Broader Real-World Validation

Background: A novel model’s generalizability needs to be confirmed through rigorous testing across a wide array of real-world applications beyond initial validation sets.

Question / Future Work: Broader validation of the Physics-Spatiotemporal Masked Autoencoder (P-STMAE) across diverse real-world datasets is essential to fully establish its generalizability and robustness in various scientific and industrial forecasting domains.