Matrix spillover quantification evaluates 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 separate matrix elements. This process enhances our insights of how information propagates within neural networks, leading to improved