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Tadpole introduces a foundation model for 3D PDEs, pre-trained as an autoencoder via efficient online data generation, enabling large-scale diverse training without storage overhead. It demonstrates strong fine-tuning performance for dynamics learning and generative modeling across heterogeneous physical systems.