Reconstructive Mode Induction (RMI): A Conceptual Reconstruction Protocol for LLM Instability

Reconstructive Mode Induction (RMI) is a conceptual protocol designed to diagnose, isolate, reconstruct, and stabilize unstable interactions with large language models (LLMs). It addresses drift, context loss, semantic fading, memory collisions, and injection-related instability.RMI is not a tool or software component; it is a strictly interaction-level reconstruction protocol, grounded in the theoretical foundations of the Hybrid Evolution Series. The protocol is model-agnostic and implementation-independent and can be applied in research, security, red teaming, and long-form co-authoring workflows.