Paper Citation Record · LEDGER

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders

As of 14 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 1 inbound Pith citation observation for arXiv:2606.08634.

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

pith.paper-citation-record.v1
2606.08634 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

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measured 59 of 59 standing notices

One-hop event checks from named stored sources.

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measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:32:02.107828Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T04:32:02.598079Z

Reference resolution

58 of 58 outbound references displayed

verified exact18
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c5041265-4622-4cb2-9cb9-8fc7da0b1bcb · outbound

This paper cites Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Qwen-vl: A versatile vision-language model for un- derstanding, localization, text reading, and beyond, 2023

Reference 1

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Observation e66df388-1a4e-4b52-8331-878ac93d081e · outbound

This paper cites FLUX.1-dev.https : / / huggingface.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders FLUX.1-dev.https : / / huggingface

Reference 2

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Observation 92edf316-85cd-40cc-809d-6eabd4b2c05d · outbound

This paper cites Perception Encoder: The best visual embeddings are not at the output of the network.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Perception Encoder: The best visual embeddings are not at the output of the network

Reference 3

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Observation 38f4c5dd-e3c3-4084-ba07-d5177541a868 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.096169Z

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Observation cf816e26-7f99-41b5-83ae-c73e00e2d4b7 · outbound

This paper cites Emerg- ing properties in self-supervised vision transformers.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Emerg- ing properties in self-supervised vision transformers

Reference 5

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Observation 3e0fa744-2ce8-4752-a431-1c0912104515 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Real-Time Deepfake Detection in the Real-World

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:26.098965Z

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Observation 88d5cb20-7ea7-422d-8fdd-c851f080db46 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Drct: Diffusion reconstruction contrastive training towards universal detection of diffusion generated images

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation a4812eca-298e-4979-996b-a673987d2856 · outbound

This paper cites Gemini 2.5 flash-image.https:// aistudio.google.com/models/gemini- 2- 5- flash-image, 2025.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Gemini 2.5 flash-image.https:// aistudio.google.com/models/gemini- 2- 5- flash-image, 2025

Reference 8

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Observation 1f358d59-e500-4ebb-8624-2cb2d74887ad · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Imagenet: A large-scale hierarchical image database

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation 83f84bbe-0a24-40ce-bdb7-a78610e46a90 · outbound

This paper cites Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Diffusion models beat gans on image synthesis.Advances in neural informa- tion processing systems, 34:8780–8794, 2021

Reference 10

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Observation d6831b81-5a1f-4cb0-806b-004d7bb57303 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Scaling recti- fied flow transformers for high-resolution image synthesis

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation 66d74483-3c53-45f1-b11e-c01e435ed74a · outbound

This paper cites Humanrefiner: Benchmarking abnormal human generation and refining with coarse-to-fine pose-reversible guidance.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Humanrefiner: Benchmarking abnormal human generation and refining with coarse-to-fine pose-reversible guidance

Reference 12

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Observation f0b9f078-1a52-4dfd-85b5-017d464590ed · outbound

This paper cites Imagen 3.https://deepmind.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Imagen 3.https://deepmind

Reference 13

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Observation 07584794-cf8e-4947-b7b5-666dc78fe419 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Vec- tor quantized diffusion model for text-to-image synthesis

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation 3c489755-6601-4c2d-b6f3-bf2bed9e68dd · outbound

This paper cites Progressive growing of GANs for improved quality, stabil- ity, and variation.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Progressive growing of GANs for improved quality, stabil- ity, and variation

Reference 15

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Observation 709793c2-5947-41b8-8381-0e74269eab60 · outbound

This paper cites Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective

Reference 16

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Observation 57c489d3-cbc3-415d-9547-8302dc1fe654 · outbound

This paper cites Photomaker: Customizing re- alistic human photos via stacked id embedding.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Photomaker: Customizing re- alistic human photos via stacked id embedding

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation 2158f47e-9cab-4bdb-b94d-f487f9f1730b · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Is artificial intelligence generated image detection a solved problem?

