidance applied the RAW value-fn gradient, whose
per-element magnitude is O(1/pool_window) - at video-latent sizes the
correction was ~1e-6 relative, i.e. numerically a no-op. It also fed the
full packed AV tensor to a value function trained on the video stream
alone (shifted pooling buckets + audio contamination).
- gradient now computed on the packed latent's video span only (matches
the training domain of _save_output_value_snapshot)
- delta norm-calibrated: strength = fraction of video-stream norm per
fully-ramped step (0.02 = 2%), same relative convention as the slider
- audio region byte-identical by construction (cat, not post-hoc mask)
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
