One Model to Loop Them All: Elastic Latent Recurrence for Language Models
Trains one language model to operate at different loop counts by mixing depths during training and conditioning each pass on its index and budget. A learned gate controls each recurrent update.
First public: · Added to this list: October 18, 2026
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arXiv:2610.12582 · Initial submission: 2026-10-08
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Recurrent reasoning — Repeat parts of the model or keep intermediate information in memory while working through a problem. Some methods also learn how many passes to run.
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