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