XREALISM®: Admissibility Before Behavior — Architectural Foundations for Pre-Existence Safety in AI Systems
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2026
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| _version_ | 1866901766586499072 |
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| author | Ladislav Gradečak, Ladgrad |
| author_facet | Ladislav Gradečak, Ladgrad |
| contents | <p>This work introduces XREALISM®, an architectural and ontological framework for AI and agentic systems in which admissibility is defined before behavior.</p> <p> </p> <p>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.</p> <p> </p> <p>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.</p> <p>SHA-256:</p> <p>e16dd783fb75c253a29cdf9c0029270ab3920716cf038f9420ea6f0499fa6c71</p> <p> </p> <p> XREALISM® License</p> <p>XREALISM® — Admissibility-First Architecture</p> <p>© Dr. Ladislav Gradečak. All rights reserved.</p> <p>This work is licensed under:</p> <p>Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International</p> <p>(CC BY-NC-ND 4.0)</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18593822 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | XREALISM®: Admissibility Before Behavior — Architectural Foundations for Pre-Existence Safety in AI Systems Ladislav Gradečak, Ladgrad XREALISM, SigmaE, admissibility, AI architecture, pre-decision safety, architectural safety, ontological boundary, agentic systems, safety-critical AI, prior art <p>This work introduces XREALISM®, an architectural and ontological framework for AI and agentic systems in which admissibility is defined before behavior.</p> <p> </p> <p>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.</p> <p> </p> <p>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.</p> <p>SHA-256:</p> <p>e16dd783fb75c253a29cdf9c0029270ab3920716cf038f9420ea6f0499fa6c71</p> <p> </p> <p> XREALISM® License</p> <p>XREALISM® — Admissibility-First Architecture</p> <p>© Dr. Ladislav Gradečak. All rights reserved.</p> <p>This work is licensed under:</p> <p>Creative Commons Attribution–NonCommercial–NoDerivatives 4.0 International</p> <p>(CC BY-NC-ND 4.0)</p> |
| title | XREALISM®: Admissibility Before Behavior — Architectural Foundations for Pre-Existence Safety in AI Systems |
| topic | XREALISM, SigmaE, admissibility, AI architecture, pre-decision safety, architectural safety, ontological boundary, agentic systems, safety-critical AI, prior art |
| url | https://doi.org/10.5281/zenodo.18593822 |