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Reasoning Models Struggle to Control their Chains of Thought research paper by OpenAI, 2026

OpenAI · Reasoning · Mar 5, 2026 · 37 citations · 41 upvotes · unverified

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What it shows

Chain-of-thought controllability measures how effectively models can be constrained to follow reasoning steps, with findings showing significantly lower controllability in reasoning versus output generation, and varying impacts from model size, training methods, and task complexity.

By Chen Yueh-Han, Robert McCarthy, Bruce W. Lee and 5 more · arXiv 2603.05706 · PDF · Code

UnverifiedHugging Face's summary; not yet checked by hand.

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About this paper
Venue
arXiv.org
Citations
37, 2 influential · Semantic Scholar
Upvotes
41 · Hugging Face
Lab
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Changes

CitationsNov 9, 2026Citations rose from 34 to 37.
CitationsNov 2, 2026Citations rose from 27 to 34.
CitationsOct 12, 2026Citations rose from 25 to 27.
CitationsOct 5, 2026Citations rose from 21 to 25.
CitationsSep 25, 2026A first count of 2 influential citations.
CitationsSep 25, 2026A first count of 21 citations.
New paperSep 25, 2026Found by the weekly Hugging Face scan; not yet checked by hand.