Adjoint Inversion Reveals Holographic Superposition and Destructive Interference in CNN Classifiers

How do CNN channels combine scene information into a class-specific response? We develop an input-conditioned adjoint inversion framework that renders individual channels and their combinations in pixel space. Lightweight Local Adjoint Correctors (LACs) calibrate backward signals through a frozen en