Pith. sign in

Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 14 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 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 14 of 14 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:45:39.330256Z

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-24T02:15:05.379583Z digest=sha256:df73abb958c386d709fc14c0e9d175f44bdec977db56c3ada6e7f1c983a8043b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T23:06:41.081461Z digest=sha256:99f85074b430f58458c275e6ed5a469cf94314c012f7c755fbcb07a6c6712767

Observation 873ae1a7-4367-45ed-ad39-549dcb856795 · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-11T16:29:56.672218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:29:56.672218Z digest=sha256:61eb8d49c5ce2bd5cb0cd4fd03ce978da18d2ce22d45650b298225b41eca2d58

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T03:28:13.313028Z digest=sha256:171c01ee980e2287ee749d65ad6ff08825199ec49db1d2c9dfbc5b5c98a38e35

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T01:36:25.057478Z digest=sha256:4a7878015f3604e760e35aa245f1ac9bd1467b66130cd59023965c02b5727809

Observation e34701f6-df57-47db-8996-e597f124d78e · inbound

Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data cites this paper.

Survey of Filtered Approximate Nearest Neighbor Search over the Vector-Scalar Hybrid Data RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T22:45:39.330256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:45:39.330256Z digest=sha256:7be66cf02def1e4d5cdf08f1a5e02e805d60b9f03a91dc3e1426327ace5dcb0a

Observation 0cb45d0f-1b42-4655-9b66-b94cde207428 · inbound

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache cites this paper.

SubGCache: Accelerating Graph-based RAG with Subgraph-level KV Cache RAG and RAU: A Survey on Retrieval-Augmented Language Model in Natural Language Processing

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T21:05:40.027436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:05:40.027436Z digest=sha256:f403e2df954cce3d77da3fdae776ec35602731552c6427c6dde381b4e5c8139d

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.

source=pdf_text observed=2026-08-07T14:15:58.022514Z digest=sha256:47b85ae041d4aeb4a9f7d7584959f1fa7e56165e939eb17fd5dc77a80eb37aca

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.

source=pdf_text observed=2026-08-07T11:07:10.545900Z digest=sha256:fbe3386c0168abe32379acf8d3b01ccacb27b4a62f0074f403daa329753dcc5e

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.

source=pdf_text observed=2026-08-07T12:09:54.561639Z digest=sha256:e59f12fd9ab37392a71d27a649859531c838f618b0581aaa712e498387007215

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.

source=pdf_text observed=2026-08-06T19:23:48.861410Z digest=sha256:725acb6988090160650dbf39ab7fbec3d58c0bbed058741d10eecad9cb37885d

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T14:42:00.856705Z digest=sha256:00ae3c3d08d4b666aa03b5c5604ab2010f4de66439c260a8db67901bf5f0d0f2

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 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T05:43:04.813867Z digest=sha256:1bef732b99ad043566e6935ec19364639c7a3b20e35be5413793a8abe76009ef

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.

source=arxiv_source observed=2026-08-01T10:29:16.199113Z digest=sha256:9f5c325b11eb0a749600cd62f2d6cd693ee29c9b6c67f55164909f2d155c70ba