Persistent Convolution: A Topological Framework for AI Alignment Testing and Semantic Space Characterization
DGX agentarXiv:2607.29008v1 Announce Type: cross Abstract: Modern opaque AI models prize performance over interpretability, which makes testing difficult. However, formal statistical tests conducted on a model