Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to analyze the level of spillover effects between separate matrix elements. This process boosts our insights of how information propagates within computational networks, leading to i