Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a novel solution by leveraging powerful algorithms to analyze the extent of spillover effects between different matrix elements. This process boosts our insights of how information flows within neural networks, leading to more model performan