This document formalizes the role of authorship and provenance in stabilizing learned representations and attribution within large language models. It operates as a supporting theorem to the AI Visibility Canonical Definition and explains why consistent authorship association strengthens retention and recall, while indeterminate provenance degrades both independent of authority or scale.