Paper Citation Record · LEDGER

RaFe: Ranking Feedback Improves Query Rewriting for RAG

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2405.14431.

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

pith.paper-citation-record.v1
2405.14431 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:04:43.666531Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9d330129-4da0-44ad-8cfb-87298add11ae · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions RaFe: Ranking Feedback Improves Query Rewriting for RAG

Reference 216

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:46:27.171493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c59c1ea4-86c4-41eb-9eaa-be6172133b40 · inbound

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval cites this paper.

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval RaFe: Ranking Feedback Improves Query Rewriting for RAG

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:54:53.037574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 57a56f97-0f57-4418-8a28-d22b32178b47 · inbound

MIRIAD: Augmenting LLMs with millions of medical query-response pairs cites this paper.

MIRIAD: Augmenting LLMs with millions of medical query-response pairs RaFe: Ranking Feedback Improves Query Rewriting for RAG

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T06:04:43.666531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05151d47-7f33-407c-abc0-81e1de0a52c3 · inbound

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation cites this paper.

Harnessing the Power of Reinforcement Learning for Language-Model-Based Information Retriever via Query-Document Co-Augmentation RaFe: Ranking Feedback Improves Query Rewriting for RAG

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:33.552216Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6f13a39-79e0-43e7-97e2-f7e13c45cbb6 · inbound

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation cites this paper.

Leveraging LLM-Assisted Query Understanding for Live Retrieval-Augmented Generation RaFe: Ranking Feedback Improves Query Rewriting for RAG

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T22:31:38.370519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f5e0e86-2e0f-4747-89b9-79f171d125f2 · inbound

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models cites this paper.

How Good are LLM-based Rerankers? An Empirical Analysis of State-of-the-Art Reranking Models RaFe: Ranking Feedback Improves Query Rewriting for RAG

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:15:15.317839Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d78554-1528-4aa6-9ba4-fb5e3c7216b9 · inbound

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer cites this paper.

SEFRQO: A Self-Evolving Fine-Tuned RAG-Based Query Optimizer RaFe: Ranking Feedback Improves Query Rewriting for RAG

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T16:56:38.050540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.