Behavior Forecasters Predict LRM Outputs From Single Trajectories Without Explanations

Rather than explaining large reasoning model behavior, Behavior Forecasters are trained to directly predict model outputs from a single reasoning trajectory, with training data generated by querying the LRM with no human annotation. This sidesteps the faithfulness problem of natural-language chain-of-thought explanations for long multi-step trajectories.