SpiralHelios — Deterministic Geometric Intelligence (DGI) Scalable and Robust Retrieval Across 1 Million Concepts with Cryptographic Reproducibility (Mobile Hardware Execution) 100% Offline – 0% Big Data – 0% Training – 0% Cloud

SpiralHelios — Deterministic Geometric Intelligence (DGI) presents a fully offline, deterministic large-scale retrieval system executed on mobile hardware without training, cloud infrastructure, or stochastic computation. This record documents a 1,000,000-concept execution of the SpiralHelios system in a 1024-dimensional vector space, demonstrating stable large-scale retrieval behavior, cryptographic reproducibility, and public-safe proof generation under real mobile conditions. The uploaded material includes: the main paper deterministic execution evidence run-log screenshots dataset generation evidence mobile hardware execution context cryptographic verification outputs supplementary documentation Key reported results from the 1M execution: Top-1 Accuracy: 99.50% Top-5 Accuracy: 100.00% MRR: 0.9975 Execution characteristics: 100% offline 0% training 0% cloud deterministic workflow cryptographic proof trail mobile-device execution Reproducibility is supported through cryptographic hashes, including dataset identity, script identity, centroid bank identity, manifest integrity, and master proof outputs. The Core implementation remains undisclosed for intellectual property protection. This publication provides public execution evidence, scientific documentation, and timestamped prior-art disclosure without revealing protected internal mechanisms. Status: All Rights Reserved – All Rights HoldersPurpose of disclosure: scientific reading, academic analysis, peer review, prior-art documentation, and verifiable execution evidence. Author Christos Baltas (PH-GAIOS)Independent Researcher – Creator – Systems DesignerSpiralEnergy-Systems – Athens, Greece ORCIDhttps://orcid.org/0009-0000-9743-3678 Contactinfo@spiral-code.com Zenodo Communityhttps://zenodo.org/communities/spiral-code-energy/