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This paper introduces the Proper Scoring Ensemble Filter (PSEF), a transformer-based method for Bayesian filtering that trains an analysis map using strictly proper scoring rules on synthetic state-observation trajectories. It demonstrates superior performance in nonlinear, non-Gaussian filtering tasks compared to classical and learning-based methods.