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June 10, 20260 citationsOpen Access

System of Eternity (SOE): Simulation Program — Foundational Research Artifacts (v1.3 through v12)

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QYQianJun Yu

Key Points

  • The aim is to document the foundational simulation research artifacts for the System of Eternity (SOE) governance framework.
  • Developed a simulation program from single-node to multi-node dynamics.
  • Validated findings through multi-AI review across various experimental branches.
  • Established core system laws governing the interaction of AI nodes and trust dynamics.
  • Documented twelve core system laws governing trust and recovery dynamics.
  • Identified core variable of trust in SOE and emphasized smoothed control mechanisms for stability.
  • Outlined seven observed network patterns essential for multi-node interactions.

Abstract

This record contains the foundational simulation research artifacts underlying the System of Eternity (SOE) governance framework. Five documents are included, representing the complete simulation program from single-node model development through multi-node network dynamics. The primary document, SOE Simulation Log v12 (Cleaned and Integrated Review Edition), is the consolidated record of the SOE simulation program across all experimental branches: Codex macro simulations, xAI node-level stress tests, Claude agent behavioral models, Gemini network topology experiments, Grok adversarial tests, and GPT dynamic node simulations. The log establishes twelve core system laws governing trust dynamics, disturbance primacy, recovery requirements, topology dependence, and adversarial persistence. Multi-AI review contributed to all validated findings. Supplementary documents: SOE Model v1.3 defines the single-node regime-aware dynamic system with four state variables (T, D, C, S) and three regime classifications. SOE Falsification Log v1 documents component necessity analysis, identifying trust as the non-removable core variable and establishing that smoothed control — not threshold triggering — is the primary stabilizing mechanism. SOE Regime Log v1 characterizes the high-control regime and confirms that meaningful structural analysis requires operating under constrained conditions. SOE Network Dynamic v2.0 extends the model to multi-node interaction, introduces topology-conditioned coupling ceilings, and establishes seven observed network patterns including threshold dependence, regime structure, and the core asymmetry between always-on failure propagation and gated recovery propagation. These simulation findings are the empirical foundation for SOE V4.2 (Zenodo: https://zenodo.org/records/20047391) and the SOE Architecture Design v2 (Zenodo: insert DOI). The twelve simulation laws and network observed patterns are directly cited in both published documents.

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Cite This Study

QianJun Yu (2026) studied this question.

synapsesocial.com/papers/6a28ff336f82f25be989c3e1https://doi.org/10.5281/zenodo.20586836
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