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Victor KuznetsovandClaude Opus 5
9a29dcac8a
`scripts/ai_score.py` and the dataset scanner that fed it are gone: the detector they trained is not something this project runs, and the corpus lived outside the repository anyway. Nothing else referenced them. The scanner's pixel layer was worth keeping, so it moves into the package as `pixel_evidence.py` -- six families of scale-robust statistics (block-DCT histograms and Benford deviation, FFT band energies and CFA peaks, high-pass residual, error level, gradient, colour) measured in a single shared decode. The arithmetic was verified against the scanner over 60 corpus images, families and artifacts alike, before the scanner was removed; that comparison is no longer possible, which is why the tests now pin behavior instead: determinism, empty-not-wrong on images too small for a family, and one failing family not taking the others with it. It has no consumer. Nothing in the package reads it, and the module says so. `artifacts=True` returns the spatial layer -- perceptual hash, 128px thumbnail, coarse ELA/residual/phase maps. Those identify the source image rather than describe it, so they are opt-in and separate: everything else is a scalar or a fixed-length histogram nothing can be reconstructed from. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>