Paper Citation Record · LEDGER

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 2 inbound Pith citation observations for arXiv:2604.25370.

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

pith.paper-citation-record.v1
2604.25370 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T03:26:08.019047Z

measured 22 of 22 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T23:08:04.478121Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

verified exact6
verified fuzzy14
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 32dc952f-221b-488d-bc96-873151e34cb4 · outbound

This paper cites DiffusionDB: A large- scale prompt gallery dataset for text-to-image gen- erative models.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment DiffusionDB: A large- scale prompt gallery dataset for text-to-image gen- erative models

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.089429Z

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.

Observation a5ed2dc4-fabe-43c4-855e-46b77a712bc7 · outbound

This paper cites GenImage: A million-scale benchmark for detecting AI-generated image.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment GenImage: A million-scale benchmark for detecting AI-generated image

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.081343Z

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.

Observation 283b20ab-42b9-491a-a605-1ed8b5cddbe5 · outbound

This paper cites LAION-5b: An open large-scale dataset for train- ing next generation image-text models.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment LAION-5b: An open large-scale dataset for train- ing next generation image-text models

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.092438Z

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.

Observation 5b1f69ab-b359-45c6-b77b-a532e2b3933d · outbound

This paper cites GPT4o-Receipt: A dataset and human study for AI-generated document forensics.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment GPT4o-Receipt: A dataset and human study for AI-generated document forensics

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.077941Z

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.

Observation 8a9e9d38-f662-425a-b7f6-3be0a0cba108 · outbound

This paper cites CNN-generated images are surprisingly easy to spot... for now.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment CNN-generated images are surprisingly easy to spot... for now

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.084277Z

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.

Observation b057c445-bb2b-4222-acef-f724824eabe4 · outbound

This paper cites Are GAN generated images easy to detect? A critical analysis of the state-of-the-art.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Are GAN generated images easy to detect? A critical analysis of the state-of-the-art

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.098720Z

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.

Observation feff195c-072b-4eaf-aedd-b7b0bc535a55 · outbound

This paper cites How well are open sourced AI-generated image detection models out-of- the-box: A comprehensive benchmark study.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment How well are open sourced AI-generated image detection models out-of- the-box: A comprehensive benchmark study

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:23.148271Z

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.

Observation 6a5a1201-5982-4e47-b280-e9848785b9a9 · outbound

This paper cites Ar- tificial fingerprinting for generative models: Rooting deepfake attribution in training data.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Ar- tificial fingerprinting for generative models: Rooting deepfake attribution in training data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.050250Z

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.

Observation e9ff518d-52eb-4183-a85d-8b6820cae9e4 · outbound

This paper cites Can Multi-modal (reasoning) LLMs work as deepfake detectors?.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Can Multi-modal (reasoning) LLMs work as deepfake detectors?

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:23.231422Z

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.

Observation 51509007-9611-4399-9342-0267b3139487 · outbound

This paper cites C2PA technical specification, version 2.1.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment C2PA technical specification, version 2.1

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.057713Z

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.

Observation d9744f7a-eb64-4555-a130-51e2beb5ab8e · outbound

This paper cites Do deepfake detectors work in reality?.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Do deepfake detectors work in reality?

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.104757Z

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.

Observation 53ed7670-98b1-4ab3-8568-ad6acd2ea2fd · outbound

This paper cites Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Synthetic Politics: Prevalence, Spreaders, and Emotional Reception of AI-Generated Political Images on X

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-14T02:22:28.110238Z

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.

Observation 52ae5939-319a-4995-bedc-5e5e3bf6db48 · outbound

This paper cites Examining the prevalence and dynamics of AI-generated media in art subreddits.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Examining the prevalence and dynamics of AI-generated media in art subreddits

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:23.119964Z

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.

Observation bf1183ce-efff-46b8-9602-aad3c6d233c1 · outbound

This paper cites AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment AMMeBa: A Large-Scale Survey and Dataset of Media-Based Misinformation In-The-Wild

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:06:23.243136Z

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.

Observation 3da4d7f4-68e1-4c14-a500-231e3ce32fd5 · outbound

This paper cites Twitter API v2 documentation: Recent search endpoint.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Twitter API v2 documentation: Recent search endpoint

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.055092Z

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.

Observation 09e54ca9-0314-4577-a0da-71db0c165bc5 · outbound

This paper cites GPT-image-2: Our most capable image generation model.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment GPT-image-2: Our most capable image generation model

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.052642Z

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.

Observation b52527e2-0cda-4bce-8005-e62bdb1e5229 · outbound

This paper cites Labels for AI-generated media on X.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Labels for AI-generated media on X

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.086862Z

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.

Observation d4339b95-6693-438e-82d7-9a63f4c23ee1 · outbound

This paper cites Learning transferable visual models from natural language su- pervision.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Learning transferable visual models from natural language su- pervision

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.095365Z

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.

Observation 8ba7b4a4-9aff-4862-a16a-6258c20c5eef · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-11T22:06:23.074356Z

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.

Observation 41492eb2-56ed-4f98-ac0b-162a2b0eee17 · outbound

This paper cites Density-based clustering based on hierarchical den- sity estimates.

GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment Density-based clustering based on hierarchical den- sity estimates

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T22:03:07.102058Z

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.

Pith citing papers

Observation f555e71d-3569-432f-a00d-e071b9e147de · inbound

Physics-aware Masked Diffusion-based Flood Simulation for Urban Fisheye Disaster Detection cites this paper.

Physics-aware Masked Diffusion-based Flood Simulation for Urban Fisheye Disaster Detection GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T23:08:04.478121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4bc407-218b-43c2-adc2-07edff12b7e8 · inbound

Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection cites this paper.

Veritas++: Value-aware On-Policy Distillation for Perception-Enhanced AIGI Detection GPT-Image-2 in the Wild: A Twitter Dataset of Self-Reported AI-Generated Images from the First Week of Deployment

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-30T11:00:39.164497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.