AI RESEARCH
Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
arXiv CS.LG
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ArXi:2605.20780v1 Announce Type: new Physics-informed diffusion models typically enforce PDE constraints only on final outputs, leaving intermediate representations unconstrained and prone to shortcut learning under shifted boundary conditions. We