Threshold Collapse
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Neural Collapse Dynamics: Depth, Activation, Regularisation, and Feature Norm Threshold
arXiv:2604.00230v2 Announce Type: replace Abstract: Neural collapse (NC) -- the convergence of penultimate-layer features to a simplex equiangular tight frame -- is well understood at equilibrium, but the dynamics governing its onset remain poorly characterised. We identify a simple and predictive regularity: NC occurs when the mean feature norm reaches a model-dataset-specific critical value, fn*, that is largely invariant to training conditions. This value concentrates tightly within each...
Late-Time Cosmology and Structure Formation in Quadratic $f(Q)$ Gravity
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TextFake: Benchmarking AI-Generated Image Detection on Text-Rich Images
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Mysterious 'cold blob' in the Atlantic is a sign of the Gulf Stream weakening — and that's bad news for the US East Coast
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Anomalous Enhancement of Yield Strength due to Static Friction
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Zero-Copy Semantic Contagion: An In-Memory Streaming Architecture for Evolving Attention Graphs
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Harnessing Eversion Buckling for Ideal Omnidirectional Energy Absorption
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I never knew if I wanted to be a mother – then breast cancer made it an urgent decision
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$M^3$ Scaling Law: Optimizing Multi-Epoch, Multi-Lingual, and Multi-Stage Training for Low-Resource Language Models
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