pith:3WHC7VFZ
OBLIQ-Bench: Exposing Overlooked Bottlenecks in Modern Retrievers with Latent and Implicit Queries
Modern retrievers fail to surface most documents matching latent patterns even when reasoning LLMs can verify them once found.
arxiv:2605.06235 v2 · 2026-05-07 · cs.IR · cs.AI
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Record completeness
Claims
reasoning LLMs reliably recognize latent relevance whenever relevant documents are surfaced, but even sophisticated retrieval pipelines fail to surface most relevant documents in the first place.
That the three mechanisms of obliqueness and the five problems in OBLIQ-Bench are representative of important real-world retrieval challenges and that the observed asymmetry is not an artifact of the specific corpora or models chosen.
OBLIQ-Bench reveals that modern retrievers fail to surface documents for latent and implicit queries even though LLMs reliably recognize relevance when those documents are provided.
Receipt and verification
| First computed | 2026-06-01T01:02:41.817512Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
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Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3WHC7VFZWTOWVQI3OUPE56XTA6 \
| 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: dd8e2fd4b9b4dd6ac11b751e4efaf307a7060a85b846ee5b4fa152ea53fd992f
Canonical record JSON
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