Matrix spillover quantification represents a crucial challenge in advanced learning. AI-driven approaches offer a novel solution by leveraging powerful algorithms to assess the magnitude of spillover effects between separate matrix elements. This process boosts our insights of how information transmits within neural networks, leading to more model