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Temporal Misgrounding in Legal RAG: A Versioned-Corpus Benchmark for French Tax Law

We identify and quantify temporal misgrounding: the systematic retrieval and citation of the currently in-force version of a legal article when the applicable version is an earlier or future one. Standard legal RAG treats the corpus as static; we argue legal question answering is a temporally-indexed retrieval problem. We introduce FiscalQA Pro, pairing a versioned corpus of 32,436 article-versions of the French tax code (93 years, 1938-2031) with an all-model-hard temporal-reasoning track: 209 scored, expert-reviewed questions across 33 CGI articles (221 released; twelve flagged out of the answerable scope). At selection time, no evaluated model recovered its date-applicable answer close...

AuthorsRose Cymbler, Daniel Guez, Laurent Fabre
Primary categorycs.CL
Published10 August 2026
Last updated at source10 August 2026
cs.CLcs.AIcs.IR
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