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:26.131127Z

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Observation ab4d8456-1a3c-4c8f-9919-d7236210daef · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Ferretnet: Efficient synthetic image detection via local pixel dependencies

Reference 19

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Observation c69e252a-88c0-4aaf-af8b-c1e4b409e748 · outbound

This paper cites Microsoft coco: Common objects in context.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Microsoft coco: Common objects in context

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation 1e23ae06-95ec-4a8f-a0b8-468c36968b44 · outbound

This paper cites Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Visual instruction tuning.Advances in neural information processing systems, 36:34892–34916, 2023

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation 491b4f57-f645-4b94-af50-c1fbfdbe12e0 · outbound

This paper cites Global tex- ture enhancement for fake face detection in the wild.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Global tex- ture enhancement for fake face detection in the wild

Reference 22

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Observation eab937ef-98a3-439c-8a10-b26f12461037 · outbound

This paper cites arXiv:2509.09495 [cs.CV] https://arxiv.org/abs/2509.09495.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders arXiv:2509.09495 [cs.CV] https://arxiv.org/abs/2509.09495

Reference 23

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Observation 31459cb9-6bc8-4b22-b102-0b91eccd5a81 · outbound

This paper cites Seeing is not always believing: Benchmarking human and model perception of ai-generated images.Advances in neural information processing systems, 36:25435–25447, 2023.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Seeing is not always believing: Benchmarking human and model perception of ai-generated images.Advances in neural information processing systems, 36:25435–25447, 2023

Reference 24

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Observation 43c969eb-082b-4a6f-a3ed-4ed87716fadd · outbound

This paper cites LCM-LoRA: A Universal Stable-Diffusion Acceleration Module.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders LCM-LoRA: A Universal Stable-Diffusion Acceleration Module

Reference 25

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Observation 64dd532b-df7b-4738-b047-8651f340c31a · outbound

This paper cites Midjourney V6.1.https://www.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Midjourney V6.1.https://www

Reference 26

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Observation 6731a86a-9fde-4f5b-8e88-795913062217 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 27

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Observation e6e13f16-5b38-447f-b950-9d2954db74c4 · outbound

This paper cites Towards uni- versal fake image detectors that generalize across genera- tive models.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Towards uni- versal fake image detectors that generalize across genera- tive models

Reference 28

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This paper cites Dall–e 3.https://dalle3.ai/, 2024.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Dall–e 3.https://dalle3.ai/, 2024

Reference 29

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Observation f64210aa-7afa-4a98-89e3-24b2867e0d0d · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders DINOv2: Learning Robust Visual Features without Supervision

Reference 30

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.137725Z

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Observation 232043be-135b-4c59-b2f5-03b05955f298 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 31

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Observation 84a5f6b4-c9c7-4232-8e8c-ab3658f2d09f · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Learning transferable visual models from natural language supervi- sion

Reference 32

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This paper cites Recraft-v3-24-7-25 text-to-image human pref- erence dataset.https : / / huggingface.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Recraft-v3-24-7-25 text-to-image human pref- erence dataset.https : / / huggingface

Reference 33

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Observation 8da67da3-bcc4-44e1-9e88-99892ec40628 · outbound

This paper cites Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

Reference 34

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Observation d79ba505-f2a6-467c-b695-efef9c4aea9d · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders High-resolution image synthesis with latent diffusion models

Reference 35

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Observation a3d48de7-ab66-4771-9e45-d9d4585a26e3 · outbound

This paper cites Faceforen- sics++: Learning to detect manipulated facial images.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Faceforen- sics++: Learning to detect manipulated facial images

Reference 36

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SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders DINOv3

Reference 37

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Observation 0dc31cef-ed31-4a88-ab66-f66ec2bf5524 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Learning on gradients: Generalized arti- facts representation for gan-generated images detection

Reference 38

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Observation 792ae562-00c1-49b1-976e-9bb5bfe3c496 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Frequency-aware deepfake de- tection: Improving generalizability through frequency space domain learning

Reference 39

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Observation 3f01116f-98cb-4733-8038-24bf01cac5a7 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Rethinking the up-sampling op- erations in cnn-based generative network for generalizable deepfake detection

