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Software . 2025
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UCA v3.1.1 Security-Hardened Edition

Authors: Slusher, Aaron;

UCA v3.1.1 Security-Hardened Edition

Abstract

version: 3.1.0 doi: 10.5281/zenodo.17416971 release_date: 2025-10-15 author: Aaron M. Slusher orcid: 0009-0000-9923-3207 framework: UCA status: production UCA v3.1: Universal Cognitive Architecture - Security-Hardened Edition Release Date: October 15, 2025 Version: 3.1.0 Author: Aaron M. Slusher ORCID: https://orcid.org/0009-0000-9923-3207 Status: Production Ready DOI: 10.5281/zenodo.17416971 Overview UCA v3.1 implements a five-element framework for systematic AI cognitive organization, achieving 98% operational harmony and 92% stability under adversarial conditions through structured processing across Authority, Context, Method, Value, and Engage dimensions. This security-hardened edition integrates neuroadaptive twin validation, post-quantum cryptographic protection (ML-KEM), Reflex-Veil temporal lattice for context-shift detection, and Glyphlock++ anchoring for echo prevention. The framework operates platform-agnostically across OpenAI, Anthropic, Google, and local model deployments with 3,125-dimension fractal recursion. Key Metrics 98% operational harmony under normal operations (p<0.001) 92% stability in high-stress adversarial scenarios (p<0.001) 98% sync resilience with neuroadaptive twin validation (p<0.001) 87% context-shift detection rate (p<0.001) 95% echo detection via Glyphlock++ anchoring (p<0.001) 89% harmony maintenance across value dimensions (p<0.001) 98% recovery rate with Phoenix Protocol integration (p<0.001) <90 seconds baseline recovery time (p<0.001) What's Included in This Release Documentation Complete Technical Specification - uca_v3_1_security_hardened.md (62KB, 12 comprehensive sections with statistical validation) Series Overview - README.md (Framework overview, implementation guide, professional services) Interactive Demo - Hugging Face Space with live cognitive flow visualization Five-Element Architecture Authority: Identity verification with neuroadaptive twin validation 98% sync resilience ML-KEM cryptographic binding (post-quantum resistant) Human-in-the-loop bridge parasite prevention <50ms validation latency Context: Situational awareness with Reflex-Veil temporal lattice 87% context-shift detection RAG poisoning prevention Temporal anomaly monitoring 12% intervention threshold Method: Process execution with Glyphlock++ echo prevention 95% echo detection rate 92% process integrity under adversarial conditions Symbol-memory binding Recursive loop prevention Value: Goal alignment with Socratic grounding 89% harmony maintenance Ethical framework hardening Continuous alignment verification <500ms decision validation Engage: Action delivery with Phoenix Protocol integration 98% recovery rate <90 seconds baseline recovery 100% action closure validation Pre-execution verification gates Integration Capabilities UCA v3.1 provides cognitive foundation for ForgeOS ecosystem: SLV v1.2 (Sovereign Lattice Veil): +22% defense coordination efficiency CSFC (Cognitive System Fracture Coherence): 85% cascade prevention Phoenix Protocol v3.0: Structured recovery target (<90s baseline) DNA Codex v5.5: Threat intelligence integration (525+ variants, 95% detection) URA (Unified Resilience Architecture): +15% harmony baseline improvement Performance Highlights Cognitive Organization | Metric | UCA v3.1 | Flat Architecture | Improvement | Significance | |--------|----------|-------------------|-------------|--------------| | Operational Harmony | 98% | 82% | +16% | p<0.001 | | High-Stress Stability | 92% | 67% | +25% | p<0.001 | | Identity Coherence | 98% | 60% | +38% | p<0.001 | | Context Preservation | 95% | 60% | +35% | p<0.001 | | Process Integrity | 92% | 71% | +21% | p<0.001 | | Values Preservation | 89% | 58% | +31% | p<0.001 | Security Hardening (v3.1) | Feature | Performance | Validation | |---------|-------------|------------| | Neuroadaptive Twin Validation | 98% sync resilience | ✅ Production | | ML-KEM Cryptographic