Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection | Paper Citation Record

Observation 45fc5624-4c03-4fb1-afa3-a6eed7754738 · outbound

This paper cites Synthbuster: Towards detection of diffusion model generated images.IEEE Open Journal of Signal Processing, 5:1–9.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Synthbuster: Towards detection of diffusion model generated images.IEEE Open Journal of Signal Processing, 5:1–9

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.593467Z

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Observation 85181a53-af47-472b-a601-a89ce0a8fe61 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:41.216872Z

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Observation 1e2875ea-bfd5-43ab-9ded-53c0a23844a4 · outbound

This paper cites Zooming in on fakes: A novel dataset for localized ai-generated image detection with forgery amplification approach.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Zooming in on fakes: A novel dataset for localized ai-generated image detection with forgery amplification approach

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.577599Z

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Observation 4f445cc9-41f9-44af-8796-97744c8c2abe · outbound

This paper cites Emerging properties in self-supervised vision transformers.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Emerging properties in self-supervised vision transformers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.599381Z

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Observation 7b770a69-4faf-4928-ab88-858205b7eabc · outbound

This paper cites Real-Time Deepfake Detection in the Real-World.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Real-Time Deepfake Detection in the Real-World

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.251697Z

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Observation 68148a05-9312-402e-bd01-f155224ed25c · outbound

This paper cites Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.571095Z

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Observation ded94aa9-2eb5-477c-ae9d-977002398183 · outbound

This paper cites Dual data alignment makes ai- generated image detector easier generalizable.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Dual data alignment makes ai- generated image detector easier generalizable

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.268886Z

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Observation 467dd7c5-498c-4a1e-bad6-a4635b192978 · outbound

This paper cites Co-spy: Combining semantic and pixel features to detect synthetic images by ai.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Co-spy: Combining semantic and pixel features to detect synthetic images by ai

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.624625Z

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Observation c2ec1de8-8bca-47c0-ba3c-8a0b8dfe076d · outbound

This paper cites Stargan: Unified generative adversarial networks for multi-domain image-to-image translation.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Stargan: Unified generative adversarial networks for multi-domain image-to-image translation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.615356Z

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Observation f0823c2f-183a-41cc-a0d2-5c64f026e63f · outbound

This paper cites Fire: Robust detection of diffusion-generated images via frequency-guided reconstruction error.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Fire: Robust detection of diffusion-generated images via frequency-guided reconstruction error

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.588765Z

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Observation 39d92b2d-7b0c-4779-8793-e2a5ce165686 · outbound

This paper cites Raising the bar of ai-generated image detection with clip.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Raising the bar of ai-generated image detection with clip

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.619824Z

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Observation 4d7b05f6-0c05-44e3-86b7-77987e1b1078 · outbound

This paper cites Imagen3.https://deepmind.google/technologies/imagen-3.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Imagen3.https://deepmind.google/technologies/imagen-3

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.607378Z

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Observation 136d4240-dea3-4810-959a-a929064b519a · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Diffusion models beat gans on image synthesis.Advances in neural information processing systems, 34:8780–8794

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.901709Z

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Observation a7c4ddf3-b951-4498-966b-db457e7a5625 · outbound

This paper cites Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Watch your up-convolution: Cnn based generative deep neural networks are failing to reproduce spectral distributions

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.631682Z

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Observation 2e9a0e7c-d043-4f9b-be16-88232e08a580 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Scaling rectified flow transformers for high-resolution image synthesis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.864628Z

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Observation 1bd46f0f-0279-4e09-9bbd-85558e73215b · outbound

This paper cites Leveraging frequency analysis for deep fake image recognition.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Leveraging frequency analysis for deep fake image recognition

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.638323Z

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Observation 13c42c77-e040-4b90-8746-970c4503f8eb · outbound

This paper cites Generative adversarial nets.Advances in neural information processing systems, 27.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Generative adversarial nets.Advances in neural information processing systems, 27

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.891338Z

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Observation b25c7ee3-e7d0-46ae-af5a-fd622dd252ec · outbound

