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