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Paper Citation Record · LEDGER

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.01262.

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

pith.paper-citation-record.v1
2408.01262 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:31:30.360066Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T15:37:25.870205Z

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 b6f526da-3ded-4886-8e90-bb34ebfe8bbf · inbound

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents cites this paper.

VisRAG: Vision-based Retrieval-augmented Generation on Multi-modality Documents RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:37:25.872462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T15:37:25.781240Z digest=sha256:1d5c69559322ad878fd2bdf78c4df4018a331e090d9f2eaf8bc87b567fd8ec90

Observation 996f21e1-6a32-43bb-8c68-ba8da94f77f2 · inbound

AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa cites this paper.

AI-Driven Climate Policy Scenario Generation for Sub-Saharan Africa RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-07T14:31:30.360066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:31:30.360066Z digest=sha256:83f7fe5af55b6c7878684442d846906394db7c42089476d68e566b8737a8a086

Observation 7a95e756-72b9-4005-8208-a79b4acd093f · inbound

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data cites this paper.

Unlocking the Potential of Large Language Models in the Nuclear Industry with Synthetic Data RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T05:05:37.388116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:05:37.388116Z digest=sha256:4d9ef4a44d5114aaa10aa8a9e45b4a2ce047e1e8264964a5de8774f54415db8d

Observation 03326a43-b393-471b-8fde-f2e62aaaa982 · inbound

Benchmarking Vector, Graph and Hybrid Retrieval Augmented Generation (RAG) Pipelines for Open Radio Access Networks (ORAN) cites this paper.

Benchmarking Vector, Graph and Hybrid Retrieval Augmented Generation (RAG) Pipelines for Open Radio Access Networks (ORAN) RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:30.970018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:30.970018Z digest=sha256:0534de3c44e50d2df3988c6a0229d020327b2ae01d71ff3faa96d8a88d6a2fe7

Observation 825b2d9e-1750-4537-8cc2-a6e3fe9e482e · inbound

DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence cites this paper.

DeepTRACE: Auditing Deep Research AI Systems for Tracking Reliability Across Citations and Evidence RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T12:11:34.278284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:11:34.278284Z digest=sha256:fb6219d4a3c437e07c1b639b80bc3bb474852853cd4a1405b9c9cafa479f4e43

Observation e2e744e1-562c-423a-b6a2-c6a3b961bbfd · inbound

Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs cites this paper.

Privacy Without Losing Place: A Paradigm for Private Retrieval in Spatial RAGs RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:21:06.786882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:17:38.206203Z digest=sha256:4bb25919847040143ea45f287b24bc8c303050a593fedb8efd46739d189cf8d9

Observation ba793fcb-d397-426e-ac31-bd34ee142d4f · inbound

Generating Leakage-Free Benchmarks for Robust RAG Evaluation cites this paper.

Generating Leakage-Free Benchmarks for Robust RAG Evaluation RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:06:18.944380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T03:04:39.253429Z digest=sha256:0888c7f6ebbbede770ce440d670f03dbdfef8d06fbf8384818484b3b2f50bdc9

Observation 737c4211-fa86-47b8-9714-89b6ab75d3db · inbound

RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language Models cites this paper.

RAG-TESTER: Automated End-to-End Testing of Retrieval-Augmented Large Language Models RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-04T01:34:36.613034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T01:34:36.613034Z digest=sha256:e4db886105a41c32abe4b753c67d4123b956d84da4f6278645a4e6874af23d11

Observation 5de6b449-3262-47e9-8530-34a91e0423df · inbound

RAG-Stack: Co-Optimizing RAG Serving Performance and Quality cites this paper.

RAG-Stack: Co-Optimizing RAG Serving Performance and Quality RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-05T18:13:18.687070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T18:13:18.687070Z digest=sha256:aaec6740a37bd8ecda49d77b1b10416939bc2811b8ffdce476fdf11cf825d921