XREALISM®: Admissibility Before Behavior — Architectural Foundations for Pre-Existence Safety in AI Systems

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Authors: Ladgrad Ladislav Gradečak
Cited by: 0

Abstract

This work introduces XREALISM®, an architectural and ontological framework for AI and agentic systems in which admissibility is defined before behavior. Unlike implementation-level safety patterns that constrain actions after systems are instantiated, XREALISM defines a pre-existence admissibility layer (ΣE) that determines which internal states, transitions, and escalations are allowed to exist at all. The framework includes a protected core (Ψₙ), explicit input/output boundaries, and enforced separation prior to behavior, analogous to safety-critical architectures used in avionics, rail signaling, FPGA systems, and medical devices. This document serves as a prior art disclosure, establishing the conceptual, architectural, and operational foundations of admissibility-first system design, without revealing protected implementation details or internal logic. SHA-256: e16dd783fb75c253a29cdf9c0029270ab3920716cf038f9420ea6f0499fa6c71 🔐 XREALISM® License XREALISM® — Admissibility-First Architecture © Dr. Ladislav Gradečak. All rights reserved. This work is licensed under: Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International (CC BY-NC-ND 4.0)

Fields of Study & Subjects

Safety Systems Engineering in Autonomy Ethics and Social Impacts of AI Formal Methods in Verification

Publication details

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