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Safety Invariance in Stochastic AI Moderation Pipelines: A Physics-Informed Empirical Study
Safe reinforcement learning, physics-informed machine learning, forward invariance, safety-critical control, reflected stochastic dynamics, constraint enforcement, Control Barrier Functions, empirical validation
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