Behavioral Inertia in LLMs
How contextual provenance, model-generated demonstrations, and persistent conversation history affect long-term behavioral stability and drift. An investigation of when self-generated context reinforces a user commitment—and when it begins to displace it.
Research in progress · no public codebase