Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2203.07190.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T17:47:23.709123Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T09:50:00.732703Z
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 1dc487ff-e6c1-4cc3-99e6-44a31205782b · inbound
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language cites this paper.
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T09:50:00.734828Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f4bf2ebf-9f7f-49f2-8a34-66c2ce042822 · inbound
(Almost) Free Modality Stitching of Foundation Models cites this paper.
(Almost) Free Modality Stitching of Foundation Models CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:47:23.709123Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b20cc5d5-8999-419f-b50d-de5067b26b04 · inbound
Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval cites this paper.
Sparse and Dense Retrievers Learn Better Together: Joint Sparse-Dense Optimization for Text-Image Retrieval CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:25:01.024416Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 56c330f5-d58b-42c0-a4f4-b76187d16700 · inbound
O$^3$Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation cites this paper.
O$^3$Afford: One-Shot 3D Object-to-Object Affordance Grounding for Generalizable Robotic Manipulation CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:55:43.175206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 849ce55d-f81e-411d-a613-d97ed986faaf · inbound
WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval cites this paper.
WRF4CIR: Weight-Regularized Fine-Tuning Network for Composed Image Retrieval CLIP Models are Few-shot Learners: Empirical Studies on VQA and Visual Entailment
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T22:50:50.089156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.