Sign inGet started
Paper · arXiv

Stream Recursion Model (SRM)

Mechanistic interpretability seeks to make verifiable statements about the internal behavior of large language models (LLMs). Many interpretability techniques struggle to scale with the increasing size and depth of architectures. Our solution to this is to introduce smaller models with structures that lend themselves to interpretability. In this work, we introduce the Stream Recursion Model (SRM), a modification of the Hierarchical Reasoning Model (HRM) designed to expose internal computational structure while remaining scalable. SRM organizes computation into multiple interacting latent streams that are updated through recursive refinement, enabling direct analysis of stream dynamics, ca...

AuthorsAsael Sorensen, Charles Brock, David Chamberlain et al.
Primary categorycs.LG
Published23 September 2026
Last updated at source23 September 2026
cs.LG
Embed this entry
<iframe src="https://silytics.si/embed/item/c846ca4f-6287-4fd2-b3c0-a3f4e0aac6b0" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.