Reasoning Traces

Topic

Reasoning traces are step-by-step sequences of intermediate thoughts, logic, or actions generated by artificial intelligence models to solve complex problems. They allow large language models to decompose difficult tasks into manageable steps, revise earlier assumptions, and provide a transparent, interpretable path to their final answers. These traces are widely used in chain-of-thought prompting, reinforcement learning, and the distillation of smaller, specialized reasoning models.