Matrix spillover detection is a crucial in ensuring the integrity of large language models (LLMs). Recent advancements in artificial intelligence have paved the way for efficiently identifying matrix spillover, a phenomenon where data within different matrices of a model transmits. AI-driven algorithms leverage sophisticated techniques to evaluate