ARSHAM SHARIS & IRIS QSV: A Unified Framework for Deterministic Truth Evaluation and Impersonation Risk Mitigation on X

Abstract

Abstract This reference architecture addresses the structural vulnerability in contemporary AI and social platform systems caused by the implicit coupling of truth evaluation, decision-making, and execution. Released under the Apache-2.0 license, the framework introduces a rigorous separation of concerns through two core semantic entities: ARSHAM SHARIS, a non-probabilistic, deterministic truth and consistency evaluation core operating upstream of action systems, and RON FYRE, a non-referential semantic activation operator governing controlled, irreversible state transitions via append-only authorization gates. Applied to social ecosystem governance (specifically designed for X / Grok integration via the IRIS Impersonation Risk & Integrity System), the architecture combines multi-signal feature extraction (Python/Rust), a low-latency deterministic risk-scoring kernel (C++/Rust), and a policy enforcement engine (FLAG, LIMIT, SUSPEND). This blueprint effectively counters large-scale identity impersonation, automated crypto scams, and coordinated reply networks while preserving platform trust and operational explainability. In alignment with principles of digital integrity and social responsibility, 100 percent of all licensing revenues generated from enterprise deployments of this framework are dedicated to the Beit Ahawah Foundation (בית אהבה) for the reconstruction of Beit Ahawah in Berlin Mitte.