NC/SP V3 Sentinel Telemetry Core – Complete Thesis and Engineering Guide for Sovereign AI Architecture
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| Format: | Recurso digital |
| Langue: | anglais |
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Zenodo
2026
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| _version_ | 1866901939411746816 |
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| author | benhadid, outail |
| author_facet | benhadid, outail |
| contents | <h2><span class="">RÉSUMÉ (Abstract)</span></h2> <p class="ds-markdown-paragraph"><span class="">This document is the complete thesis and engineering guide for the S-KERNEL V3 Sentinel Telemetry Core, a full implementation of the NC/SP V3 (Core Nucleus / Personality Sphere) architecture for sovereign, deterministic, and stable AI systems.</span></p> <p class="ds-markdown-paragraph"><span class="">The system measures logical pressure (P) from conditional branches, semantic noise (B) from Hamming distances, and computes the stability index S = Ψ/(P+B+ε) in real time. When S falls below 1, a Nuclear Rollback is triggered. Physical invariants: Ψ = 48016.8, Φ = -51.1 mV, heptadic cycle k = 7.</span></p> <p class="ds-markdown-paragraph"><span class="">This document includes: legal clause (LPV3), mathematical derivations, the 7 SP layers, 21 stress tests for certification (Bronze to Platinum), complete HTML/JavaScript implementation guide, GitHub deployment instructions, expected results (Classical LLM: 30-70 points Failure vs NC/SP V3: 168-189 points Gold/Platinum), limitations, and future work.</span></p> <p class="ds-markdown-paragraph"><span class="">Target audience: Engineers, researchers, developers deploying sovereign AI free from hallucinations, prompt injections, and logical contradictions.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20233051 |
| institution | Zenodo |
| language | eng |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | NC/SP V3 Sentinel Telemetry Core – Complete Thesis and Engineering Guide for Sovereign AI Architecture benhadid, outail NC/SP V3, Core Nucleus, Personality Sphere, Sovereign AI, Deterministic AI, Nuclear Rollback, Phase Embolism, Heptadic Law, Lyapunov convergence, Psi constant 48016.8, Phi attractor -51.1 mV, Logical pressure measurement, Semantic noise Hamming distance, Z3 contradiction detection, LPV3 license, Blida Standard, S-Kernel V3, Certification protocol, 21 stress tests, Inverse Turing test <h2><span class="">RÉSUMÉ (Abstract)</span></h2> <p class="ds-markdown-paragraph"><span class="">This document is the complete thesis and engineering guide for the S-KERNEL V3 Sentinel Telemetry Core, a full implementation of the NC/SP V3 (Core Nucleus / Personality Sphere) architecture for sovereign, deterministic, and stable AI systems.</span></p> <p class="ds-markdown-paragraph"><span class="">The system measures logical pressure (P) from conditional branches, semantic noise (B) from Hamming distances, and computes the stability index S = Ψ/(P+B+ε) in real time. When S falls below 1, a Nuclear Rollback is triggered. Physical invariants: Ψ = 48016.8, Φ = -51.1 mV, heptadic cycle k = 7.</span></p> <p class="ds-markdown-paragraph"><span class="">This document includes: legal clause (LPV3), mathematical derivations, the 7 SP layers, 21 stress tests for certification (Bronze to Platinum), complete HTML/JavaScript implementation guide, GitHub deployment instructions, expected results (Classical LLM: 30-70 points Failure vs NC/SP V3: 168-189 points Gold/Platinum), limitations, and future work.</span></p> <p class="ds-markdown-paragraph"><span class="">Target audience: Engineers, researchers, developers deploying sovereign AI free from hallucinations, prompt injections, and logical contradictions.</span></p> |
| title | NC/SP V3 Sentinel Telemetry Core – Complete Thesis and Engineering Guide for Sovereign AI Architecture |
| topic | NC/SP V3, Core Nucleus, Personality Sphere, Sovereign AI, Deterministic AI, Nuclear Rollback, Phase Embolism, Heptadic Law, Lyapunov convergence, Psi constant 48016.8, Phi attractor -51.1 mV, Logical pressure measurement, Semantic noise Hamming distance, Z3 contradiction detection, LPV3 license, Blida Standard, S-Kernel V3, Certification protocol, 21 stress tests, Inverse Turing test |
| url | https://doi.org/10.5281/zenodo.20233051 |