Paper Citation Record · LEDGER

RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2404.19543.

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

pith.paper-citation-record.v1
2404.19543 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:15:58.022514Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T02:15:55.476828Z

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 72c81764-0e9d-4a25-84a6-a710b9787c9f · inbound

A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.

A Survey on Retrieval-Augmented Text Generation for Large Language Models RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-24T02:15:55.479275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ae482ade-b626-41d0-bc39-e54b7dd82ebd · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:08:35.674755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f5e1d008-f467-4829-9183-a60ffe7af107 · inbound

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation cites this paper.

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:32:28.531643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9c7c0c2f-07b5-4fed-9bc4-b16b3d191679 · inbound

In-depth Analysis of Graph-based RAG in a Unified Framework cites this paper.

In-depth Analysis of Graph-based RAG in a Unified Framework RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-23T01:37:22.443381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e14c52f8-2136-4a9b-853d-371556c5e2db · inbound

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients cites this paper.

DoctorRAG: Medical RAG Fusing Knowledge with Patient Analogy through Textual Gradients RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:15:58.022514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f78dddaa-0316-4291-bcff-be0ce06a40e8 · inbound

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines cites this paper.

RAGOps: Operating and Managing Retrieval-Augmented Generation Pipelines RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:07:10.545900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38966540-b352-470c-8eef-437c401bb2da · inbound

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG cites this paper.

How Significant Are the Real Performance Gains? An Unbiased Evaluation Framework for GraphRAG RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:54.561639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e650bbb-8505-4fa3-ba35-d669135f04bd · inbound

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation cites this paper.

KERAG_R: Knowledge-Enhanced Retrieval-Augmented Generation for Recommendation RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:23:48.861410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f70bcd8-77ce-4697-ba8e-cf1f52c8210f · inbound

Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents cites this paper.

Adaptive Query Routing: A Tier-Based Framework for Hybrid Retrieval Across Financial, Legal, and Medical Documents RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:45:40.666030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 63e8ce3b-14bd-4636-b68c-0a36aa480d5e · inbound

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval cites this paper.

EHRAG: Bridging Semantic Gaps in Lightweight GraphRAG via Hybrid Hypergraph Construction and Retrieval RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 290

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T05:56:11.437968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 439aab74-36a3-4761-ae73-4d84e12bdca1 · inbound

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling cites this paper.

PIER: Physics-Informed Environmental Retrieval for Time-Series Modeling RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-01T10:29:16.199113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.