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Information-Geometric First-Passage Monitoring of Distributional Stability in Stochastic Systems
Runtime monitoring of stochastic systems must distinguish nominal distributional relaxation from regime departure while controlling repeated-test false alarms under explicit validity assumptions. This paper links relative-entropy dissipation, information geometry, and sequential inference in a bound
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