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Research2026-08-17 · source-backed
Standard evaluation of frozen-embedding style classification uses random splits where works by the same artist appear on both sides (arXiv 2608.14435). Under an artist-disjoint protocol on 320 paintings across four twentieth-century movements, 5-NN accuracy falls ten points, and unevenly: Impressionism and Cubism barely move, Surrealism drops twenty. The pattern holds across four encoders including a vision-only self-supervised model, placing the effect in visual structure rather than language. A clean template for leakage-by-entity in any embedding benchmark.
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