This paper cites Fake or jpeg? revealing common biases in generated image detection datasets.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Fake or jpeg? revealing common biases in generated image detection datasets

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.649357Z

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Observation 221c224b-0819-4d43-9541-2a772670cede · outbound

This paper cites Vector quantized diffusion model for text-to-image synthesis.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Vector quantized diffusion model for text-to-image synthesis

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.644739Z

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Observation 1591b2e6-2f88-4e59-b45d-7b3950c8a070 · outbound

This paper cites A bias-free training paradigm for more general ai-generated image detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection A bias-free training paradigm for more general ai-generated image detection

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.673428Z

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Observation 3d8e9b66-b198-4a24-8d1f-e048d623eea7 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.829443Z

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Observation de3ea5ca-5f8c-493e-a28a-1514d3e5a415 · outbound

This paper cites Lora: Low-rank adaptation of large language models.Iclr, 1(2):3.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Lora: Low-rank adaptation of large language models.Iclr, 1(2):3

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.836608Z

Source-reported events for the cited work

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Observation 131ea3ea-4494-4d4c-81c7-230fb229d964 · outbound

This paper cites The gan is dead; long live the gan! a modern gan baseline.Advances in Neural Information Processing Systems, 37:44177–44215.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection The gan is dead; long live the gan! a modern gan baseline.Advances in Neural Information Processing Systems, 37:44177–44215

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.816336Z

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Observation 55dcfe4c-1c6a-404d-ab2c-f4c314e6e840 · outbound

This paper cites Bihpf: Bilateral high-pass filters for robust deepfake detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Bihpf: Bilateral high-pass filters for robust deepfake detection

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.659369Z

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Observation 687a7f5d-e576-4541-9442-9250da597f55 · outbound

This paper cites Secret lies in color: Enhancing ai-generated images detection with color distribution analysis.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Secret lies in color: Enhancing ai-generated images detection with color distribution analysis

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.663606Z

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Observation 03548e91-d9a9-4255-b4a9-76aefbbda7cb · outbound

This paper cites Progressive Growing of GANs for Improved Quality, Stability, and Variation.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:41.252936Z

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Observation a970b2f1-45fc-4292-b00d-d13ee70b105a · outbound

This paper cites Alias-free generative adversarial networks.Advances in neural information processing systems, 34: 852–863.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Alias-free generative adversarial networks.Advances in neural information processing systems, 34: 852–863

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.795585Z

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Observation 7694da46-2228-4d9e-99dd-65f9cb335a9b · outbound

This paper cites Flux.1-dev.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Flux.1-dev

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.853027Z

Source-reported events for the cited work

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Observation 1358f53e-d3df-4fbf-94c0-f2e4518e073d · outbound

This paper cites Photo-realistic single image super- resolution using a generative adversarial network.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Photo-realistic single image super- resolution using a generative adversarial network

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.845341Z

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Observation b1e810ec-e9e8-49e1-b80b-5e93bc3299b8 · outbound

This paper cites Improving synthetic image detection towards generalization: An image transformation perspective.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Improving synthetic image detection towards generalization: An image transformation perspective

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.870834Z

Source-reported events for the cited work

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Observation 3627d370-bcc4-4fec-af09-39abfaf776ac · outbound

This paper cites Towards generalizable ai-generated image detection via image-adaptive prompt learning.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Towards generalizable ai-generated image detection via image-adaptive prompt learning

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.239658Z

Source-reported events for the cited work

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Observation 85e0c877-d0fd-48c2-afab-6b337c0eba82 · outbound

This paper cites Is artificial intelligence generated image detection a solved problem?.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Is artificial intelligence generated image detection a solved problem?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.228723Z

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Observation 9d441568-f0d6-44ba-8a8c-24e2cb90adee · outbound

This paper cites Ferretnet: Efficient synthetic image detection via local pixel dependencies.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Ferretnet: Efficient synthetic image detection via local pixel dependencies

