Latent Reasoning with Normalizing Flows

arXiv·medium signal

This work argues textual chain-of-thought forces intermediate computation through a discrete, serial token stream even when the underlying update is semantic or only partially formed. It proposes latent reasoning via normalizing flows as a higher-bandwidth alternative that performs intermediate computation in continuous latent space. A step toward reasoning that isn't bottlenecked by verbalization.