
The Consciousness Substrate Model (CSM) presents a minimal,structural framework for autonomous forms requiring internalcoherence, contextual awareness, and continuity across regimetransitions. Rather than modeling cognition or subjective experience,CSM defines a substrate composed of irreducible primitivesand bounded resonance cores that inform, but do not control,autonomous operation. The model introduces Wrapped Resonance Structural AwareDimensional Cores (WR‑SADC) as non‑intrusive internal structuresthat preserve validity and coherence under changing conditions. CSM is implementation‑agnostic, non‑anthropomorphic,and compatible with existing control, learning, and planningsystems. It is intended as a reproducible foundation forresearch and engineering of autonomous systems wheredrift‑resilience and regime awareness are critical. This work is aligned with Resonance‑Time Theory (RTT)and the Resonance Substrate Model (RSM), while remainingself‑contained and independently evaluable.
drift resilience, non‑anthropomorphic models, autonomous systems, resonance, adaptive architectures, system coherence, AI safety, internal substrate, regime transitions, structural awareness
drift resilience, non‑anthropomorphic models, autonomous systems, resonance, adaptive architectures, system coherence, AI safety, internal substrate, regime transitions, structural awareness
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