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.246268Z

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Observation 30d702a0-f00d-488d-bbc3-293563d53a5c · outbound

This paper cites Microsoft coco: Common objects in context.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Microsoft coco: Common objects in context

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.710456Z

Source-reported events for the cited work

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Observation 2caa8e30-4958-4701-b1c1-ed673e5dbe63 · outbound

This paper cites Forgery- aware adaptive transformer for generalizable synthetic image detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Forgery- aware adaptive transformer for generalizable synthetic image detection

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.754948Z

Source-reported events for the cited work

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Observation 1010430c-b554-4549-bbf9-c807aae9fe36 · outbound

This paper cites Beyond artifacts: Real-centric envelope modeling for reliable ai-generated image detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Beyond artifacts: Real-centric envelope modeling for reliable ai-generated image detection

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.215051Z

Source-reported events for the cited work

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Observation d79a9fa4-8760-4720-8214-2f9893b2e056 · outbound

This paper cites Lareˆ 2: Latent reconstruction error based method for diffusion-generated image detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Lareˆ 2: Latent reconstruction error based method for diffusion-generated image detection

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.771401Z

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Observation 0dc479eb-6315-4ed2-a081-86c63077375e · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:41.265073Z

Source-reported events for the cited work

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Observation b00a8dca-763b-4725-9c38-22c025138211 · outbound

This paper cites Deconvolution and checkerboard artifacts.Distill, 1 (10):e3.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Deconvolution and checkerboard artifacts.Distill, 1 (10):e3

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.860304Z

Source-reported events for the cited work

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Observation 879ac8dc-45e5-4813-8f6a-5855f5ea684a · outbound

This paper cites Towards universal fake image detectors that generalize across generative models.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Towards universal fake image detectors that generalize across generative models

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.790276Z

Source-reported events for the cited work

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Observation 2215afbd-0edd-4e20-9e13-ddc7a059333b · outbound

This paper cites Semantic image synthesis with spatially- adaptive normalization.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Semantic image synthesis with spatially- adaptive normalization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.742646Z

Source-reported events for the cited work

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Observation bea8c900-ac79-4a49-8f99-fb9b05d46705 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:41.244477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 258ebd52-129c-4541-a353-b937fc3e2ba7 · outbound

This paper cites Thinking in frequency: Face forgery detection by mining frequency-aware clues.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Thinking in frequency: Face forgery detection by mining frequency-aware clues

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.821984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9fb83b7b-8e0b-472f-af6b-f35d0887f442 · outbound

This paper cites Learning transferable visual models from natural language supervision.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Learning transferable visual models from natural language supervision

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.912212Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0eaea107-4846-40c1-b17c-aae0b685ff6c · outbound

This paper cites Aligned Datasets Improve Detection of Latent Diffusion-Generated Images.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Aligned Datasets Improve Detection of Latent Diffusion-Generated Images

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.232489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a503b8e-6e05-4a74-b71f-65caa0f374b8 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection High-resolution image synthesis with latent diffusion models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.735346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ea8ac40d-c5c8-494f-908e-7c804c359b78 · outbound

This paper cites Stylegan-xl: Scaling stylegan to large diverse datasets.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Stylegan-xl: Scaling stylegan to large diverse datasets

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.750225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3dce0420-e442-4aa0-b88d-b37945e4db44 · outbound

This paper cites Grad-cam: Visual explanations from deep networks via gradient-based localization.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Grad-cam: Visual explanations from deep networks via gradient-based localization

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.714758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cfd85fba-7afb-4460-90e9-d4b8eebaaa65 · outbound

This paper cites De-fake: Detection and attribution of fake images generated by text-to-image generation models.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection De-fake: Detection and attribution of fake images generated by text-to-image generation models

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.775154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6fc788a5-206d-421f-918a-2e1d6621079d · outbound

This paper cites DINOv3.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection DINOv3

Reference 50

Resolution: metadata mismatch; local_arxiv, observed 2026-05-15T02:39:41.228359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation abe87f75-2157-4eca-8261-0748844c660b · outbound

