Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2406.15187.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:52:50.534038Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T17:11:49.678215Z
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 a8ddb33b-aa75-41de-a124-37285b32d246 · inbound
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation cites this paper.
OCR Hinders RAG: Evaluating the Cascading Impact of OCR on Retrieval-Augmented Generation UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:21:41.969320Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c3ef1f8-77ff-4c04-a5fc-e60e00bb6253 · 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 UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:52:50.534038Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 204b98ba-3fe3-47f2-9d09-e11b896d511e · inbound
EnronQA: Towards Personalized RAG over Private Documents cites this paper.
EnronQA: Towards Personalized RAG over Private Documents UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:51:30.079347Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ac38e64-3020-4c0e-8136-61c86d5c3c5a · inbound
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments cites this paper.
Document Retrieval Augmented Fine-Tuning (DRAFT) for safety-critical software assessments UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T17:11:49.681835Z
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 c2a5ce98-c1a2-4af9-825b-8db31a04df15 · inbound
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.
Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Reference 40
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T05:18:23.225384Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc40964e-1550-4d09-b463-3499dcb808a3 · inbound
Structured Attention Matters to Multimodal LLMs in Document Understanding cites this paper.
Structured Attention Matters to Multimodal LLMs in Document Understanding UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:47:38.127865Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 736474e3-8dfe-4d8b-9733-8e6040945a0f · inbound
You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation cites this paper.
You Snooze, You Lose: Automatic Safety Alignment Restoration through Neural Weight Translation UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-world Document Analysis
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:51:08.398686Z
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.