Multi-Dimensional Knowledge Profiling with Large-Scale Literature Database and Hierarchical Retrieval

ArXi:2601.15170v2 Announce Type: replace The rapid expansion of research across machine learning, vision, and language has produced a volume of publications that is increasingly difficult to synthesize. Traditional bibliometric tools rely mainly on metadata and offer limited visibility into the semantic content of papers, making it hard to track how research themes evolve over time or how different areas influence one another.