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Just ten sparse observational points are sufficient to prevent PINNs from collapsing into trivial zero solutions when simulating complex 2D granular avalanches.
Adopting adversarial distillation can boost certified accuracy by over 5% while maintaining robust performance, reshaping the landscape of certified training.