“Fractal basins trap latent reasoning” Why do reasoning models sometimes spend dramatically longer on harder problems? This paper shows that latent reasoning can exhibit transient chaos. Hard problems create fractal basins where tiny changes in the initial latent state send reasoning down wildly different trajectories and convergence times. The key mechanism is that models get temporarily trapped near unstable saddle points corresponding to nearly-correct solutions, like dead ends in mazes…