arXiv — NLP / Computation & Language · · 3 min read

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

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Computer Science > Computation and Language

arXiv:2605.17639 (cs)
[Submitted on 17 May 2026]

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

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Abstract: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 million codex citations from 101 million Ukrainian court decisions. Using a leave-one-out protocol over the full bipartite citation graph, we find that Adamic-Adar MRR declines 33% on a fixed set of articles (from 0.43 to 0.29) and 47% under a train/test temporal split (from 0.51 to 0.27) confirming genuine temporal decay rather than compositional shift or evaluation artifact. The decay is non-uniform: criminal procedure maintains stable co-citation patterns (MRR ~0.40), while civil law degrades from 0.35 to 0.15, coinciding with the 2017 judicial reform. Hub articles (>100K citations) resist decay, but mid-frequency articles (1K-10K) -- the practical retrieval frontier lose half their predictability. A BM25 text baseline decays even faster (31%), and embedding drift analysis with E5-large reveals a 4.3% semantic shift in how articles are cited, providing a mechanistic explanation for the observed decay. The benchmark is released at this https URL.
Comments: 12 pages, 8 figures, 4 tables. Dataset: this https URL
Subjects: Computation and Language (cs.CL); Information Retrieval (cs.IR)
ACM classes: H.3.3; I.2.7
Cite as: arXiv:2605.17639 [cs.CL]
  (or arXiv:2605.17639v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2605.17639
arXiv-issued DOI via DataCite (pending registration)

Submission history

From: Volodymyr Ovcharov [view email]
[v1] Sun, 17 May 2026 20:15:37 UTC (44 KB)
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