| model_details: | |
| name: "G-SSM XOR Parity Solver" | |
| version: "1.0.0" | |
| author: "Joaquín Stürtz" | |
| organization: "DepthMuun" | |
| license: "CC BY-NC-ND 4.0" | |
| doi: "10.5281/zenodo.19141133" | |
| architecture: | |
| paradigm: "GFN (Geometric Flow Networks)" | |
| realization: "G-SSM (Geodesic State Space Model)" | |
| topology: "Toroidal" | |
| dimensions: 8 | |
| depth: 1 | |
| heads: 2 | |
| integrator: "Yoshida (Symplectic)" | |
| holographic_encoding: true | |
| performance: | |
| accuracy: "100.0%" | |
| extrapolation_limit: "1,000,000+ tokens" | |
| vram_usage: "~30MB (Constant O(1))" | |
| tags: | |
| - GFN | |
| - G-SSM | |
| - Physics-Informed AI | |
| - Geometric Deep Learning | |
| - Symbolic Logic | |
| - XOR | |