Paper Citation Record · LEDGER

VERA: Validation and Evaluation of Retrieval-Augmented Systems

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.03759.

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

pith.paper-citation-record.v1
2409.03759 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:40:41.804613Z

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 c35cc5a7-27c8-4b08-b36b-ce8fd7a33e9b · inbound

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey cites this paper.

Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey VERA: Validation and Evaluation of Retrieval-Augmented Systems

Reference 97

Resolution: unresolved; no resolver link, observed 2026-08-16T11:40:41.804613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba24deba-a572-403b-9415-aa5f05bded64 · 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 VERA: Validation and Evaluation of Retrieval-Augmented Systems

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T05:52:50.548589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf90785-6c8c-492a-8acf-d7acd3e88a2c · inbound

A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents cites this paper.

A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents VERA: Validation and Evaluation of Retrieval-Augmented Systems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:30:19.529449Z

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.

Observation 4c7867c0-5356-4876-b8a5-aacf564aa24a · 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 VERA: Validation and Evaluation of Retrieval-Augmented Systems

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T04:04:47.594686Z

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.