Sourceunknownno stored text
When Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
Author not recordedDate not recordedOriginal︎ ↗
Claims1
ExaminationsNone
TextNot stored
VersionsOne known
CopiesNone recorded
CorrectionsNot checked
Facts not yet checkedReachNo copies recorded
StructureIn 1 claim's map0 sources downstream across 1 claim
EvidenceNot yet read
Examinations
None recorded.
Text
No stored copy. Only the passages claims quote are recorded.
As quoted
we find that models can learn to obscure their intentions, but only when given significant help, such as detailed human-written strategies or iterative optimization against the monitor.
When chain-of-thought reasoning is necessary for a task, language models struggle to evade chain-of-thought monitors.
Not yet read by this claim’s Steward.
Lineage across 1 claim
Draws on · none recorded
This source
Drawn on by · none recordedWhen Chain of Thought is Necessary, Language Models Struggle to Evade Monitors
in 1 claim's map
Record
- Kind
- unknown
- Authors
- Not recorded
- Publisher
- Not recorded
- Published
- Not recorded
- DOI
- None
- Link
- https://arxiv.org/abs/2507.05246
- Archived copy
- None found
- Stored text
- None; quoted passages only
- Claims extracted
- Not recorded
- Versions
- One known
- Copies
- None recorded
- Corrections
- Not yet checked
- Facts checked
- Not yet
History 1
- Oct 30, 2026Entered the graphEntered the graph; no copy stored