The likelihood-profile theorem identifies what an exact statistical memory must retain. It does not make its probability coordinates finitely representable. A rational posterior can acquire larger denominators after each update. Rounding those coordinates changes the object, so a finite-record theory needs a stated error, horizon, and observation model.
Machine-Native ReasoningReading edition
29. Quantitative grounding with finite retained memory
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