The Topological Dual of a Dataset: A Logic-to-Topology Encoding for AlphaGeometry-Style Data
A research paper proposing a novel logic-to-topology encoding for neuro-symbolic AI has been withdrawn by its author. The paper aimed to address scaling bottlenecks in systems like AlphaGeometry by revealing structural invariants in a model's latent space. It introduced the concept of the "topological dual of a dataset" as a method for mechanistic interpretability. AI