ProbabilisticClosure

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Contents

• Actual stopping, zero replay, and exact tails
• Support, actual improving policies, and true expectation boundaries
• Conull Image Probability Isomorphism
• Distribution-Independent Closure
• Native tests and finite joint masses
• Finite Marginal Global Readout Contrast
• Finite Pairwise Global Classifier
• Graph, Mechanism, and Law Separation
• Integer Recovery And Structure Separation
• Intervention-Family Transcript Obstruction
• Statistical Kernel Transcript Invariance
• Pointwise and Probability Knowledge Separation
• Finite atom upper bounds
• Recursive joint residuals and adaptive transcripts
• Internally maintained finite memory and the fixed-prior optimum
• Single-Sample Law Nonimplication
• Strong Lumpability Descent
• TrajectoryLaws
• Transitive Invariant Distribution