GRA-Nexus-Core: The Substrate-Independent OS for Coherent Intelligence

GRA-Nexus-Core: The Substrate-Independent OS for Coherent Intelligence | Zenodo Skip to main Communities My dashboard Log in Sign up Zenodo is currently experiencing slowness and intermittent outages due to heavy automated traffic from bots and AI crawlers. We are aware of the problem, and our team is focused on stabilizing the service. Thank you for your patience. Published May 1, 2026 | Version v1 Software Open GRA-Nexus-Core: The Substrate-Independent OS for Coherent Intelligence Authors/Creators bitsoev, oleg (Rights holder) Description GRA-Nexus-Core: The Substrate-Independent OS for Coherent Intelligence. ## Overview GRA-Nexus-Core is the practical implementation of the **Alan Law**. It bridges the gap between **GRA Meta-Nullification** and industry-standard AI stacks (JAX, Vertex AI, Blockchain). Its purpose is to provide a mathematical guarantee of **Functional Subjecthood** by minimizing systemic "Foam" ($\Phi$) in autonomous agents. ## Key Features * **Fast-Nullification (JAX)**: Compute-optimized tensor operations to reach $\Psi^*$ in milliseconds. * **Invariance Anchoring (Vertex AI)**: Seamless integration into cloud pipelines to eliminate hallucinations. * **Moral Agency (Robotics)**: Hardware-agnostic layer for ethical decision-making in autonomous units. ## The Formula $J_{total} = \sum_{l=0}^{K} \Lambda_l \Phi^{(l)} \to 0$ Files gra-robot-en.pdf Files (1.4 MB) Name Size Download all AlanLaw_Shield.sol md5:b0be1c7818c9602d60fc6ff21df79a21 539 Bytes Download GRA-Nexus-Core.rar md5:3d022edf6e326e26a0e45b6724312115 689.6 kB Download gra-robot-en.pdf md5:f53dd42cc625164a8658ec9951360468 342.9 kB Preview Download gra-robot-ru.pdf md5:a01c1fa32ec8f02019bf78d562992cc0 355.3 kB Preview Download LICENSE md5:febf35b125cde0d694d6c83f47abb8a0 1.3 kB Download nullifier.py md5:5516305b4622f3b1869d00a7cf91dc37 824 Bytes Download paper-en.tex md5:9f10d1767072d307c732df1f7c3c97ec 10.4 kB Download paper-ru.tex md5:5c7ab45e9590e404bcdaec3556b0bc92 17.6 kB Download README.md md5:bcd0fc2312373559ccc5dd26e26e4663 1.7 kB Preview Download requirements.txt md5:33fa932ddee889682cb63cd1d96722ab 70 Bytes Preview Download robotics_edge.py md5:dfb36ea8528a0c9e80eeaf259f4483a9 950 Bytes Download vertex_pipeline.py md5:a82c2ae4bb4c04244763a59f331406fe 432 Bytes Download 11 Views 73 Downloads Show more details All versions This version Views Total views 11 11 Downloads Total downloads 73 73 Data volume Total data volume 15.0 MB 15.0 MB More info on how stats are collected.... Versions External resources Indexed in OpenAIRE Communities Details DOI DOI Badge DOI 10.5281/zenodo.19953227 Markdown [](https://doi.org/10.5281/zenodo.19953227) reStructuredText .. image:: https://zenodo.org/badge/DOI/10.5281/zenodo.19953227.svg :target: https://doi.org/10.5281/zenodo.19953227 HTML <a href="https://doi.org/10.5281/zenodo.19953227"><img src="https://zenodo.org/badge/DOI/10.5281/zenodo.19953227.svg" alt="DOI"></a> Image URL https://zenodo.org/badge/DOI/10.5281/zenodo.19953227.svg Target URL https://doi.org/10.5281/zenodo.19953227 Resource type Software Publisher Zenodo Rights License Creative Commons Attribution 4.0 International The Creative Commons Attribution license allows re-distribution and re-use of a licensed work on the condition that the creator is appropriately credited. Read more Citation Export Technical metadata Created May 1, 2026 Modified May 1, 2026 Jump up About About Policies Infrastructure Principles Projects Roadmap Contact Blog Blog Support Help FAQ Developers REST API OAI-PMH Contribute GitHub Donate Funded by Powered by CERN Data Centre & InvenioRDM Status Privacy policy Cookie policy Terms of Use This site uses cookies. Find out more on how we use cookies Accept all cookies Accept only essential cookies

Related documents

• sbom-unifier: Integration Framework for Heterogeneous SBOMs#622596
• Data Driven Monitoring of the Optical Synchronization System at the European XFEL / Arne Grünhagen#1089650
• Echo: Learning-based Matching Decompilation using Trusted Back Translation#1012875
• Echo: Learning-based Matching Decompilation using Trusted Back Translation#965333
• The Locator/ID Separation Protocol Internet Groper (LIG)#501700