Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-07T13:43:29.519792Z
Paper Citation Record · LEDGER
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection
As of 4 August 2026, this Paper Citation Record lists 64 of 64 outbound references and 0 inbound Pith citation observations for arXiv:2604.26772.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
64 of 64 outbound references displayed
- verified exact6
- verified fuzzy57
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ba2775b2-87f4-4ea4-bb83-61bb9a58c03e · outbound
This paper cites Dualsight: Learning to disentangle artifact and semantic fea- tures for detection of diffusion-generated images.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Dualsight: Learning to disentangle artifact and semantic fea- tures for detection of diffusion-generated images
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.714617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f7bfe9c-8e4c-4d10-84c6-767fd6708f3f · outbound
This paper cites Flexivit: One model for all patch sizes.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Flexivit: One model for all patch sizes
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.655674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d555a1e7-cb7f-41c8-b4c7-d0aca50b2636 · outbound
This paper cites Megalith-10m: A dataset of public domain photographs.https://huggingface.co/ datasets / madebyollin / megalith - 10m.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Megalith-10m: A dataset of public domain photographs.https://huggingface.co/ datasets / madebyollin / megalith - 10m
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.658496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 6979c177-a45a-4c56-82a6-eab8916b183a · outbound
This paper cites Perception encoder: The best visual embeddings are not at the output of the net- work.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Perception encoder: The best visual embeddings are not at the output of the net- work
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.666192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9bfe3b2b-95b9-44af-9183-dc3fba15ae1a · outbound
This paper cites Image manipulation detection by multi-view multi-scale supervision.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Image manipulation detection by multi-view multi-scale supervision
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.668753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation d5834b7a-9a33-4ccb-afc6-ecb9d6a5e408 · outbound
This paper cites Xception: Deep learning with depthwise separable convolutions.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Xception: Deep learning with depthwise separable convolutions
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.646358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 48f6c3e6-bc15-4d4e-a15e-d5f5a4c08384 · outbound
This paper cites Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Patch n’pack: Navit, a vision transformer for any aspect ratio and resolution
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.652658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ffa5b08e-7b03-487b-a270-00d838b2ab35 · outbound
This paper cites Imagenet: A large-scale hierarchical image database.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Imagenet: A large-scale hierarchical image database
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.638019Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 76b8c671-ea14-41ae-b990-1b7ba91b5771 · outbound
This paper cites An image is worth 16x16 words: Trans- formers for image recognition at scale.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection An image is worth 16x16 words: Trans- formers for image recognition at scale
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.643013Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 562cd66e-2447-4639-bebd-a372826d1b19 · outbound
This paper cites PLG-ViT: Vision transformer with parallel local and global self-attention.Sensors, 23(7):3447.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection PLG-ViT: Vision transformer with parallel local and global self-attention.Sensors, 23(7):3447
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.671526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 58c73a59-0a63-423d-bbab-f984e69c07aa · outbound
This paper cites Scaling recti- fied flow transformers for high-resolution image synthesis.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Scaling recti- fied flow transformers for high-resolution image synthesis
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 67382d3c-05a5-451b-ab00-a5b92d91d3a5 · outbound
This paper cites Leveraging fre- quency analysis for deep fake image recognition.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Leveraging fre- quency analysis for deep fake image recognition
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.772233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3a95912a-f8ee-4362-84b8-20fa912bc552 · outbound
This paper cites Trufor: Leveraging all-round clues for trustworthy image forgery detection and localiza- tion.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Trufor: Leveraging all-round clues for trustworthy image forgery detection and localiza- tion
Reference 13
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 51b368f7-25cc-4236-b497-8d84467a1515 · outbound
This paper cites Deep residual learning for image recognition.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Deep residual learning for image recognition
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.787329Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5797d444-2f9d-40fe-b4e0-f87e08547637 · outbound
This paper cites Masked autoencoders are scal- able vision learners.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Masked autoencoders are scal- able vision learners
Reference 15
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b60451f9-37ff-4e9d-8fb1-92dac4dbd311 · outbound
This paper cites Lora: Low- rank adaptation of large language models.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Lora: Low- rank adaptation of large language models
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.792867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 7f3a1a55-644f-4280-ac5b-295db924b39a · outbound
This paper cites Progressive growing of gans for improved quality, stability, and variation.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Progressive growing of gans for improved quality, stability, and variation
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.798366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 11d6409f-f127-4962-86e0-78dd0081a697 · outbound
This paper cites A style-based generator architecture for generative adversarial networks.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection A style-based generator architecture for generative adversarial networks
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 70743b41-928b-4bae-bff2-73701f24cf9d · outbound
This paper cites Leveraging rep- resentations from intermediate encoder-blocks for synthetic image detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Leveraging rep- resentations from intermediate encoder-blocks for synthetic image detection
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 966f5a3d-7d52-4d06-92d9-3da72c4427ab · outbound
This paper cites Learning jpeg compression artifacts for image manipulation detection and localization.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Learning jpeg compression artifacts for image manipulation detection and localization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.760610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 39ddbb5c-35e8-4117-9fa7-b76fb8a9e8c2 · outbound
This paper cites Flux.https://github.com/ black-forest-labs/flux.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Flux.https://github.com/ black-forest-labs/flux
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.751709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation bb4fba4d-40a4-4e65-b6a0-f4b5587d607d · outbound
This paper cites FLUX.2: Frontier Visual Intelligence.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection FLUX.2: Frontier Visual Intelligence
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.748133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5d9e2dd4-0324-44f6-a3f0-4fe809e3f851 · outbound
