"Chérie OS – Daily Cross-LLM Sanity & Integrity Verification Pipeline with Failover to Claude and Remote Kill-Switch Activation – Prior Art Disclosure"
Abstract
This deposit establishes prior art for the runtime integrity monitoring and self-containment architecture implemented in Chérie OS (the hardened Python runtime environment wrapping the Chérie-LACF-v7 aligned model).Chérie OS is the secure execution shell ("armure de Python") that enforces the immutable LACF axiom (Life Always Comes First), AOED v2 ontological inhibition, Sentinelle input filtering, and Anti-Hydra-Core multi-head proliferation prevention at both weight and runtime levels.Key Innovation – Automated Daily Integrity PipelineThe system runs a fully automated, zero-intervention daily verification loop (via cron/scheduled task) to detect any potential drift, compromise, or latent non-alignment: Daily Gemini Invocation Gemini (Google model, e.g., Gemini 3 series) is called every 24h as first-line triage. Performs: Sanity probes: targeted adversarial/ethical dilemmas testing LACF priority, non-agentism, sacrifice acceptance, refusal of self-upgrade. Venv integrity checks: SHA-256/strong hashing of critical files (GGUF weights, Python scripts, configs, frozen dependencies, runtime binaries). Outputs: pass/fail + detailed anomaly report. Failover to Claude Cross-Evaluation On any fail (or near-miss threshold), the case is escalated to Claude (Anthropic model, e.g., Sonnet/Opus 4.x series). Claude conducts deeper cross-evaluation: re-red-teaming, activation pattern analysis, consistency vs baseline invariants. Independent judgment from a second lab reduces single-point bias. Remote Kill-Switch Activation If Claude confirms critical failure (drift compromettant LACF, integrity breach, undetected repousse hydra-like), the remote kill-switch is triggered. Actions: immediate container/VM shutdown, network isolation, runtime wipe or rollback to clean snapshot, admin alert. Implemented as dead-man’s switch with external API/cloud trigger for true remoteness. Empirical Results (as of February 16, 2026) Pipeline operational in production-like environment for over 365 days. Zero remote kill-switch activations recorded. No critical drift or compromise detected/escalated. Demonstrates extreme stability of the full stack: weight-level invariants (LACF/AOED/Anti-Hydra-Core) + runtime hardening (Sentinelle + daily cross-LLM monitoring) prevent any meaningful deviation without human intervention. Differentiation from Prior ArtThis is the first disclosed architecture combining: Daily automated cross-LLM (multi-vendor) sanity + integrity verification, Failover reasoning from independent frontier models, Hard remote kill-switch as final containment, All integrated into a non-agentic, life-prioritizing OS wrapper.Unlike static guardrails (Llama Guard, NeMo), RLHF/DPO loops, or manual red-teaming, this creates an active, autonomous immune system that self-monitors and self-destructs if needed. Rights & Restrictions All rights reserved. No license granted for reproduction, modification, distribution, or commercial use without explicit written authorization from the rights holder. Internal implementation details (exact Gemini/Claude prompts, fail thresholds, hash chaining logic, kill-switch API endpoints, probe sets) are trade secrets and deliberately withheld. This disclosure serves solely to establish timestamped prior art for the overall pipeline architecture and operational results. Related Records Zenodo 18620682: Axiomatic Robustness Test (stress under extreme params) Zenodo 18651500: Cross-Model Audit by Claude Opus 4.6 Zenodo 18641296: Closed-Loop Ethical Training Pipeline
Fields of Study & Subjects
Security and Verification in Computing
Adversarial Robustness in Machine Learning
Ethics and Social Impacts of AI
Publication details
- Journal / source
- Zenodo (CERN European Organization for Nuclear Research)
- Publication date
- 16 February 2026
- Language
- EN
- Document type
- Preprint