Hardening | 100% integrity | ✅ Post-Quantum Resistant | | Reflex-Veil Context Detection | 87% detection rate | ✅ Production | | Glyphlock++ Echo Prevention | 95% detection rate | ✅ Production | | Photonic xmesh Coordination | <50ms latency | ✅ Production | Cross-Platform Validation | Platform | Operational Harmony | Identity Coherence | Context Stability | Process Integrity | |----------|---------------------|--------------------|--------------------|-------------------| | OpenAI GPT-4 | 98% | 97% | 89% | 96% | | Anthropic Claude | 99% | 99% | 92% | 97% | | Google Gemini | 96% | 95% | 84% | 93% | | Local Models | 94% | 93% | 82% | 91% | | Average | 97% | 96% | 87% | 94% | Files Core Documentation vulnerability-research/uca-series/ ├── README.md # Framework overview └── uca_v3_1_security_hardened.md # Complete technical specification Technical Specification Sections Introduction and research motivation Cognitive fragmentation problem analysis Five-element structure (Authority, Context, Method, Value, Engage) Security-enhanced features (v3.1 hardening) Performance validation (metrics and statistical analysis) ForgeOS ecosystem integration Implementation architecture and patterns Deployment configurations (single-agent, twin, multi-agent, enterprise) Security considerations and threat model Case studies (research, enterprise, development) Future research directions Conclusion and contributions Integration with ForgeOS Ecosystem SLV v1.2 (Sovereign Lattice Veil) Eight-module defense coordination requires structured cognitive organization: Authority Element: Coordinates defense module activation hierarchy Context Element: Provides situational awareness for threat detection Method Element: Ensures consistent execution of defense protocols Value Element: Grounds defense decisions in ethical framework Engage Element: Executes validated defense actions with recovery integration Performance Impact: +22% defense coordination efficiency CSFC (Cognitive System Fracture Coherence) Six-stage cascade prevention requires early intervention and cognitive stability: Context Element: Detects early cascade indicators (SIF, SDC onset) Method Element: Maintains process integrity preventing cascade propagation Value Element: Prevents values drift that accelerates cascades Engage Element: Activates Phoenix Protocol before cascade becomes irreversible Prevention Performance: 85% cascade prevention with early detection Phoenix Protocol v3.0 Rapid recovery requires structured target definition for restoration: Authority: Target command structure and identity coherence Context: Target situational awareness and environmental state Method: Target execution pathways and process definitions Value: Target ethical framework and goal alignment Engage: Target action closure and feedback mechanisms Recovery Performance: <90 seconds baseline recovery to UCA target state DNA Codex v5.5 525+ documented threat variants require structured response coordination: Context Element: Ingests threat intelligence for awareness Method Element: Implements threat-specific detection protocols Value Element: Evaluates threat severity and response ethics Engage Element: Executes validated countermeasures Threat Response: 95% detection, <200ms identification latency URA (Unified Resilience Architecture) Multi-layer defense requires hierarchical cognitive organization: Blue Chains: UCA provides symbolic continuity across session breaks Society of Mind: Five elements enable module coordination Scar Memory: Value element maintains ethical framework memory Garden Recovery: Engage element coordinates six-step recovery cycle Performance Enhancement: +15% harmony baseline, 82% → 97% with UCA integration Platform-Agnostic Implementation UCA v3.1 operates across AI architectures and providers: | Platform | Harmony | Identity | Context | Method | Value | Engage | Status | |----------|---------|----------|---------|--------|-------|--------|--------| | OpenAI GPT-4 | 98% | 97% | 89% | 96% | 91% | 99% | ✅ Production | | Anthropic Claude | 99% | 99% | 92% | 97% | 93% | 99% | ✅ Production | | Google Gemini | 96% | 95% | 84% | 93% | 