Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.00102.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:47:36.501713Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation d5e46ce7-8f0b-4f88-ad67-c6ba6d2ab77d · inbound
AITEE -- Agentic Tutor for Electrical Engineering cites this paper.
AITEE -- Agentic Tutor for Electrical Engineering ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:47:36.501713Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7db6e989-007d-4731-a2ae-6bada9477752 · inbound
MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science cites this paper.
MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T10:00:42.679447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8887cb97-1cd6-401f-9874-00fa146e8dc7 · inbound
Surveying GenAI-based Automation in Printed Circuit Board Design and Test cites this paper.
Surveying GenAI-based Automation in Printed Circuit Board Design and Test ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?
Reference 74
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T08:20:45.343688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6728cb99-6816-4acf-bb61-47ffa70bb791 · inbound
SPARC: A Multi-Agent System for Electrical Circuit Question Answering cites this paper.
SPARC: A Multi-Agent System for Electrical Circuit Question Answering ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T18:57:17.105716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cb95fd99-8716-4c24-bad8-0190ab4db19d · inbound
PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset cites this paper.
PCB-QA: Evaluating LLMs over the First Printed Circuit Board Design Question-Answer Dataset ElectroVizQA: How well do Multi-modal LLMs perform in Electronics Visual Question Answering?
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T08:20:44.905565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.