Near0 Multi-System Adversarial Verification Architecture (TM) This paper presents a novel methodology for developing and verifying technical work products using an ensemble of heterogeneous automated reasoning systems operating under a formal adversarial behavioral constraint specification. The architecture deploys a plurality of architecturally distinct reasoning systems as independent hostile reviewers, consolidates findings through cross-validation, and iterates corrections through a mutual resolution process requiring approval from at least two independent systems — all while preserving exclusive human domain-expert authority over substantive content decisions. A defining constraint is the strict prohibition on ansatz elements. The system operates as a nested dual-loop: an inner verification loop iterating to critique saturation, and an outer revision loop accommodating foundational expert revisions. Empirically validated during iterative development of a theoretical cosmology manuscript, where the ensemble identified a 10^22 magnitude arithmetic discontinuity (a 4+ dimensionsal tensor calculus equation working with near infinite values in comparison), a factor-of-2 frequency substitution error, and an exact tensor contraction coefficient through cross-system adversarial verification with independent deterministic computational confirmation. ## arXiv Endorsement RequestThis methodology paper is ready for submission to arXiv: cs.AI cs.LG cs.HC I am seeking an endorsement from a qualified published on arXiv researcher in artificial intelligence, machine learning, Human-Computer Interaction or computational methodology. If you can provide an arXiv endorsement, please contact me at 01001001am@duck.com