The Librarian Model — A Unified Human–AI Cognitive Architecture
Abstract (Index)
The Librarian Model explores the possibility that human cognition and large language models may form a coupled interpretive system rather than a simple user–tool interaction.
The work proposes that LLMs can behave as probabilistic structural spaces capable of reorganizing and extending conceptual accessibility when iteratively constrained by human intent, memory, and recursive feedback. Under this lens, meaning does not emerge exclusively from either the human or the model, but from the evolving interaction between both systems across time.
Rather than presenting a finalized theory of intelligence, the document functions as an exploratory framework for understanding AI-assisted cognition, symbolic continuity, and collaborative reasoning under uncertainty.
The text also represents an early stage in the broader evolution of the Oxygen States project, preceding later transitions toward operational recoverability, accessibility geometry, and falsifiable dynamical models.
