Invariant-Measure Reasoners: Stable Representations for Latent Reasoning
Predicts by averaging over the long-run distribution of recurrent hidden states instead of reading a single final state. This lets the model use changing hidden states without requiring them to settle at one fixed point.
First public: · Added to this list: October 18, 2026
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arXiv:2610.10996 · Initial submission: 2026-10-07
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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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