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