arxivcs.LGcs.AI2026-07-11
Adaptive Compute in Latent World Models: When Depth Helps, Hurts, or Doesn't Matter
Adaptive compute for world models -- early-exit or mixture-of-depths predictors that spend variable depth per rollout step -- presumes that extra depth buys better predictions. In autoregressive rollouts, where planning actually happens, that premise requires depth's per-step pre…