Reference 40

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Observation e3500442-51b3-4a20-862e-11acc373064f · outbound

This paper cites C2p-clip: Inject- ing category common prompt in clip to enhance generaliza- tion in deepfake detection.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders C2p-clip: Inject- ing category common prompt in clip to enhance generaliza- tion in deepfake detection

Reference 41

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SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Unresolved cited work

Reference 42

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This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.140311Z

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Observation 08c436a5-4f78-42c2-b972-bf6323e8d2a8 · outbound

This paper cites Lota: Bit-planes guided ai-generated image de- tection.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Lota: Bit-planes guided ai-generated image de- tection

Reference 44

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Observation 473a7ad1-2536-4911-9f23-f88e685c5902 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 45

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.105326Z

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Observation 5403fe0d-e92e-46eb-a4b7-66b79b682064 · outbound

This paper cites InstantID: Zero-shot Identity-Preserving Generation in Seconds.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders InstantID: Zero-shot Identity-Preserving Generation in Seconds

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.113774Z

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Observation 2a1170b8-6c53-47ed-944e-fa7b77896363 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Cnn-generated images are surprisingly easy to spot

Reference 47

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Observation 51adb3e4-431f-490a-90f3-6ce4556595ed · outbound

This paper cites Wukong — model zoo, mindspore xihe plat- form.https://xihe.mindspore.cn/modelzoo/ wukong, 2025.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Wukong — model zoo, mindspore xihe plat- form.https://xihe.mindspore.cn/modelzoo/ wukong, 2025

Reference 48

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This paper cites InProceedings of the AAAI Conference on Artificial Intelligence, volume 39, 7184–7192.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders InProceedings of the AAAI Conference on Artificial Intelligence, volume 39, 7184–7192

Reference 49

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T22:37:26.079999Z

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Observation 424d5c31-ac14-4705-9ab6-c12dc20be1c3 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders A Sanity Check for AI-generated Image Detection

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:26.118880Z

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Observation 9214bdb9-d38e-4926-9ffb-c7e72a092263 · outbound

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

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Orthogonal Subspace Decomposition for Generalizable AI-Generated Image Detection

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.148783Z

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Observation 08ba03c2-2853-4722-a44a-0eafe561e9c4 · outbound

This paper cites Dˆ 3: Scaling up deepfake detection by learning from discrepancy.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Dˆ 3: Scaling up deepfake detection by learning from discrepancy

Reference 52

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation 6b5f3620-ab19-417a-8270-26d426bf948b · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-07-02T22:37:26.135030Z

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Observation 2a7b4ac0-40de-4368-aef0-c974b4de6bfe · outbound

This paper cites Sigmoid loss for language image pre-training.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Sigmoid loss for language image pre-training

Reference 54

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation b1fa5806-5375-4bfa-a74f-696a4bec96d4 · outbound

This paper cites Towards universal ai-generated image detec- tion by variational information bottleneck network.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Towards universal ai-generated image detec- tion by variational information bottleneck network

Reference 55

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation b1f3d6e4-6623-4210-9c4b-380a8f43dd92 · outbound

This paper cites Adding conditional control to text-to-image diffusion models.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders Adding conditional control to text-to-image diffusion models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Observation f1fda93a-867c-472a-b6b1-6c3bc088dda5 · outbound

This paper cites AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-07-02T22:37:26.083247Z

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Observation e8d5401c-0d82-4dae-a058-13e0c661bea0 · outbound

This paper cites A beige pastry sitting in a white bowl next to a spoon.

SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders A beige pastry sitting in a white bowl next to a spoon

Reference 58

Resolution: malformed identifier; no resolver link, observed 2026-06-27T18:45:40.075404Z

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Pith citing papers

Observation 8f753e13-5d4b-4480-bffa-b73ae9650f4d · inbound

Unleashing the Potential of Vision-Language Models for Generalizable AI-Generated Image Detection cites this paper.

Unleashing the Potential of Vision-Language Models for Generalizable AI-Generated Image Detection SSAFE: Simple and Strong AI-Generated Image Detection via Frozen Vision Encoders

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-10T04:32:02.605914Z

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