Paper Citation Record · LEDGER

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.17072.

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

pith.paper-citation-record.v1
2408.17072 v2

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 2026-08-13T06:32:02.005865+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:32:34.390988Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:39:16.352729Z

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 450cab20-6770-4056-9fb1-86229daf05d2 · inbound

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation cites this paper.

Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T19:32:34.390988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edf635c5-338a-4c6e-a34b-d64d52fdeecc · inbound

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation cites this paper.

Curriculum Guided Reinforcement Learning for Efficient Multi Hop Retrieval Augmented Generation MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:53:18.561534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d8d9bc2-999a-44bd-b15d-0228d44e7235 · inbound

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems cites this paper.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:38:22.355780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c29964f-6e8b-4d9a-bc6a-12adc7a48ccc · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:06.841997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e1aa4933-1f07-4be0-b2de-f79dd3f8fa25 · inbound

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data cites this paper.

$S^3$-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-01T00:55:12.091187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation fabe0df8-df57-45ad-ad22-ce356b57fd63 · inbound

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory cites this paper.

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:07:26.354200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 9118b76e-30b5-4ae2-81ff-a50140a4e937 · inbound

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory cites this paper.

Learning User-Aware Recall: Personalized Retrieval in Long-Term Conversational Memory MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:16.354487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.