Matrix spillover quantification evaluates 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 understanding of how information transmits within neural networks, lead