
Trace Length as LLM Uncertainty Signal
Apple researchers demonstrate that reasoning trace length serves as a simple, effective confidence estimator in large reasoning models. It performs comparably to verbalized confidence across models, datasets, and prompts, acting complementarily. The work shows reasoning post-training alters the trace-confidence relationship.




