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• 论文公开站arXiv2026年10月6日 10:14

  Towards Looped Models Done Right, Part II: Rethinking at Fixed Points

  Every recurrence of a looped language model adds cost in training, decoding, prefill, and reinforcement learning (RL). The closer recurrent states get to fixed points, the less the path to them matters. This enables truncated backpropagation in training; terminal key-value (KV) s

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