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Achieving 100x parameter efficiency, LoopWM redefines how we approach long-horizon world modeling by introducing iterative latent depth as a new scaling axis.
LLMs can develop more consistent world models by predicting multiple tokens *and* anchoring those predictions to ground-truth hidden state trajectories, mitigating structural hallucinations.
