The work defines a Selective-Exclusion handoff contract for hierarchical L2D, proves nodewise Bayes rules can be incoherent, and supplies exact dynamic-programming projection and TBP+RPO that drive incoherence to near zero on medical benchmarks.
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Coherent Hierarchical Multi-Label Learning to Defer for Medical Imaging
The work defines a Selective-Exclusion handoff contract for hierarchical L2D, proves nodewise Bayes rules can be incoherent, and supplies exact dynamic-programming projection and TBP+RPO that drive incoherence to near zero on medical benchmarks.