"Universal OOD learnability cannot be guaranteed without appropriate conditions on the detection problem."
Fang and colleagues derive impossibility theorems for OOD learnability under specified distribution-free settings and identify conditions that make detection learnable in more restricted practical scenarios. Their independent theoretical treatment reinforces the manuscript's conclusion that better algorithms cannot eliminate every fundamental limitation of unrestricted OOD detection.
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