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Paper Citation Record · LEDGER

Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2402.01733.

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

pith.paper-citation-record.v1
2402.01733 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:13:26.904931Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:26:48.106154Z

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 ce205edd-6c32-4cdd-bcec-cbda5f2c3f35 · inbound

FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data cites this paper.

FathomGPT: A Natural Language Interface for Interactively Exploring Ocean Science Data Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T23:10:13.301660Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:10:13.301660Z digest=sha256:f6fdd7ab036564d47038f65b805997d3cbbed1f658869121da8969bfbbf3c6b7

Observation c44b55c9-38b6-4d46-be94-11b70786325c · inbound

AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles cites this paper.

AlzheimerRAG: Multimodal Retrieval Augmented Generation for Clinical Use Cases using PubMed articles Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-11T10:25:34.410604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:25:34.410604Z digest=sha256:c873a1a73ca3bfd61811b9164d5421d80e036ca5cb659a5deff82c4b5be19f94

Observation ce486ff9-e3cf-4d72-949a-f0196f90d40c · inbound

An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis cites this paper.

An AI-Driven Live Systematic Reviews in the Brain-Heart Interconnectome: Minimizing Research Waste and Advancing Evidence Synthesis Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T14:43:18.041486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:43:18.041486Z digest=sha256:d8e0475ccb1451b8838144f421537048208a3ae3ac186a79faa3e04f3398ea82

Observation 0384c166-d961-4834-aa55-d24f0b6a8f77 · inbound

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action cites this paper.

Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T13:58:43.532957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:58:43.532957Z digest=sha256:b4efd2af02623bbb88512f3c18cbcacde31271154988def43646e8f92e470e35

Observation 8e4c1b5e-c404-44ce-b9bf-37c0b2f87612 · inbound

Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs cites this paper.

Improving TCM Question Answering through Tree-Organized Self-Reflective Retrieval with LLMs Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T22:32:35.961389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T22:32:35.961389Z digest=sha256:a9fb2c36b1ee7570574ca73ab6a694790ea7f3fd78f769c4a28e22171ca05e2f

Observation e728b4f7-aa6a-4925-9b12-cd09170c0d3a · inbound

Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA cites this paper.

Talk Before You Retrieve: Agent-Led Discussions for Better RAG in Medical QA Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T05:13:26.904931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:13:26.904931Z digest=sha256:d33492ca529bb057d5690525e9907a08cb0bf10580c27538ae9292c74d7bebb5

Observation fd923c07-34dd-4cab-ae8e-3e618ca7096e · inbound

Can Large Language Models Match the Conclusions of Systematic Reviews? cites this paper.

Can Large Language Models Match the Conclusions of Systematic Reviews? Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T13:05:42.369820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:05:42.369820Z digest=sha256:66f6bbbbe0991d55fd5acb0cdb36858303a0b05bb0b41ef490fc032ffb6fe49f

Observation 08ba1cd3-950d-42fc-9f4d-cce099b5513e · inbound

RAG-based Architectures for Drug Side Effect Retrieval in LLMs cites this paper.

RAG-based Architectures for Drug Side Effect Retrieval in LLMs Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T16:19:07.653725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:19:07.653725Z digest=sha256:147c93a154c90fb14590c399f8af3ece195fc9da4d927d9a1f54146cd7373592

Observation ab306ac0-34cd-4940-a782-77872f1a5cfb · inbound

FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support cites this paper.

FHIR-RAG-MEDS: Integrating HL7 FHIR with Retrieval-Augmented Large Language Models for Enhanced Medical Decision Support Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-04T21:52:08.925527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T21:52:08.925527Z digest=sha256:9f9c0f2882427d6e202c13d50696bf5f8255618a201c2d9e337f78f0ef8a5047

Observation bb808596-f808-4154-958c-edcf0434bb2b · inbound

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison cites this paper.

Ten Headache Specialists versus Artificial Intelligence for Clinical Literature Summarization: A Critical Evaluation and Comparison Development and Testing of Retrieval Augmented Generation in Large Language Models -- A Case Study Report

Reference 139

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:26:48.107578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-28T06:03:59.798126Z digest=sha256:799d3986510f3b7116ec9944dd015f15a3aebd45375a56c9e87aadff7b1ced8b