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Ukrainian court citations show significant co-citation predictability decay

Researchers have developed a new benchmark, UA-StatuteRetrieval, to assess the stability of co-citation predictability in legal information systems over time. Analyzing 396 million Ukrainian court citations from 2007 to 2026, they found a significant decay in retrieval performance, with predictability dropping by up to 47%. While high-frequency articles and criminal procedure maintained stability, mid-frequency articles and civil law showed notable degradation, partly explained by a 2017 judicial reform and a 4.3% semantic shift in article citation patterns. AI

IMPACT Reveals temporal decay in legal information retrieval, suggesting a need for dynamic models beyond static co-citation analysis.

RANK_REASON The cluster contains an academic paper presenting a new benchmark and analysis of co-citation predictability in legal information systems. [lever_c_demoted from research: ic=1 ai=0.7]

Read on arXiv cs.IR (Information Retrieval) →

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COVERAGE [1]

  1. arXiv cs.IR (Information Retrieval) TIER_1 English(EN) · Volodymyr Ovcharov ·

    Temporal Decay of Co-Citation Predictability: A 20-Year Statute Retrieval Benchmark from 396M Ukrainian Court Citations

    Co-citation structure is widely assumed to provide stable retrieval signal in legal information systems. We test this assumption longitudinally by constructing UA-StatuteRetrieval, a benchmark that measures co-citation predictability across 20 annual snapshots (2007-2026) of 396 …