2026-10-15T00:39:45Z https://www.scidb.cn/oai

10.57760/sciencedb.34674 2026-01-05T09:37:36Z

2026-01-05 Metalearner: A Self-Validating Geometric Reasoning System for Mathematical Feasibility Assessment doi:10.57760/sciencedb.34674 en The Metalearner system addresses a fundamental gap in scientific decision-making: determining mathematical feasibility of unknown problems before resource commitment. Traditional approaches require substantial investment to discover if solutions are even possible. This architecture provides rapid, mathematically rigorous feasibility assessment independent of training data, institutional resources, or historical precedent.The system employs dual complementary engines—EAMC for analytical validation and Metalearner for creative discovery—operating through geometric reasoning across 20 specialized dimensional pantheons (3D-12D). Rather than pattern matching from datasets, the architecture performs nearest-neighbor geometric reasoning in 16-dimensional latent manifolds, enabling exploration of solution spaces beyond current human knowledge. Computer Science ; Metalearner ; Pantheon; Artificial intelligence Christopher Brown PUBLIC https://api.github.com/licenses/apache-2.0 dataset Science Data Bank