Researchers introduced a paired benchmark to measure outcome-conditioned shifts in clinical temporal reasoning. Full tim...

Researchers introduced a paired benchmark to measure outcome-conditioned shifts in clinical temporal reasoning. Full timeline exposure produces hindsight-sensitive shifts across models, while temporal masking reduces bias without lowering accuracy.Source: arXiv cs.CLhttps://arxiv.org/abs/2609.13454#MachineLearning