Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2404.07917.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T04:51:24.158748Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T07:24:22.455772Z
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 d058a4ae-5b2b-47ae-acef-e28c00323de8 · inbound
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability cites this paper.
An Empirical Exploration of ChatGPT's Ability to Support Problem Formulation Tasks for Mission Engineering and a Documentation of its Performance Variability DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T04:51:24.158748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b002c71-6612-46cb-a20c-668282d5a5c4 · inbound
Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes cites this paper.
Trust at Your Own Peril: A Mixed Methods Exploration of the Ability of Large Language Models to Generate Expert-Like Systems Engineering Artifacts and a Characterization of Failure Modes DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Reference 76
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T21:21:31.564223Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2dc38b30-a0fb-4fa8-ac2a-d90db494ad1d · inbound
LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents cites this paper.
LLM-Guided Planning for Multi-hop Reasoning over Multimodal Nuclear Regulatory Documents DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Reference 4
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T07:24:22.457477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2bee8ed8-15a9-4efa-b8bf-44ce3ac0f99f · inbound
DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction Drawings cites this paper.
DrawingVQA: A Real-World Benchmark for Multi-Depth Visual-Textual Reasoning on Construction Drawings DesignQA: A Multimodal Benchmark for Evaluating Large Language Models' Understanding of Engineering Documentation
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T23:29:00.582559Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.