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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T03:31:58.848180Z digest=sha256:6871bef0cdd3180a656f6ec6df3d0ae607a23162379019b028ef0e1c04d5688a

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.

source=pdf_text observed=2026-08-06T18:40:05.755069Z digest=sha256:b19ec96607daa78411c5e101e8aa7648fc40c0ee88cdc47fb26f9389c16be3ae

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.

source=pdf_text observed=2026-08-04T00:31:33.866776Z digest=sha256:c648c780d24b433ca3f5e5854f7b729f860a2cde61086e140b12e115914ced36

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T14:33:11.033906Z digest=sha256:1b50c4f04c74591d40e4d96080d36caddcaddf4338346f5f21cb3da08693a548

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T09:45:05.825373Z digest=sha256:40cf541ad90d33448baf4f03cd8b9f777f01f1c0ccd1f707610d9994813a5717

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T16:24:03.231930Z digest=sha256:ffc0655e8c30108aaaeb5d0e718e7854b0978a85ea7b6b12a1619ea0b8306ebd