Neural Information Causality: A Random-Access Capacity Law for Representation Learning.

arXiv:2605.09316v2 Announce Type: replace-cross Abstract: How can a learned representation remain useful when the question it must answer is chosen only after encoding? Preserving information is essential, but does not by itself ensure access to the requested