Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Exploring the Best Practices of Query Expansion with Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.06311.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:15.431975Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T20:06:10.394084Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 0d263f1a-8584-4870-8589-6f015d4fab51 · inbound
REARANK: Reasoning Re-ranking Agent via Reinforcement Learning cites this paper.
REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Exploring the Best Practices of Query Expansion with Large Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:07:15.431975Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a0fa658e-194a-45ae-b6d9-7b2871f2b76c · inbound
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion cites this paper.
Exp4Fuse: A Rank Fusion Framework for Enhanced Sparse Retrieval using Large Language Model-based Query Expansion Exploring the Best Practices of Query Expansion with Large Language Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:38:19.147623Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4f0d04f-66d5-4219-a6ea-b4db776ce30e · inbound
Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines cites this paper.
Can QPP Choose the Right Query Variant? Evaluating Query Variant Selection for RAG Pipelines Exploring the Best Practices of Query Expansion with Large Language Models
Reference 93
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T20:06:10.396473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.