ORACLE: Optimizer-Relative Alignment for Constrained LEarning

ORACLE introduces optimizer-relative constrained learning by evaluating constraint compatibility after an optimizer update to align its geometry. This method improves or matches native optimizers in 94% of configurations across eight PDE benchmarks, demonstrating a way to ensure decision-preserving interfaces between optimizers and constraints.

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