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Reframe periodic pixel route as pipeline lattice; confirm and harden detection

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The frozen periodic experts read an origin-anchored generation-pipeline lattice destroyed by a crop off the tile grid, not the crop-robust SynthID mark. Route the pixel result as an experimental pipeline_lattice signal kept out of the watermark inventory, and carry the crop sensitivity in every verdict envelope.

Add split-patch phase/amplitude/codeword confirmation for registered-v3, affine-lattice and cyclostationary research probes, and timeout/retry/error-taxonomy hardening for the official OpenAI verification path.
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Victor Kuznetsov
2026-08-16 21:53:37 -07:00
parent 2d018d32ab
commit 8eb9c06265
18 changed files with 3912 additions and 102 deletions
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scripts/synthid_runtime_expert_scores.py
+1 -1
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@@ -61,7 +61,7 @@ def score_pixels(pixels: NDArray[np.uint8]) -> list[ExpertScore]:
if pixels.ndim != 3 or pixels.shape[2] != 3 or pixels.dtype != np.uint8:
raise ValueError("pixels must be an RGB uint8 array")
bgr_pixels = np.ascontiguousarray(pixels[:, :, ::-1])
native = synthid_detector.detect_synthid("decoded-image", image=bgr_pixels)
native = synthid_detector.detect_synthid("decoded-image", image=bgr_pixels, register_scale=False)
registered = synthid_detector.detect_synthid("decoded-image", image=bgr_pixels, register_scale=True)
fixed = _observation(FIXED_EXPERT_NAME, False, None)
large = _observation(LARGE_EXPERT_NAME, False, None)