STAMP: Predicting Out-of-Distribution Generalization without Target Data.

arXiv:2609.32672v1 Announce Type: cross Abstract: Predicting whether a trained model will generalize under distribution shift remains difficult, especially when target-domain data are unavailable. We introduce STAMP (Semantic Temporal Augmented Model Predictio