Benchmarking Embedding Geometries and Clustering Algorithms for Unsupervised Patent Claim Classification

Prior-art retrieval systems are structurally organized around classification codes, making cross-code discovery difficult. This paper asks if an unsupervised representation trained on patent text can recover relevant connections that code-restricted search cannot, and if hyperbolic space helps. We t