"Universal, assumption-free OOD completeness is off the table in principle, rather than merely awaiting better detectors."
Zhang and colleagues prove that no OOD detection method can guarantee better-than-chance discrimination against every possible alternative distribution without assumptions about which alternatives are relevant. The result applies beyond deep generative models and provides direct mathematical support for the manuscript's central conclusion about the limits of universal, assumption-free detection.
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