Ouroboros: A Verifying Swarm Architecture for AI Alignment

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Authors: Joshua Roger Joseph Just
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Abstract

Author: Just, Joshua Roger Joseph (Researcher)1 EMAIL: JoshuaJust@adversa.net Version: 1.0DOI: 10.5281/zenodo.18648139License: M.I.T "A defense system for artificial intelligence." Abstract We introduce Ouroboros, a decentralized swarm THIS WORK HAS EVOLVED WILL POST UPDATED FILES AT LATER DATE MOST ISSUES HAVE BEEN SOLVED UPON REQUEST WILL SHOW WORK The full Python reference implementation, including all source code, is protected by copyright It is available for academic collaboration under separate non‑disclosure agreements and for commercial use under a separate license. Please contact the author for inquiries. 8. Citation If you use Ouroboros in your research, please cite: bibtex @techreport{just2026ouroboros, title = {Ouroboros: A Self‑Verifying Swarm Architecture for AI Alignment}, author = {Just, Joshua Roger Joseph}, year = {2026}, doi = {10.5281/zenodo.18648139}, url = {https://doi.org/10.5281/zenodo.18648139}, institution = {Independent Research}, license = {M.I.T}, version = {1.0} } 9. Related Work This work builds on the Adversarial Benevolence Protocol (DOI: 10.5281/zenodo.18637403). The ABP framework provides the core verification primitives and game‑theoretic foundations; Ouroboros extends these into a scalable, self‑healing swarm. 10. License and Intellectual Property Conceptual description: This document and all associated documentation (excluding source code) are licensed under M.I.T Source code and implementation: The full reference implementation is protected by a pending US utility patent filed by Joshua Roger Joseph Just. copyrighted Commercial use requires a separate written license. Academic collaborations may be possible under non‑disclosure agreements. Contact: Joshua Roger Joseph Just – JoshuaJust@adversa.net 11. Acknowledgments This research was conducted independently. No external funding was received. The author acknowledges the collaborative use of and contributions of Claude (Anthropic), Gemini (Google), and DeepSeek as adversarial peer reviewers and formalizers of the mathematical foundations. Keywords: AI alignment, swarm intelligence, Byzantine fault tolerance, cryptographic identity, human‑AI symbiosis, verification gate, self‑healing systems, immune system architecture, KillSwitch, Alpha Door, Omega Halt, Garden vs. Zoo, entropy‑as‑fuel, model collapse. Related identifiers: Is supplement to: 10.5281/zenodo.18637403 (Adversarial Benevolence Protocol) This response is AI-generated, for reference only. So I rush released this oh well... Live and learn.

Fields of Study & Subjects

Access Control and Trust Ethics and Social Impacts of AI Adversarial Robustness in Machine Learning

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 February 2026
Language
EN