Matrix spillover quantification evaluates a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to interpret the level of spillover effects between different matrix elements. This process improves our insights of how information propagates within mathematical networks, leading to imp