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pith:J2YYL3X2

pith:2026:J2YYL3X2BSG2YETVWNWX2QASPM
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RARE: Redundancy-Aware Retrieval Evaluation Framework for High-Similarity Corpora

Hanjun Cho, Jay-Yoon Lee

Standard retrieval benchmarks fail to capture performance drops in redundant real-world corpora.

arxiv:2604.19047 v2 · 2026-04-21 · cs.CL · cs.AI · cs.IR

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

a strong retriever baseline drops from 66.4% PerfRecall@10 on 4-hop General-Wiki to 5.0-27.9% PerfRecall@10 at 4-hop depth, revealing robustness gaps that current benchmarks fail to capture.

C2weakest assumption

That decomposing documents into atomic facts plus CRRF rank-fusion produces benchmark data that faithfully reflects real-world redundancy and quality without introducing new artifacts or biases.

C3one line summary

RARE builds redundancy-aware benchmarks via atomic fact decomposition and CRRF-enhanced LLM generation, showing retriever PerfRecall@10 dropping from 66.4% on general data to 5.0-27.9% on high-similarity finance/legal/patent corpora.

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1 paper in Pith

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First computed 2026-07-01T01:17:51.017809Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4eb185eefa0c8dac1275b36d7d40127b1f058219e31da2e9679f5b0792dccaaf

Aliases

arxiv: 2604.19047 · arxiv_version: 2604.19047v2 · doi: 10.48550/arxiv.2604.19047 · pith_short_12: J2YYL3X2BSG2 · pith_short_16: J2YYL3X2BSG2YETV · pith_short_8: J2YYL3X2
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/J2YYL3X2BSG2YETVWNWX2QASPM \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 4eb185eefa0c8dac1275b36d7d40127b1f058219e31da2e9679f5b0792dccaaf
Canonical record JSON
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    "license": "http://creativecommons.org/licenses/by/4.0/",
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    "submitted_at": "2026-04-21T03:54:09Z",
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