Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a innovative solution by leveraging powerful algorithms to interpret the extent of spillover effects between distinct matrix elements. This process improves our understanding of how information propagates within neural networks, leading t