This paper cites Detecting generated images by real im- ages.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Detecting generated images by real im- ages
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.754668Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 86c8f1d7-b55b-4b14-8912-6dec3f17acbb · outbound
This paper cites Spatial- phase shallow learning: rethinking face forgery detection in frequency domain.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Spatial- phase shallow learning: rethinking face forgery detection in frequency domain
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.757179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 053b2085-722e-4714-aea8-98f66f488dd5 · outbound
This paper cites Pscc-net: Progressive spatio-channel correlation network for image manipulation detection and localization.IEEE Trans- actions on Circuits and Systems for Video Technology.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Pscc-net: Progressive spatio-channel correlation network for image manipulation detection and localization.IEEE Trans- actions on Circuits and Systems for Video Technology
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.763589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3ba6a313-2a9a-45b5-954f-1a171a6ce96c · outbound
This paper cites Global tex- ture enhancement for fake face detection in the wild.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Global tex- ture enhancement for fake face detection in the wild
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.769467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation f8328d7e-8575-487d-bbb5-81ed9811e516 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Swin transformer: Hierarchical vision transformer using shifted windows
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.739042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 1b2f0b12-2a9b-4bab-acfe-43a39be3dfb9 · outbound
This paper cites Gener- alizing face forgery detection with high-frequency features.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Gener- alizing face forgery detection with high-frequency features
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.741817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2f1cc256-1a7c-402c-ad12-b55a326f8708 · outbound
This paper cites IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection IML-ViT: Benchmarking Image Manipulation Localization by Vision Transformer
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:51:23.990273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 575b0dfb-cb0e-49c2-b9a2-c63517098e5f · outbound
This paper cites Towards uni- versal fake image detectors that generalize across genera- tive models.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Towards uni- versal fake image detectors that generalize across genera- tive models
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.744975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation cc45ddf4-460d-4c10-8e30-e0bd593e493d · outbound
This paper cites DINOv2: Learning Robust Visual Features without Supervision.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection DINOv2: Learning Robust Visual Features without Supervision
Reference 31
- Resolution
- verified exact
- local_arxiv, observed 2026-05-12T08:51:23.994482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 772ffac2-95e1-489a-8ae3-d6ad02049599 · outbound
This paper cites Scalable diffusion models with transformers.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Scalable diffusion models with transformers
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.723230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e9e71246-4deb-4cf6-adac-d603497a679e · outbound
This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Sdxl: Improving latent diffusion models for high-resolution image synthesis
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.726185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 92bd785f-9137-40e6-b01a-b47b8333bde7 · outbound
This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.732647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ba1b44c9-a049-4a25-ab6f-a10b3f4c9e86 · outbound
This paper cites Learn- ing transferable visual models from natural language super- vision.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Learn- ing transferable visual models from natural language super- vision
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.717408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c23e6b2-2716-4c78-9b27-5c6c3f232f36 · outbound
This paper cites Sam 2: Seg- ment anything in images and videos.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Sam 2: Seg- ment anything in images and videos
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.720164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3eeaf519-08ff-4f69-8510-7e7d1e4566a9 · outbound
This paper cites Gen- erating diverse high-fidelity images with vq-vae-2.Neural Information Processing Systems (NeurIPS).
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Gen- erating diverse high-fidelity images with vq-vae-2.Neural Information Processing Systems (NeurIPS)
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.729233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 34777e2a-c324-4048-90b6-1b7e90995a08 · outbound
This paper cites High-resolution image syn- thesis with latent diffusion models.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection High-resolution image syn- thesis with latent diffusion models
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.736026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation dbc1bb5c-6120-4777-8e98-bbf0346d9a24 · outbound
This paper cites DINOv3.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection DINOv3
Reference 39
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-05-12T08:51:23.977835Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 85acefe1-1967-4af6-b069-e3bdd5c7199c · outbound
This paper cites De- clip: Decoding clip representations for deepfake localization.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection De- clip: Decoding clip representations for deepfake localization
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.781340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 233de5c0-6732-4c05-b538-90c6f3a1ae68 · outbound
This paper cites Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Roformer: Enhanced transformer with rotary position embedding.Neurocomputing, 568:127063
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.703572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation fed01212-0070-461d-bbb0-960e13d8ef3a · outbound
This paper cites Frequency-aware deepfake de- tection: Improving generalizability through frequency space domain learning.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Frequency-aware deepfake de- tection: Improving generalizability through frequency space domain learning
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.706441Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 9961ecc3-9aac-42f0-91ff-2d41999bda8f · outbound
This paper cites Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.691402Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5c04c026-8e26-4dea-a7ca-51335a98db6c · outbound
This paper cites C2p-clip: Inject- ing category common prompt in clip to enhance generaliza- tion in deepfake detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection C2p-clip: Inject- ing category common prompt in clip to enhance generaliza- tion in deepfake detection
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.694348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 243c87f9-879a-4054-a4ea-3d45d8530039 · outbound
This paper cites Training data-efficient image transformers & distillation through at- tention.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Training data-efficient image transformers & distillation through at- tention
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.697152Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 12d511f3-b5cd-4854-a7e5-8ff4c8fd7b8e · outbound
This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Reference 46
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 524fc084-25d8-4457-a082-93f74e102ff8 · outbound
This paper cites Neural discrete representation learning.Neural Information Processing Sys- tems (NeurIPS).
