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