Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to interpret the magnitude of spillover effects between separate matrix elements. This process enhances our knowledge of how information propagates within computational networks, lead