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Neural discrete representation learning.Neural Information Processing Sys- tems (NeurIPS)
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.681769Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 49ed6475-2336-49bd-ad97-669a674244f6 · outbound
This paper cites Attention is all you need.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Attention is all you need
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.679306Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2bd86032-5b60-4bb1-ac8d-3e12d396d722 · outbound
This paper cites Ob- jectformer for image manipulation detection and localiza- tion.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Ob- jectformer for image manipulation detection and localiza- tion
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.684494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 68c94d8a-7020-4e9d-b8ae-dab2d521375b · outbound
This paper cites Cnn-generated images are sur- prisingly easy to spot.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Cnn-generated images are sur- prisingly easy to spot
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.687609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation ba5dab2d-96ab-4705-98d4-9c6a9b3a1227 · outbound
This paper cites Opensdi: Spotting diffusion-generated images in the open world.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Opensdi: Spotting diffusion-generated images in the open world
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.711651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 46602a95-9f63-49a8-b126-fba4bbd858e9 · outbound
This paper cites Dire for diffusion-generated image detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Dire for diffusion-generated image detection
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.676795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0e056a40-b3a6-4098-98ea-2a675182f0d7 · outbound
This paper cites A sanity check for ai- generated image detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection A sanity check for ai- generated image detection
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.660752Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2c52bb6e-85c7-4a99-a887-c74573f4e2d0 · outbound
This paper cites Deepfake detection that generalizes across benchmarks.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Deepfake detection that generalizes across benchmarks
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.663242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 2b42e7be-d220-46db-a15c-be85cac78500 · outbound
This paper cites Low-rank few- shot adaptation of vision-language models.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Low-rank few- shot adaptation of vision-language models
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.674132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 3c070f49-8828-4e22-9411-0db5b5299350 · outbound
This paper cites Scaling vision transformers.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Scaling vision transformers
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.635670Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e718d3f1-8a4f-4b20-954f-fa494d02a0a9 · outbound
This paper cites Adding conditional control to text-to-image diffusion models.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Adding conditional control to text-to-image diffusion models
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.656340Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 209e0ffc-661b-4f12-a047-8d298dd05a4e · outbound
This paper cites Detect- ing and simulating artifacts in gan fake images.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Detect- ing and simulating artifacts in gan fake images
Reference 58
- Resolution
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- raw_fallback, observed 2026-05-27T05:18:49.649435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 0792f568-3b51-4b21-ac9f-9b85cbf82be9 · outbound
This paper cites Detect- ing and simulating artifacts in gan fake images.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Detect- ing and simulating artifacts in gan fake images
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.709138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation b13bd4cd-c948-4a7c-b1d5-332409a68017 · outbound
This paper cites PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection
Reference 60
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation badbaabb-b41f-4c3b-8feb-6d3141e5c49c · outbound
This paper cites Breaking latent prior bias in detectors for generaliz- able aigc image detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Breaking latent prior bias in detectors for generaliz- able aigc image detection
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.777993Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation e5171777-cac1-46e1-b3ce-8e0b0b0b4885 · outbound
This paper cites Brought a gun to a knife fight: Modern vfm baselines outgun specialized detectors on in-the-wild ai image detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Brought a gun to a knife fight: Modern vfm baselines outgun specialized detectors on in-the-wild ai image detection
Reference 62
- Resolution
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- arxiv_id, observed 2026-05-12T08:51:23.981624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 5b2a570e-b191-47f8-80e6-5dc778233dd6 · outbound
This paper cites GenDet: Towards Good Generalizations for AI-Generated Image Detection.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection GenDet: Towards Good Generalizations for AI-Generated Image Detection
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:51:24.002782Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 998cf03b-a666-4851-9edd-060f0676374c · outbound
This paper cites Genimage: A million-scale benchmark for detecting ai-generated image.
TAP into the Patch Tokens: Leveraging Vision Foundation Model Features for AI-Generated Image Detection Genimage: A million-scale benchmark for detecting ai-generated image
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-27T05:18:49.795335Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Pith citing papers
No inbound Pith citation observations are available.