Skip to main content

Latent Chain-of-Thought as Planning: Decoupling Reasoning from Verbalization

Jiecong Wang, Hao Peng, Zhanyi Wang, Chunyang Liu, Guanlin Wu

Separates an internal planning process from verbalization and studies whether the latent plan supports effective downstream reasoning.

First public:

Cite this paper

ArXiv preprint

arXiv:2601.21358 · Initial submission: 2026-01-29

BibTeX · CSL-JSON

A published-version citation has not been verified for this entry. This does not mean the paper is unpublished.

Choose the version you used. The arXiv link may serve a revision; check the original paper for the exact result, assumptions and limitations you cite.

Explore this approach

Continuous-state reasoning — Use vectors—lists of numbers—to carry intermediate reasoning from one step to the next, instead of selecting a text token at every step. Some methods use the model's hidden states; others combine several candidate token representations.

Read or reuse this entry

Plain-text Markdown · JSON record · Find in the full list

Our summary and categories are a reading aid, not the authors’ abstract. Use the original paper for research claims. Suggest a correction.