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Run two parallel KNN analyses per dataset: 1. State-based: KNN in joint-state space 2. Image-based: KNN in SigLIP embedding space (google/siglip-base-patch16-224) Both measure action chunk variance among cross-episode neighbors. Comparing them reveals whether visual and proprioceptive similarity agree on where data is inconsistent. Output is a 4-row figure: state histogram, image histogram, overlaid per-episode curves, and spatial heatmap colored by image-based variance. Made-with: Cursor