Diagnosing Generalization Boundaries in AI-Based Vulnerability Detection via Calibrated Embedding Distances

Konstantin Ievtushenko, Ralf Lämmel, Jan Jürjens

High benchmark scores in learning-based vulnerability detection mask severe degradation under distribution shifts. This paper demonstrates that calibrated embedding geometry expose…