The paper argues that reference in large language models is not a fixed link but a profile-based, context-sensitive, and numerically structured phenomenon. It proposes that LLMs ground reference through linguistic traces parameterized via optimization, with referential profiles distributed and activated through context-sensitive computation, supported by mechanistic interpretability findings.