# SanSi: A Looped Typed Decision Model for System 1.5 Thinking

Authors: Shuyu Gan, Young-Jun Lee, Dongyeop Kang.

Refines an internal state across loops to choose among typed answer options without generating a written reasoning trace. Supervises decisions at multiple depths and evaluates how prediction quality changes with the available computation budget.

First public: 2026-10-06.
ArXiv initial submission: 2026-10-06.

[Original paper](https://arxiv.org/abs/2610.07730) · [Reading-list entry](https://latent-implicit-thinking.github.io/papers/2610.07730/)
[Preprint BibTeX](https://latent-implicit-thinking.github.io/papers/2610.07730/citation.bib) · [Preprint CSL-JSON](https://latent-implicit-thinking.github.io/papers/2610.07730/citation.csl.json) · [JSON record](https://latent-implicit-thinking.github.io/papers/2610.07730/record.json)

## Approaches

- [Recurrent reasoning](https://latent-implicit-thinking.github.io/topics/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.

Summary and categories are editorial. Read the original paper to verify claims and limitations. A citation to a paper does not, by itself, establish that a later method builds on it.

Reading-list version 0.9.5; literature checked through 2026-10-18.