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Core recurrence

Decoding Huginn's Latent CoT

Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer

Wenquan Lu, Yuechuan Yang, Kyle Lee, Yanshu Li, Enqi Liu

Probes Huginn-3.5B on arithmetic with the Logit Lens and Coda Lens to see whether interpretable latent chain-of-thought emerges across recurrent blocks.

Inside the method

Prelude → [ Core ] × r (probed each step) → Coda

Simplified conceptual schematic. Consult the paper for the complete architecture.

Recurrence family
Core recurrence
Depth control
Analysis
KV / state strategy
See paper

Reading note

Finds limited evidence of interpretable latent CoT and inconsistent probing across blocks; more recurrence gives only marginal gains, well short of explicit CoT on these tasks.

Sources checked 2026-10-28. This catalog does not imply independent reproduction.

Related works

Cite this work

@misc{huginnlatentcot2025,
  title = {Latent Chain-of-Thought? Decoding the Depth-Recurrent Transformer},
  author = {Wenquan Lu and Yuechuan Yang and Kyle Lee and Yanshu Li and Enqi Liu},
  year = {2025},
  eprint = {2507.02199},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2507.02199}
}

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