Paper Citation Record · LEDGER

Evaluating Retrieval Quality in Retrieval-Augmented Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2404.13781.

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

pith.paper-citation-record.v1
2404.13781 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 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:48.871353Z

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 d83f4f21-7e31-4bbc-b441-c5d07fbe2cf2 · inbound

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models cites this paper.

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models Evaluating Retrieval Quality in Retrieval-Augmented Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-16T11:38:48.871353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 433b7aa9-45aa-446f-aee8-a5d9bcb1e677 · inbound

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets cites this paper.

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets Evaluating Retrieval Quality in Retrieval-Augmented Generation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:50.349252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d44ecd0f-2efa-4bda-9d56-d88134b406a0 · inbound

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering cites this paper.

MultiFinRAG: An Optimized Multimodal Retrieval-Augmented Generation (RAG) Framework for Financial Question Answering Evaluating Retrieval Quality in Retrieval-Augmented Generation

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:22:09.155475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7c235b7a-505f-4ec8-a4dc-12f58c4520ec · inbound

VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization cites this paper.

VizCopilot: Fostering Appropriate Reliance on Enterprise Chatbots with Context Visualization Evaluating Retrieval Quality in Retrieval-Augmented Generation

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:11:04.055175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9aa5cf31-d302-4f8b-b1ad-ffa02a6f188f · inbound

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation cites this paper.

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation Evaluating Retrieval Quality in Retrieval-Augmented Generation

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:17:40.163071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 1a96a36c-c111-4ee6-b3c1-eb278f18e485 · inbound

Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies cites this paper.

Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies Evaluating Retrieval Quality in Retrieval-Augmented Generation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-10T04:04:47.577367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ca31587e-4b4b-4563-92cc-3ee05a7d50f3 · inbound

VArify: A Visual Analytics System for Verifying Knowledge Enhanced Large Language Model Responses in Food Science cites this paper.

VArify: A Visual Analytics System for Verifying Knowledge Enhanced Large Language Model Responses in Food Science Evaluating Retrieval Quality in Retrieval-Augmented Generation

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-07-03T03:47:35.638668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.