Reasoning trajectories map the step-by-step thought process behind decisions, often used in AI and cognitive science to trace logic from input to conclusion. Researchers and developers benefit by debugging model errors, while educators use them to teach critical thinking. This technique enhances transparency, making complex reasoning more understandable and actionable.
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