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FAER: Auditable Utility-Aligned Trajectory Replay for Language Model Post-Training
Replay selectors often rank cached trajectories by format feedback, confidence, freshness, or response length, although cache-level correctness and downstream learner utility are distinct objectives. We formalize this selection-to-learning gap and introduce FAER as an auditable full-trajectory repla
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