Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2212.10846.
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 2026-08-07T14:21:43.879674Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T03:09:28.802623Z
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 630ed55b-bf23-42df-8260-7eec6608e69e · 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 From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:21:43.879674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04b2b58e-ca66-4e7a-bdaa-aac16d4c20bd · inbound
FREE: Fast and Robust Vision Language Models with Early Exits cites this paper.
FREE: Fast and Robust Vision Language Models with Early Exits From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:53:39.656550Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4fc63316-579d-4d72-b75f-f0573995ca15 · inbound
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning cites this paper.
Graph-MLLM: Harnessing Multimodal Large Language Models for Multimodal Graph Learning From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:33:14.806769Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68cc467b-e866-4d1c-8d2b-81fbeda7d526 · inbound
A Technical Taxonomy of LLM Agent Communication Protocols cites this paper.
A Technical Taxonomy of LLM Agent Communication Protocols From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T03:09:28.804944Z
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 f836a328-4786-499a-91fb-54c05f36e751 · inbound
SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models cites this paper.
SlimVLM: Sensitivity-aware Dynamic Structured Pruning with Adaptive Visual Token Selection for Efficient Vision-Language Models From Images to Textual Prompts: Zero-shot VQA with Frozen Large Language Models
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:41:28.793117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.