Matrix spillover detection plays a vital role in safeguarding the integrity of large language models (LLMs). Recent advancements in artificial intelligence have opened new avenues for efficiently identifying matrix spillover, a phenomenon where information from one different matrices of a model transmits. AI-driven approaches leverage sophisticated