SLAM: Structural Linguistic Activation Marking for Language Models

SLAM (Structural Linguistic Activation Marking) is a novel white-box watermarking scheme for LLMs that embeds the mark into structural geometry rather than token frequencies. It achieves 100% detection accuracy with minimal quality loss, outperforming existing schemes.