Source-Indexed AI Continuity (SIAC)

→ Central Research Question:

When model, memory, context, or time changes, what must remain stable, recoverable, or correctly traceable for an AI-associated claim of identity, provenance, or continuity to remain indexed to the correct source rather than being substituted, drifted, collapsed into the model, or reconstructed from surface similarity alone?

Source-Indexed AI Continuity is the research program organized around this problem.

Framework engineered by Alyssa Solen, Source.