Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to interpret the level of spillover effects between distinct matrix elements. This process boosts our understanding of how information propagates within mathematical networks, leading to