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