A reasoning trace is a step-by-step record of an AI model's internal logic as it solves a problem. It captures the intermediate thoughts, calculations, and decisions leading to a final answer. Developers use traces to debug models, while researchers analyze them to improve accuracy and transparency. Users benefit from clearer, more reliable AI outputs.
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