Freeze unseen music stress corpus and independently verified gated DTW experiment

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# Unseen music metadata stress validation v1
This small source pool and its 18 queries were frozen before any model inference.
It is independent of the two music files used to motivate the metadata-field
hypothesis. Labels come from publisher descriptions, not model outputs. There is
one assistant annotator; human listening and a blinded second annotator have not
been executed. These instrument demos and short excerpts do not represent a
large music collection or full-song recognition.
| Source | Publisher / attribution | License | Download bytes |
| --- | --- | --- | ---: |
| [Acoustic guitar sample](https://commons.wikimedia.org/wiki/File:AcousticGuitarSample.ogg) | RyGuy / Ryan | PD-self | 889069 |
| [Cello strings](https://commons.wikimedia.org/wiki/File:Cello_strings.ogg) | Georg Feitscher | CC BY-SA 3.0 | 296474 |
| [Drum cadence A](https://commons.wikimedia.org/wiki/File:Drum_-_Cadence_A.ogg) | United States Navy Band | PD-USGov | 1574547 |
| [Bucket mute trumpet demo](https://commons.wikimedia.org/wiki/File:Bucket_mute_trumpet_demo.ogg) | Ovinus Real | CC BY-SA 4.0 | 228972 |
| [After You've Gone, tenor saxophone excerpt](https://commons.wikimedia.org/wiki/File:Afteryouvegone-first8bars.ogg) | Julien Grandgagnage / Beachcomber | CC BY-SA 3.0 | 300001 |
| [Ain't She Sweet, soprano saxophone excerpt](https://commons.wikimedia.org/wiki/File:Aintshesweet8bars.ogg) | Julien Grandgagnage / Beachcomber | CC BY-SA 3.0 | 250846 |
Total acquisition: **3539909 bytes**, approximately 3.38 MiB. License URLs and
publisher attribution are preserved in `fixture.json`; source SHA-1 comes from
the official Commons imageinfo API, acquired bytes are also SHA-256 locked in
`inputs.lock.json`. Do not substitute similarly named files. Raw audio and
generated containers stay under ignored `.searchi/qa/music-validation-v1`.
## Preparation and stress variants
Preparation takes the first at most 30 seconds, resamples to mono 16 kHz and
encodes lossless FLAC. It produces actual containers with original whitelisted
tags, missing tags and cyclically transferred actual tags from the next source.
The exact decoded PCM SHA-256 must match across each source's three variants
before audio vectors can be reused. These are controlled tag-corruption cases,
not naturally mislabeled customer files. Generated excerpts/variants retain the
original source's license and attribution, with these modifications disclosed.
The drum source actually has no descriptive tags. The guitar has only artist
`Ryan`. Cello supplies `cello strings`; trumpet supplies `Bucket mute`; the sax
titles identify tenor/soprano. Empty tag input creates no metadata vector. A
cyclic transfer from the tagless drum remains tagless; this fact is retained,
not replaced with an invented instrument label. Comments and encoder strings
are not semantic metadata input.
Two existing photo and two sound-effect files are fixed mixed-media competitors:
`image01`, `image02`, `sound01`, `sound02` from the previously frozen media corpus.
They are distractors, not new validation positives. All competitors stay in each
lane. This does not cover the entire 32-file mixed regression or spoken videos.
Twelve instrument queries have English/German pairs. Broad saxophone queries
credit both sax recordings; they are not incorrectly declared absent. Four
absence queries ask for bagpipes, an absent singer/title, and an absent spoken
topic. They remain separate from positive recall; no threshold has been selected.
Specific tenor/soprano labels follow primary descriptions, with listening still
needed to independently verify perceptual specificity. Language pairs and
metadata variants share recordings and are correlated, not independent examples.
## Run after reserving the CPU slot
```powershell
python tools/media-eval/prepare_music_validation.py fixtures/music-validation-v1/fixture.json .searchi/qa/music-validation-v1 .searchi/media-runtime/bin/ffmpeg.exe .searchi/media-runtime/bin/ffprobe.exe
cargo test --manifest-path tools/media-eval/Cargo.toml --bin metadata_validation --locked
$env:SEARCHI_FORCE_CPU = '1'
cargo run --manifest-path tools/media-eval/Cargo.toml --bin metadata_validation --locked -- fixtures/music-validation-v1/fixture.json .searchi/qa/music-validation-v1/prepared.json .searchi/models/embeddinggemma2 .searchi/runtime/auto/Release/searchi-gemma-worker.exe .searchi/media-runtime/bin/ffmpeg.exe .searchi/media-runtime/bin/ffprobe.exe .searchi/qa/music-validation-v1/results.json
```
Preparation already completed without inference. Its frozen plan SHA-256 is
`8598312836f3c027b578f9f93ca1cd2d38d708bc0fd713fe174f10776934cbb2`;
fixture SHA-256 is
`f9d7785ff937020b802e6c56252e64bbc3cd22e9a09709ddce9b82f9adc1b577`.
Use a fresh output directory for another preparation; existing plans and result
files are preserved. Decoder hashes and actual container tags are checked.
The diagnostic uses actual Google EmbeddingGemma 2 on CPU, one thread. Each of
the eight distinct audio sources is encoded once and both photos at 280 tokens.
Metadata fields use neutral `File metadata`, the unchanged 2048-byte whitelist
policy and maximum over each file's real evidence. All field, source and variant
citations remain explicit; a metadata hit has no fabricated timestamp. Four
lanes compare media-only, original tags, missing tags and misleading tags without
tuned weights or cutoff. Report positive recall and no-answer failure separately.
This direct cosine diagnostic is not production ANN/hybrid validation.