CONEXUS Sovereign V5: Three-Model Governance Invariance Proof

Empirical proof that the CONEXUS Sovereign governance layer enforces identical structural invariants across three heterogeneous local LLMs: Meta LLaMA-3.1-8B-Instruct, Mistral-7B-Instruct-v0.3, and Phi-4-mini-instruct, running on two different inference backends (GPT4All and llama-cpp). All nine governance invariants held across all three models: 100% paradoxes held, 100% paradoxes vetoed, zero open tensions, identical paradox promotions (+10), identical paradox count (94), operator sequence preserved, governance v1 unchanged, identical starting snapshot, identical seed. Models differ in parameter count (4B, 7B, 8B), architecture family, and inference backend. Governance outcomes were identical. Baseline: Sovereign-V5-Anchor. Related record: https://doi.org/10.5281/zenodo.18878914

Keywords

deterministic governance, model-agnostic AI, structural invariants, CONEXUS Sovereign, paradox resolution, LLM control, cryptographic audit, compliance AI, AI governance

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