Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.07116.
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 2026-08-12T21:07:09.831974Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T06:20:36.583857Z
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 6a34a8ee-5816-42cc-815c-895420102b0c · inbound
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models cites this paper.
mPLUG-Owl3: Towards Long Image-Sequence Understanding in Multi-Modal Large Language Models Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs
Reference 269
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T06:20:36.585666Z
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 481d6df3-0466-4a50-8f54-abb673b320a3 · inbound
VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models cites this paper.
VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T21:07:09.831974Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e48cb10a-9b76-4069-8368-cd715eb690bc · inbound
DistortBench: Benchmarking Vision Language Models on Image Distortion Identification cites this paper.
DistortBench: Benchmarking Vision Language Models on Image Distortion Identification Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:53:29.679478Z
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 83dc230f-dc2d-42e5-8586-b04281098f5c · inbound
SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation cites this paper.
SVGEval: A Vision-Grounded Framework for Perceptual-Quality Benchmarking and Evaluation in Text-to-SVG Generation Q-Bench+: A Benchmark for Multi-modal Foundation Models on Low-level Vision from Single Images to Pairs
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T17:29:19.235889Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.