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