Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2210.08773.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T18:11:54.491641Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T07:25:28.419990Z
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 3c1f6acb-6bf3-4fcc-ac9f-1485723f535a · inbound
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models cites this paper.
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T20:37:01.977401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 38a70ab9-d8cb-4f4f-afd1-4c0e5a1b75f7 · inbound
The ART of Composition: Attention-Regularized Training for Compositional Visual Grounding cites this paper.
The ART of Composition: Attention-Regularized Training for Compositional Visual Grounding Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T07:25:28.422147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 525e4b92-0071-41d0-89d7-dcc4583a17f6 · inbound
How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey cites this paper.
How Vision-Language Tasks Benefit from Large Pre-trained Models: A Survey Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T18:11:54.491641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab912ef1-f131-4a1b-9d81-593c799b83d2 · inbound
Harnessing Large Language Models for Disaster Management: A Survey cites this paper.
Harnessing Large Language Models for Disaster Management: A Survey Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:52:41.277487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23cb99ee-bade-4bd4-b0ee-3bb7ff2ac78d · inbound
Large Models in Dialogue for Active Perception and Anomaly Detection cites this paper.
Large Models in Dialogue for Active Perception and Anomaly Detection Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:36:47.021721Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cdc83392-a7dd-44c7-aef0-d7180cef1400 · inbound
GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance cites this paper.
GC-KBVQA: A New Four-Stage Framework for Enhancing Knowledge Based Visual Question Answering Performance Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:21:45.111786Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33457ebf-634d-4ef1-b733-f6263fcfa8da · inbound
FREE: Fast and Robust Vision Language Models with Early Exits cites this paper.
FREE: Fast and Robust Vision Language Models with Early Exits Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:53:44.511807Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a6482387-ad91-4f2c-a910-881bb09f6f81 · inbound
All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding cites this paper.
All in One: A Unified Synthetic Data Pipeline for Multimodal Video Understanding Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T10:31:03.955460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.