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Neural quantum states no longer require expensive per-point re-optimization across potential energy surfaces: an orbital-aligned autoregressive prior generalizes zero-shot to unseen molecular geometries with chemical accuracy and a $986\times$ per-geometry speedup.
ClusterMixer reveals that a transparent, hyperbolic clustering approach can significantly outperform traditional opaque token mixers in vision tasks.