Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers
arXiv:2604.27529v1 Announce Type: new
Abstract: A foundational assumption in CNN interpretability — that deep encoders suppress background pixels while classifiers merely select from a cleaned feature pool (the Spatial Funnel Hypothesis) — remains u…