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Recursive reasoning models lack a principled inference mechanism for test-time scaling. This model uses energy guidance to improve recursive reasoning, but its real-world impact is unclear. If it works, it could change how we scale neural networks for complex tasks.
“arXiv:2607.10128v2 Announce Type: replace Abstract: Recursive reasoning models address structured problems by repeatedly updating latent states of small neural networks. However, their test-time scaling lacks a principled inference mechanis…”
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Energy-guided Recursive Model, arXiv
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LAST OBSERVED
Aug 7, 2026