This paper cites Denoising Diffusion Implicit Models.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Denoising Diffusion Implicit Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:41.209721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5b077abc-005d-4376-9a70-8c84414c3123 · outbound

This paper cites Learning on gradients: Generalized artifacts representation for gan-generated images detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Learning on gradients: Generalized artifacts representation for gan-generated images detection

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.876599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a26052b4-a198-4395-af98-2e2cacc3fcf1 · outbound

This paper cites Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Frequency-aware deepfake detection: Improving generalizability through frequency space domain learning

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.881574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ca2c1507-4cfe-452b-b256-41b8d0a0a432 · outbound

This paper cites Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Rethinking the up-sampling operations in cnn-based generative network for generalizable deepfake detection

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.725250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3b3b1c9-48aa-4475-be31-0c07ac3f2d2d · outbound

This paper cites C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection C2p-clip: Injecting category common prompt in clip to enhance generalization in deepfake detection

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.718850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 311edceb-c952-4eb8-9d14-c22ef5924828 · outbound

This paper cites Midjourney v6.1.https://www.midjourney.com/home.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Midjourney v6.1.https://www.midjourney.com/home

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.694345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d72f648-a650-40d3-83d0-5a8a0f85443c · outbound

This paper cites Dall-e 3 ai image generator.https://dalle3.ai/.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Dall-e 3 ai image generator.https://dalle3.ai/

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.784118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation edb8dc0a-0850-4e79-81d1-f49fde1ec379 · outbound

This paper cites Pixel recurrent neural networks.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Pixel recurrent neural networks

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.702434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 548f84d3-9a00-409e-9101-a0dbc914e52e · outbound

This paper cites Cnn-generated images are surprisingly easy to spot.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Cnn-generated images are surprisingly easy to spot

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.681341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 02fbcefd-16f1-4022-9860-38b6efee92e7 · outbound

This paper cites Dire for diffusion-generated image detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Dire for diffusion-generated image detection

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.765672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8cd23080-f88a-4fae-9f5a-3c77e83f553c · outbound

This paper cites A Sanity Check for AI-generated Image Detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection A Sanity Check for AI-generated Image Detection

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.261331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d5d000ea-9c1f-4012-8649-2e4298c65705 · outbound

This paper cites Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:25:48.212043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 61050853-c053-4575-8494-cbd7504156b2 · outbound

This paper cites Semgir: Semantic-guided image regeneration based method for ai-generated image detection and attribution.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Semgir: Semantic-guided image regeneration based method for ai-generated image detection and attribution

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.758842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 41c17355-3402-45c9-950c-63a1614e0062 · outbound

This paper cites Styleswin: Transformer-based gan for high-resolution image generation.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Styleswin: Transformer-based gan for high-resolution image generation

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.809285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5d412ed-2bec-4fd8-b40f-51b80e47735f · outbound

This paper cites PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection PatchCraft: Exploring Texture Patch for Efficient AI-generated Image Detection

Reference 65

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:39:41.248128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f9cb2965-c7ac-45f5-9188-dbf5bb27990b · outbound

This paper cites Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Simplicity Prevails: The Emergence of Generalizable AIGI Detection in Visual Foundation Models

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-15T02:39:41.235658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5d5f231d-e516-47ca-881a-e90e5694c178 · outbound

This paper cites Unpaired image-to-image translation using cycle-consistent adversarial networks.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Unpaired image-to-image translation using cycle-consistent adversarial networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-05-15T04:25:03.686585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f476da75-aca9-4863-a7c9-a64a1c8e704f · outbound

This paper cites Genimage: A million-scale benchmark for detecting ai-generated image.Advances in neural information processing systems, 36:77771–77782.

Reduce the Artifacts Bias for More Generalizable AI-Generated Image Detection Genimage: A million-scale benchmark for detecting ai-generated image.Advances in neural information processing systems, 36:77771–77782

Reference 68

Resolution: malformed identifier; arxiv_id, observed 2026-05-15T02:39:41.256221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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