Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:50:31.971137Z
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 14 inbound Pith citation observations for arXiv:2501.12789.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-10T16:50:31.971137Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T04:21:17.986579Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
33 of 33 outbound references displayed
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
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Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 1
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Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Bruce Croft, and Mark Sanderson
Reference 2
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Reference 3
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Observation 97601230-fdb7-4e57-8892-f6b61a54107e · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 4
Source-reported events for the cited work
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Observation 06042794-c30f-453b-96b8-5d073a4e2e02 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 5
Source-reported events for the cited work
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Observation d520adff-8f74-4a6b-b701-848aa283ba6f · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems
Reference 6
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Observation 4c8938f2-c196-4673-9504-ea9b0ef79c61 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 7
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Observation ab91599d-a467-4f97-a63b-0bd2dccf4160 · outbound
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Reference 8
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Observation dae1d3b3-5fd7-4b42-9040-597a8be8331b · outbound
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Reference 9
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Observation 0e3d6bd9-0d63-45be-8a1c-07f82a3a5177 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana In Proceedings of the 29th International Conference on Computational Linguistics
Reference 10
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Observation eebd5952-9a74-466c-b425-f4785f01a2d1 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 11
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Observation 405dfd24-c6df-47fd-9b5b-8ef196634248 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 12
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Observation 92e532c3-5de0-43c7-b5f6-24d7614bc45e · outbound
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Reference 13
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Observation 7a338cbc-8ed3-4abb-8065-2493ee205e38 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Retrieval-Augmented Generation for Large Language Models: A Survey
Reference 14
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Observation e4b358b4-8d2c-46c2-903a-427bdcd0e923 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 15
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Observation b3cfe8cb-b812-4bb2-8f1a-8e4e2eb04787 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov
Reference 16
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Observation bd007a22-2ec0-48a0-9ad4-0a378d3f9fe0 · outbound
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Reference 17
Source-reported events for the cited work
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Observation dc4d6441-9cd7-447b-9d05-d97377dbc35c · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation ae3e12a7-8e94-4bc5-9be9-89481669c623 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 19
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Observation 1590df76-5164-4676-bc85-b8fcc3afd0a2 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 20
Source-reported events for the cited work
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Observation d478ca5f-1ffc-4886-b0fd-ddb0d1e345c1 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 21
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Observation 883f4fe9-32d5-4585-9735-ead0e89fa499 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 22
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Reference 23
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Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 24
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Reference 25
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Observation 15a1018e-6e04-4a85-a2b2-f3eca24ae5fa · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Siu, Byron C
Reference 26
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Observation 368fcee1-ccf1-40c5-a6a4-6133c0492a3c · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
Reference 27
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Observation 4e4cf7b5-f8d1-4e80-bb20-8f193979549e · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 28
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Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 29
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Observation 391b219a-c471-4458-86a1-e9529f6eea8a · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana OmniEval: An Omnidirectional and Automatic RAG Evaluation Benchmark in Financial Domain
Reference 30
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Observation 77020bfa-db0a-4c0c-9035-5ccf21cee5b0 · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 31
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Observation d8f0475e-6f45-4e80-8b6f-f352ceb425ab · outbound
Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana Unresolved cited work
Reference 32
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Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana In International Conference on Machine Learning
Reference 2022
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Reference 18
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Reference 11
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Observation 62abce57-4db8-4f88-8a99-f22e16f9e490 · inbound
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Reference 2
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Observation 1327db2c-db04-4e52-afed-8af4b0d4565b · inbound
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Reference 6
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Reference 64
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Reference 31
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How Fine-Grained Should a RAG Benchmark Be? A Hierarchical Framework for Synthetic Question Generation Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana
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