Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T03:26:08.019047Z
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 3 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.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T23:08:04.478121Z
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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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.