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