Rethinking Incompleteness: Formalizing Protocol Divergence and Train-Once Learning for Robust IMVC

Standard IMVC evaluation retrains separate models for different missing-data configurations. We show that this paradigm obscures a fundamental vulnerability: missing rate alone is insufficient to characterize data incompleteness. Specifically, we show that protocols with identical nominal missing ra...