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