papersSEP 10 04:00 UTC
Paper Proposes Auto-Generating Evolution Trees of AI Methods from Citation Graphs
A new arXiv paper presents an approach that automatically builds evolution trees tracing how methods in a research subfield descend from earlier work, using citation graph data. The authors argue that manually written surveys can no longer keep pace with publication volume, while existing taxonomy-induction techniques capture only leaf categories and lack temporal awareness. The work aims to enable scalable, time-aware mapping of research lineages across AI fields.