Paper Citation Record · LEDGER

Exploring the Best Practices of Query Expansion with Large Language Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2401.06311.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.06311 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:28:32.591526Z

measured 0 of 1 external citation measurements

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 9fb6ee9c-f601-4f84-930d-f86fe20fcf80 · inbound

PaSa: An LLM Agent for Comprehensive Academic Paper Search cites this paper.

PaSa: An LLM Agent for Comprehensive Academic Paper Search Exploring the Best Practices of Query Expansion with Large Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T19:28:32.591526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-18T06:34:40.430872+00:00.