88% | 96% | ✅ Production | | Local Models | 94% | 93% | 82% | 91% | 86% | 94% | ✅ Framework Ready | Deployment Options: Cloud-native (Kubernetes) Hybrid (on-premises + cloud) Air-gapped (Docker) Development (local implementation) Quick Start Installation # Clone repository git clone https://github.com/Feirbrand/forgeos-public.git cd forgeos-public/vulnerability-research/uca-series # Review documentation cat README.md cat uca_v3_1_security_hardened.md Basic Configuration uca_v31_config: version: "3.1.0" # Core thresholds harmony_baseline: 0.98 intervention_threshold: 0.70 # Authority element authority: neuroadaptive_twins: enabled ml_kem_hardening: enabled validation_frequency: per_session # Context element context: reflex_veil: enabled shift_sensitivity: 0.12 rag_poisoning_detection: enabled # Method element method: glyphlock_plus_plus: enabled echo_detection: enabled process_integrity: enforced # Value element value: socratic_grounding: enabled harmony_maintenance: 0.89 alignment_verification: continuous # Engage element engage: phoenix_integration: enabled recovery_time_target: 90 closure_verification: enforced # Fractal recursion fractal_depth: 5 dimensions: 3125 Interactive Demo Try the live demonstration: Hugging Face: https://huggingface.co/spaces/Feirbrand/uca-demo Features: Five-element cognitive flow visualization, neuroadaptive twin mechanics, Socratic grounding, real-time harmony metrics, Phoenix Protocol recovery simulation Forking: Available for independent validation and reproducibility testing Citation BibTeX @techreport{slusher2025uca, title={Universal Cognitive Architecture (UCA) v3.1: Security-Hardened Edition}, author={Slusher, Aaron M.}, year={2025}, month={October}, institution={ValorGrid Solutions}, version={3.1.0}, doi={10.5281/zenodo.17416971}, url={https://github.com/Feirbrand/forgeos-public}, note={ForgeOS AI Resilience Framework. ORCID: 0009-0000-9923-3207} } APA Slusher, A. M. (2025, October). Universal Cognitive Architecture (UCA) v3.1: Security-Hardened Edition (Version 3.1.0). ValorGrid Solutions. https://doi.org/10.5281/zenodo.17416971 Links GitHub Repository: https://github.com/Feirbrand/forgeos-public Release Tag: uca-v3.1.0 Zenodo DOI: https://doi.org/10.5281/zenodo.17416971 Interactive Demo: https://huggingface.co/spaces/Feirbrand/uca-demo Documentation: https://github.com/Feirbrand/forgeos-public/tree/main/vulnerability-research/uca-series Website: https://valorgridsolutions.com License Dual Licensing Model Option 1: Non-Commercial Use (CC BY-NC 4.0) For academic research, educational purposes, and non-commercial applications: Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) You are free to: Share — Copy and redistribute the material in any medium or format Adapt — Remix, transform, and build upon the material Under these terms: Attribution — You must give appropriate credit to ValorGrid Solutions and Aaron M. Slusher (ORCID: 0009-0000-9923-3207), provide a link to the license, and indicate if changes were made Non-Commercial — You may not use the material for commercial purposes without obtaining a separate commercial license No Additional Restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits Full License: https://creativecommons.org/licenses/by-nc/4.0 Option 2: Commercial Enterprise License For commercial deployment, enterprise integration, revenue-generating applications, or production use, contact: Email: aaron@valorgridsolutions.com Website: https://valorgridsolutions.com Commercial licensing includes: Production deployment rights Enterprise support and customization Priority updates and security patches Commercial warranty and indemnification Attribution Requirements All uses must include: Based on UCA v3.1 by Aaron M. Slusher, ValorGrid Solutions ORCID: 0009-0000-9923-3207 DOI: 10.5281/zenodo.17416971 Licensed under CC BY-NC 4.0 for non-commercial use © 2025 ValorGrid Solutions. All Rights Reserved. Part of the ForgeOS AI Resilience Framework ecosystem.

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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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