Skip to main content

StateLoop: Persistent State for Looped Transformers

Feichen Song, Boyi Zeng, He Li, Shixiang Song, Yiqin Hao, Zitong Wang, Yizhou Yang, Yifan Liu, Ziwei He, Zhouhan Lin

Gives each token a persistent state alongside the output of a shared transformer backbone. Learned gates control what the state retains across loops, and separate readouts feed it into later loops and the final prediction.

First public: · Added to this list: November 2, 2026

Cite this paper

ArXiv preprint

arXiv:2610.35544 · Initial submission: 2026-10-26

BibTeX · CSL-JSON

Explore this approach

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.