Paper Citation Record · LEDGER

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2502.09573.

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

pith.paper-citation-record.v1
2502.09573 v3

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:03:13.329200Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

24 of 24 outbound references displayed

verified exact2
verified fuzzy4
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de2ca75f-24bb-4753-b803-a9624a78f9df · outbound

This paper cites GPT-4 Technical Report.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering GPT-4 Technical Report

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.196965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1624cbe1-9f77-4ade-bdfd-9f68932708a3 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Flamingo: a visual language model for few-shot learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.203362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ddb77f4-17e0-45ba-b278-4f49f0224a65 · outbound

This paper cites OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.209644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3f95510-baa5-443b-9ed1-d0c4c216c43a · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.216250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67d1ec17-df35-401b-844b-1cc8ae526129 · outbound

This paper cites A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:03:17.669138Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 17e20f24-31b8-4b5c-8da7-44d4284838d7 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.228207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db718e0c-6c29-4e3f-9505-7265c13a891c · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.234882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 789aac87-32e9-4c96-934a-497f7fa53db5 · outbound

This paper cites Deep residual learning for image recognition.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Deep residual learning for image recognition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.241015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 090a0efb-7a03-4b0e-89fe-23ca011b8ccd · outbound

This paper cites H., Zhang, P., Zhang, H., Yang, J., Li, C., Zhong, Y., Wang, L., Yuan, L., Zhang, L., Hwang, J.-N., et al.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering H., Zhang, P., Zhang, H., Yang, J., Li, C., Zhong, Y., Wang, L., Yuan, L., Zhang, L., Hwang, J.-N., et al

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.246481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation face6fb8-7606-4124-98d4-77ae618e30fa · outbound

This paper cites an unresolved cited work.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.251781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0bc587c-2b28-4d79-ad1a-0651955a31b0 · outbound

This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.257128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c85518da-c75f-43c9-ab7e-5cb99c1ad88f · outbound

This paper cites Openai official api documentation, 2025.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Openai official api documentation, 2025

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:03:17.873073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f802c8c8-efde-455f-a883-d7b3fb7cf566 · outbound

This paper cites J., Mahmud, A., Sobuj, M.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering J., Mahmud, A., Sobuj, M

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:03:17.852117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 45ade3e0-9fd1-444f-aeac-847b27b071e8 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.273301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c7641b8-503c-4d55-ab5d-42edf16a08e7 · outbound

This paper cites Will the \ 1 trillion of generative ai investment pay off?, 2024.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Will the \ 1 trillion of generative ai investment pay off?, 2024

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:03:17.798891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 631c7893-09fa-4324-a0d3-12c3c8e99927 · outbound

This paper cites Video understanding with large language models: A survey.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Video understanding with large language models: A survey

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.283982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6fdfcdf-b3b3-4dc0-9a83-71a1ed37e48a · outbound

This paper cites PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning Methods

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.289380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be6885a3-3740-4ae4-bd0e-13f3421c0db6 · outbound

This paper cites Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T21:03:13.409766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff8f4093-4c2c-4c11-8553-c46bc9b15223 · outbound

This paper cites and Nawaz, T.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering and Nawaz, T

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T21:03:17.780330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 43e1c9d8-a0fa-4e48-878b-a258b5620dc3 · outbound

This paper cites Fine-tuning Large Language Models for Domain-specific Machine Translation.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.306086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64a935d5-5239-436a-aaaa-507bab5120fd · outbound

This paper cites write newline.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering write newline

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.311663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56d84102-f72a-4a7e-b68f-f0a97fef3345 · outbound

This paper cites @esa (Ref.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering @esa (Ref

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.318053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 955c383f-d17d-4541-a83a-83e4be449b2a · outbound

This paper cites an unresolved cited work.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.323649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f342397-317a-445a-b690-75ab64be3803 · outbound

This paper cites DriveLM: Driving with Graph Visual Question Answering.

Optimizing GPT for Video Understanding: Zero-Shot Performance and Prompt Engineering DriveLM: Driving with Graph Visual Question Answering

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T21:03:13.329200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.