Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to assess the magnitude of spillover effects between separate matrix elements. This process improves our knowledge of how information flows within neural networks, leading to more mo