Matrix spillover quantification represents a crucial challenge in complex learning. AI-driven approaches offer a promising solution by leveraging powerful algorithms to assess the extent of spillover effects between distinct matrix elements. This process improves our insights of how information flows within mathematical networks, leading to more mo