Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a promising solution by leveraging cutting-edge algorithms to interpret the extent of spillover effects between different matrix elements. This process boosts our insights of how information flows within mathematical networks, leading to