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Merge pull request #81 from wiltodelta/docs/video-synthid-parked-state
Record the video SynthID measurements and park the investigation
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date,source_url,source_sha256,source_width,source_height,source_fps,duration_seconds,source_verdict,vae,noise_std,long_side,fps,seed,output_sha256,output_verdict,output_verdict_text,output_detected_range,track,session_id,stratum,psnr_db,temporal_residual_ratio
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2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,,,,8,detected_all_frames,,0.10,512,12,0,079165105d4c56e1612091987c08c2627049423025f74c0d4e245fb47c2ff0e3,detected,,,,,,26.2932,1.0072
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2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,,,,8,detected_all_frames,,0.15,512,12,0,1c4046bcfdead138353b4e2a73339ba227bb5e544878d80c5bc6cd8427c7b00e,not_detected,,,,,,25.3911,1.0578
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2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,1920,1080,24,8,detected_all_frames,,0.10,512,12,0,079165105d4c56e1612091987c08c2627049423025f74c0d4e245fb47c2ff0e3,detected,,,,,,26.2932,1.0072
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2026-07-31,https://storage.googleapis.com/gdm-deepmind-com-prod-public/media/media/veo__veo-3__off-road.mp4,79a552b9406a079682440c31f14d33a10ba8e1b8b2e96425f5de70f63350299d,1920,1080,24,8,detected_all_frames,,0.15,512,12,0,1c4046bcfdead138353b4e2a73339ba227bb5e544878d80c5bc6cd8427c7b00e,not_detected,,,,,,25.3911,1.0578
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@@ -112,6 +112,21 @@ measured 25.39 dB paired PSNR and a 1.058 motion-compensated temporal-residual
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ratio. This is one carrier, not a universal guarantee; hashes and exact verdicts
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are tracked in `data/evaluations/video-synthid-oracle.csv`.
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### The invisible video path does not touch the audio track
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`remove_video_invisible` regenerates the video stream and copies the source audio
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verbatim: the extracted audio bitstream of input and output has an identical
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sha256, measured on two carriers. It also strips every metadata marker, so the
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output can report clean from `get_ai_metadata` and `identify_video` while carrying
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an untouched generated audio track. Google's verifier scores audio and visual
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tracks separately, and a track this path never modifies is a track it cannot have
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cleaned.
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Whether a given carrier's audio actually holds a mark the verifier reads has not
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been established -- that needs a provider verdict, which has not been obtained.
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Treat a clean local report on a clip with generated audio as unproven, not as a
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guarantee, and check the audio separately when it matters.
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The shipped engine streams sampled frames in bounded batches, computes its
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fidelity metrics incrementally, and pipes regenerated pixels directly to
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ffmpeg. Its frame and latent memory is therefore bounded by `--batch-size`
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@@ -171,6 +171,120 @@ Three readings, all MEASURED, none of them about SynthID:
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so the `max(temporal_baseline, 1e-6)` denominator collapses and the ratio
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inflates. This is the predicted defect, now observed rather than argued.
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## Measurements on the real carrier (2026-08-06)
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The public Veo 3 off-road sample was downloaded and its sha256 matched the manifest
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exactly, so everything below is measured on the same file the 2026-07-31
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calibration used. Its properties, none of which the manifest recorded at the time:
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H.264 1920x1080 at 24 fps, 8.000 s, 5,155,063 bps video, plus an **AAC 48 kHz
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stereo 192,241 bps audio track of 7.914 s**.
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The shipped profile therefore delivers 512x288 at 12 fps: **7.1% of the frame area
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and 3.6% of the pixels per second.**
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### The geometry prize, measured end to end
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Scored with `scripts/video_fidelity_probe.py` against the untouched 1920x1080
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source, all at `noise_std=0.15`:
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| Geometry | Frame area | PSNR | SSIM | Temporal | Bitrate |
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| --- | --- | --- | --- | --- | --- |
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| 512x288 @12 (shipped) | 7.1% | 25.3971 | 0.8215 | 1.0407 | 2187 kbps |
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| 768x432 @12 | 16.0% | 27.3796 | 0.8556 | 1.0323 | 3782 kbps |
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| 1024x576 @12 | 28.4% | 28.8542 | 0.8819 | 1.0262 | 5604 kbps |
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| 512x288 @24 | 7.1% | 25.6142 | 0.8270 | 1.0995 | 3181 kbps |
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**512 to 1024 is worth +3.46 dB, against 1.92 dB for the entire `noise_std` axis.**
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The geometry lever is roughly twice the noise lever, which is the first hard number
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this investigation has for the size of the prize. What it still costs in removal is
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unknown: none of these was ever submitted.
