SOURCE-LINKED INTELLIGENCE
Calibration Count Reuse: Validity Does Not Determine Efficiency
Calibration count reuse raises separate validity and efficiency questions. We give a validity criterion for general count-dependent nonconformity scores: transferring one count from another class to the scored class must not improve its conformity. A leave-self-out full conformal reference proves the criterion without requiring normalization or preservation of same-class score order. For a common separable transformation, universal exchangeable validity is equivalent to being nondecreasing in the count, provided $Kα\geq 1$; normalized multiplicative weights obey the complementary nonincreasing
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- arXiv · AI, language, vision and robotics · 2026-09-21T04:58:08.000Z
First collected: 2026-09-23T08:01:43.213Z. This is not the publication date.