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Towards Automatic Evolution Tree Generation from Citation Graphs

This story is from 2026-09-10. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09561v1 Announce Type: new Abstract: Surveys remain the primary way researchers grasp the lineage of methods within an AI subfield, but they scale poorly against the current rate of publication. Existing taxonomy-induction methods are largely leaf-bound and time-agnostic; they tend to fo…

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  1. 2026-09-10 04:00 · arXiv cs.CL
    Towards Automatic Evolution Tree Generation from Citation Graphs

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