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Paper Citation Record · LEDGER

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:15:59.509016Z

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-16T15:37:25.781240Z digest=sha256:ec39713e553f05cd3a1cc839cc5350b6bb7162cd67768c64ebf0f5807100a86a

Observation 1b209338-9bca-493a-b155-97f7dfc1a268 · inbound

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems cites this paper.

RAG Playground: A Framework for Systematic Evaluation of Retrieval Strategies and Prompt Engineering in RAG Systems RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T14:15:59.509016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:15:59.509016Z digest=sha256:79661214f299b7c81de2664d7273195e46942673ed7e960d61cce463d5febca9

Observation 1fa946bf-29e7-45e1-a7c9-42def267ce02 · inbound

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation cites this paper.

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T17:47:46.205247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:47:46.205247Z digest=sha256:f3f64a2fab353390d73d3b96963b8671cd812c9a36feda120756e2bdd51aaa75

Observation f0639b5d-90d2-4819-9015-c577a8ec2ade · inbound

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation cites this paper.

MRAMG-Bench: A Comprehensive Benchmark for Advancing Multimodal Retrieval-Augmented Multimodal Generation RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-08T23:20:01.200856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T23:20:01.200856Z digest=sha256:71b53d92816a7236c73d7f2102373826ff4b2fc6c8b77509879431689226d239

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=sha256:1890168337c57be77639dcd38ae893bde07488df11cc8d4d4d1dc3bd805c64bc

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=sha256:7d87bbd451c660db446060f3ef70574073c7bf1f466aa4c2280a0e339adaa930

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:c7988e5921f242b10ddf0f5e8f75c170bf7aa0baa72021f61d97885710112f1d

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=sha256:2d29308b6bc1f4a23f4644855a0a6ebe561063ab833464cdc82b0c2627352bda

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-08T16:17:38.206203Z digest=sha256:921ba51f94d00564be4de72d059e37307821066ce7aac8dbe8b0af8ba000d64f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T03:04:39.253429Z digest=sha256:3fccd55488407419e4452057865c746e101f9868bc9b9de700c82b8ad5f42c65

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=sha256:1f6417467b77f214a1fa9e9226ffdeb704ea30147a11eb321587b954027cae51

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=sha256:5400f21ac7c89566e75469c174e984166950c8746415be24b7d22554d36f2b64