Matrix spillover quantification represents a crucial challenge in deep learning. AI-driven approaches offer a promising solution by leveraging sophisticated algorithms to analyze the extent of spillover effects between different matrix elements. This process enhances our knowledge of how information propagates within neural networks, leading to mor