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dataset card

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@@ -105,10 +105,10 @@ as-of filters of the citation tasks.
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  **Baseline protocol caveat.** Fine-tuning on the training split with BM25 hard negatives mined across the whole
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  archive (the pre-registered protocol) hurts (MRR@10 0.424 ± 0.008 over 3 seeds vs 0.490 zero-shot). Post-hoc
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- controls: random negatives 0.666, random negatives within ±365 days 0.708, date-matched BM25 negatives 0.637. The
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- mined negatives are mostly at least partially relevant answers the qrels miss (audited test queries: 18% "directly
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- addresses", 51% "partially"), plus a date signal. Avoid naive hard-negative mining here; these results are post hoc,
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- to be confirmed on the next test period. Best pre-registered baseline: RRF(BM25, BGE-M3), 0.588.
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  Splits are temporal (train 2014–2021, dev 2022–2023, test 2024–2026); 2015 questions are dated from their XML
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  header.
 
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  **Baseline protocol caveat.** Fine-tuning on the training split with BM25 hard negatives mined across the whole
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  archive (the pre-registered protocol) hurts (MRR@10 0.424 ± 0.008 over 3 seeds vs 0.490 zero-shot). Post-hoc
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+ controls: random negatives 0.666, random negatives within ±365 days 0.708 (one seed each), date-matched BM25
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+ negatives 0.637 (3 seeds). Why is not established; plausibly many mined negatives are relevant answers the qrels miss
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+ (LLM-judged test-query proxy: 18% "directly addresses", 51% "partially"), plus a date signal. Avoid naive
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+ hard-negative mining here; these results are post hoc, to be confirmed on the next test period. Best pre-registered baseline: RRF(BM25, BGE-M3), 0.588.
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  Splits are temporal (train 2014–2021, dev 2022–2023, test 2024–2026); 2015 questions are dated from their XML
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  header.