Paper Citation Record · LEDGER

GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2311.15732.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2311.15732 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:40:05.755069Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T10:58:03.231063Z

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 826a6fe7-d061-4eea-a7dc-4ebe75528ed0 · inbound

RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition cites this paper.

RAR: Retrieving And Ranking Augmented MLLMs for Visual Recognition GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:33:50.832161Z

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 474ee05f-1a67-4e16-a74a-a61ffdace94f · inbound

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap cites this paper.

Prompt Engineering for Requirements Engineering: A Literature Review and Roadmap GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:05.755069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94ec8362-a827-4be2-8053-8eff28f4fa12 · inbound

Med-Banana: Learning Quality-Controlled Medical Image Editing from Success-and-Failure Trajectories cites this paper.

Med-Banana: Learning Quality-Controlled Medical Image Editing from Success-and-Failure Trajectories GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-04T00:31:33.866776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6912896-1763-4bd8-9b73-57331bda05bd · inbound

Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid cites this paper.

Structural Ranking of the Cognitive Plausibility of Computational Models of Analogy and Metaphors with the Minimal Cognitive Grid GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:56:06.236911Z

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 62ff670b-32be-4c19-90eb-df2e4295123c · inbound

I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System cites this paper.

I Understand How You Feel: Enhancing Deeper Emotional Support Through Multilingual Emotional Validation in Dialogue System GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T10:58:03.232508Z

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 1c1005d0-27b7-4d54-ab16-734def715d35 · inbound

AdaBoosting Text Prompts for Vision-Language Models cites this paper.

AdaBoosting Text Prompts for Vision-Language Models GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:27:08.312103Z

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.