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Record the CIELAB color-restoration measurement after regeneration
Transplanting the source's a,b channels onto qwen-zimage outputs at the vendor floors cut CIEDE2000 on all seven tracked originals, kept every OpenAI API verdict not_detected, but left three of four Gemini checks inconclusive and painted old object colors onto redrawn ones. Not shipped. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
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@@ -55,8 +55,11 @@ This page is an index. Each finding lives in its canonical page.
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`SecurityData` JSON object, a digital signature over the label and optionally
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the content, in `ReservedCode1` and `ReservedCode2`. The library accepts those
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fields as label evidence but does not verify the signature.
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- **Experiments.** Chroma restoration after regeneration (from the NeurIPS 2024
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"Erasing the Invisible" winning solution, arXiv:2508.21072), FLUX.2 klein and
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- **Experiments.** Chroma restoration after regeneration (arXiv:2508.21072) was
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measured on 2026-09-27 and is not shipped: transplanted source chroma left
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three of four Gemini checks inconclusive and ghosts redrawn objects
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([removal research](synthid-removal-research.md#color-restoration-after-regeneration-2026-09-27)).
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Still open: FLUX.2 klein and
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Z-Image-Turbo as global stages (with an Apple Silicon arm through mflux),
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linear probes on newer frozen backbones for `classify`, Resemble Perth and
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Meta PixelSeal as benchmark oracles, re-watermarking as a removal primitive
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@@ -247,3 +247,38 @@ None of these is a result on a production closed watermark.
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Invisible removal in this package regenerates through `qwen-zimage` or
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`sdxl-zimage`. It is lossy. There is no shipped pixel-only OpenAI or
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Google SynthID wipe. Do not add Bayer or geometry as remover arms.
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### Color restoration after regeneration (2026-09-27)
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The NeurIPS 2024 "Erasing the Invisible" winner
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([arXiv:2508.21072](https://arxiv.org/abs/2508.21072)) restores color after
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its beige-box VAE attack in CIELAB: the output's `L` is moment-matched to the
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watermarked source and the source's `a,b` replace the output's. It was tested
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as post-processing on the shipped `qwen-zimage` profile at its vendor floors
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(OpenAI 0.15625, Google 0.35, seed 0) over the seven tracked originals in
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`data/synthid/full-pipeline-quality.csv`. Arms: `L` (moment-matched `L`,
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output `a,b`) and `AB` (output `L`, source `a,b`).
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- `L` changed nothing measurable: the regeneration does not shift global
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lightness at these strengths.
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- `AB` lowered mean CIEDE2000 on all seven (OpenAI 3.1-3.6 to 1.9-2.2, Google
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6.0-8.6 to 4.5-6.4) and LPIPS by 5-19%.
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- Official OpenAI API: all three base and all three `AB` outputs
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`not_detected`.
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- Gemini: all four base outputs were settled "no SynthID" answers; the four
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`AB` outputs gave one settled "no SynthID", two "couldn't confirm" answers
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(one naming an inconclusive tool result, "edits that are too subtle or
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small to detect") and one empty `[source: 2]` answer. Recorded as one
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`not_detected` and three `indeterminate`; no row was retried.
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- At 0.35 the regeneration redraws objects, and transplanted source chroma
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paints the old objects' colors onto the new ones as visible ghosts.
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Not shipped. Source chroma is not a safe channel for Google's mark. The
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Y/Cb/Cr scramble splits above placed OpenAI's mark in luma; for Google either
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the decoder reads more than luma or the Lab-to-RGB conversion carries source
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structure back into it, and these arms do not separate the two. A
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structure-gated transplant restricted to OpenAI is
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the only arm left open, and its gain would be color fidelity at a floor that
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already clears with margin. Hash-bound batch and verdicts:
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`.local-eval/color-restoration-2026-09-27/` (`run/report.json`,
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`variants.json`, `oracle/`, `gemini-batch/`).
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