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Two readings that are not obvious from the table:
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- **Temporal residual improves as resolution rises** (1.0407 to 1.0262). The shared
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noise field lives on the latent grid, so at 1920 it is four times finer relative
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to the frame than at 512, where it stretches into low-frequency blotches. Higher
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resolution plausibly makes the perturbation *less* visible, not more.
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- **The frame-rate arm looks bad here and the metric is the wrong judge.** 24 fps
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buys +0.22 dB and worsens the temporal ratio to 1.0995, but what 24 fps actually
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buys is smoothness, which neither PSNR nor SSIM measures at all. The metric sees
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only the cost. Do not decide the fps question from this table.
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Encoder cost on an M-series MPS device, 8 seconds of source: 51 s at 512/12, 180 s
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at 768/12, 380 s at 1024/12, 190 s at 512/24. Native 1920x1080 at 24 fps
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extrapolates to roughly 46 minutes for the same 8 seconds, around 350x real time. A
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native run was started and killed before producing anything, so that figure remains
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an extrapolation.
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### The certified row does not reproduce
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Re-running the certified configuration (512/12/0.15, seed 0) on this machine gave
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25.5002 dB and 1.0675 against the manifest's 25.3911 and 1.0578, and a different
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output sha256. The manifest records neither device nor dtype, and the original was
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almost certainly CUDA fp16 while this was MPS fp32. **The oracle certified a
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specific file that cannot be rebuilt**, so any re-run produces an artifact the
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verifier never saw. Device and dtype belong in the schema.
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### Audio passes through untouched, and the output still reads clean
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Established on two carriers, by comparing the extracted audio bitstream sha256 of
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input and output:
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- Veo carrier: `674063df...` in, `674063df...` out.
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- A Lyria 3 track generated for this purpose: `6ee4c041...` in, `6ee4c041...` out.
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The Lyria case is the sharper one because its provenance is known. Google's own
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generator stamps it: `get_ai_metadata` reads a C2PA manifest naming
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`Google C2PA Core Generator Library`, issuer `Google LLC`, `trainedAlgorithmicMedia`.
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After the shipped path runs, that output reports `{}` -- every metadata marker
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stripped, `remaining_metadata` empty, visuals regenerated -- while the audio the
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generator produced is bit-for-bit intact.
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So the pipeline can produce a file that **our own detector calls clean while an
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untouched Google-generated audio track sits inside it**. The mechanism is proven;
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whether that audio carries an audible-to-the-verifier SynthID mark is not, and only
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the oracle can say. If it does, this is a shipped defect rather than a quality
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question, and it outranks everything else in this document.
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Worth recording alongside it: the Veo carrier itself returns `{}` from
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`get_ai_metadata`. The public sample carries no C2PA at all, which is exactly why it
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needed an oracle verdict in the first place.
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## State when this work was parked (2026-08-06)
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Landed in `main` through PR #78: the manifest-backed default pin, the
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scaling-factor gate and its single seam, the sweep loading through the engine's
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loader, `scripts/video_fidelity_probe.py` with its tests, the extended manifest
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schema, and this document. **The shipped operating point did not move**: it is
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still 512 px / 12 fps / `noise_std=0.15`.
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A product requirement arrived late and reframes the target: output resolution,
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frame rate and bitrate must not be reduced. Resolution, frame rate and crf are
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parameters and can be preserved, but zero quality loss is not achievable by this
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mechanism at all -- removal works by rebuilding pixels, so a regeneration can never
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return its input. The honest goal is to preserve container properties and make the
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perceptual loss imperceptible, judged by DISTS and VMAF rather than PSNR. Two
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consequences follow: crf 18 on this path against crf 14 on the visible path is an
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unexplained asymmetry and a free quality win, and the oracle's 100 MB limit means a
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higher-quality profile is *harder* to certify than the one it replaces.
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Nothing is blocked on analysis. Six oracle submissions were prepared and never run,
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because file upload to the verifier failed at the tool level:
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1. A Lyria carrier and the pipeline's output from it, answering the audio question.
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2. A multiplexed control-plus-candidate file at the shipped geometry, validating
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whether the verifier reads a concatenated pair by time range. Verified locally
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frame by frame: half one is bit-identical to the control, half two to the
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candidate.
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3. Three more multiplexed pairs for 768, 1024 and 24 fps, worth three queries
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instead of six if the instrument validates.
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Every generated artifact for those submissions has since been lost with its
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scratch directory, which is the intended lifecycle for generated media. Rebuilding
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costs one download and roughly 25 minutes of encoding; the Lyria track is the
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exception, since regenerating it would produce a different track, and the copies
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that survive are the only ones.
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## The single most important unknown
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**How much the 512 px downscale contributes to removal.** Every quality gain routes
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