Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging cutting-edge algorithms to interpret the level of spillover effects between different matrix elements. This process boosts our knowledge of how information propagates within computational networks, leading to be