Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.05138.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-03T21:20:00.041277Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T21:28:58.416782Z
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 e9cef477-0999-43b8-9945-d39ee2476c0a · inbound
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.
Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T04:32:32.535534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 66d59026-1eb5-41c2-9506-425f5a1dec6e · inbound
ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models cites this paper.
ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T07:26:03.052573Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation eddba273-163d-4144-a3d7-c44943b8d092 · inbound
ESC: Emotional Self-Correction for Reliable Vision-Language Models cites this paper.
ESC: Emotional Self-Correction for Reliable Vision-Language Models SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T21:28:58.419001Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.