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RESEARCH RECORD

Reasoning models struggle to control their chains of thought, and that’s good

Tomek Korbak · Micah Carroll · Bowen Baker · Ian Kivlichan · openai

Original publication ↗ · BibTeX · RIS

Tested models show low controllability; more reasoning and some RL training reduce it.

Research question

Can reasoning models deliberately shape the traces used for oversight?

Design & assumptions

CoT-Control pairs existing benchmark tasks with instructions constraining reasoning text; compares scale and reasoning budgets.

Findings

Tested models show low controllability; more reasoning and some RL training reduce it.

Limits & counterevidence

Instruction-following is a proxy for deliberate monitor evasion; low controllability alone cannot establish monitorability.

Source evidence

No structured numerical extraction is available in this reading package.

Reading scope & review

Selected original webpage sections; linked paper, appendix and data not fully audited.

Model-assisted reading; independent evidence review pending.

Check the original source ↗