Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a innovative solution by leveraging sophisticated algorithms to interpret the level of spillover effects between different matrix elements. This process boosts our insights of how information propagates within neural networks, leading to