Too Sharp, Too Sure: When Calibration Follows Curvature

ArXi:2604.20614v1 Announce Type: new Modern neural networks can achieve high accuracy while remaining poorly calibrated, producing confidence estimates that do not match empirical correctness. Yet calibration is often treated as a post-hoc attribute. We take a different perspective: we study calibration as a