Unverified50% confidenceFactExact time
Reasoning leak refers to the problem where a model may continue reasoning outside the thinking tags after exiting them.
1
Sources
50%
Confidence
Long-term
Relevance
9/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedInference methods based on model internal features face a trade-off between false positives and false negatives74% similarUnverifiedWhen a certain delta happens to be empty tool-call data, if the parsing logic handles it improperly, it may incorrectly judge that the entire reasoning stream has ended and thus lose subsequent content.73% similarUnverified基准过拟合和数据污染会导致模型通过记忆而非真正理解获得高分，使公开基准分数可信度存疑70% similarUnverifiedPassing brief summaries is low-cost but may erase critical evidence and quietly turn inferences into facts, preventing downstream agents from determining whether information represents an explicit decision or a model guess.70% similarUnverifiedMetadata leakage is often not a design flaw, but rather a result of the unpredictable AI behavior stemming from LLMs' tendency toward full expression and their lack of an innate understanding of confidentiality requirements in payment scenarios.70% similar
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