Bi-Level Optimization for Self-Supervised AI-Generated Face Detection | Paper Citation Record

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This paper cites https://www.midjourney.com.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection https://www.midjourney.com

Reference 1

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Observation e84b2216-b7e4-43a4-b5b6-073d0aa9e0c2 · outbound

This paper cites A geometric and photometric exploration of GAN and diffusion synthesized faces.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection A geometric and photometric exploration of GAN and diffusion synthesized faces

Reference 2

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Observation 8add2f8a-bd85-4dce-ad02-7b6ad489ffbc · outbound

This paper cites End-to-end reconstruction-classification learning for face forgery detection.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection End-to-end reconstruction-classification learning for face forgery detection

Reference 3

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This paper cites Structure-aware protein self-supervised learning.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Structure-aware protein self-supervised learning

Reference 4

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Observation f1bee4e2-5420-4b49-9daa-54d498c24dd8 · outbound

This paper cites DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection DiffusionFace: Towards a Comprehensive Dataset for Diffusion-Based Face Forgery Analysis

Reference 5

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This paper cites Diffusion facial forgery detection.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Diffusion facial forgery detection

Reference 6

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Observation b0f81e70-1621-4b45-bf6c-3869463e3d9f · outbound

This paper cites Intriguing properties of synthetic images: From generative adversarial networks to diffusion models.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Intriguing properties of synthetic images: From generative adversarial networks to diffusion models

Reference 7

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Observation e50d23d5-86ad-42c4-8d73-39d5e290614b · outbound

This paper cites Zero-shot detection of AI -generated images.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Zero-shot detection of AI -generated images

Reference 8

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Observation f1b36a3f-14f0-4807-87f5-b0feb0f376cd · outbound

This paper cites Foundations of Bilevel Programming.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Foundations of Bilevel Programming

Reference 9

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Observation a26c5eb0-0ff6-4fe8-9668-071db8f32e5a · outbound

This paper cites Think twice before detecting GAN -generated fake images from their spectral domain imprints.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Think twice before detecting GAN -generated fake images from their spectral domain imprints

Reference 10

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Observation 0e5ad966-a1ab-47e6-9c78-832f0fdd1458 · outbound

This paper cites VOS : Learning what you don't know by virtual outlier synthesis.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection VOS : Learning what you don't know by virtual outlier synthesis

Reference 11

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Observation 400d9975-7b55-445c-8e85-04efa4ec56b0 · outbound

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Watch your up-convolution: CNN based generative deep neural networks are failing to reproduce spectral distributions

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.941776Z

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Observation 18db38cb-8713-41a1-884f-ec4b975ce995 · outbound

This paper cites Taming T ransformers for high-resolution image synthesis.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Taming T ransformers for high-resolution image synthesis

Reference 13

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Observation 32f25872-d5c2-4fb7-8492-9e637526e594 · outbound

This paper cites Perceptual quality assessment of smartphone photography.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Perceptual quality assessment of smartphone photography

Reference 14

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Observation ab2a6a51-cfeb-46dd-8ee3-86decdddef03 · outbound

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Leveraging frequency analysis for deep fake image recognition

Reference 15

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Observation fea827b5-3261-4f04-91d8-49149e92f861 · outbound

This paper cites Unsupervised Representation Learning by Predicting Image Rotations.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Unsupervised Representation Learning by Predicting Image Rotations

Reference 16

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Observation 42dc3ad5-6a28-4b04-8bb0-3c8ec639989c · outbound

This paper cites Scaling and benchmarking self-supervised visual representation learning.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Scaling and benchmarking self-supervised visual representation learning

Reference 17

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Observation 86ffde89-a080-4ef8-af5f-d6965546b480 · outbound

This paper cites Eyes tell all: Irregular pupil shapes reveal GAN -generated faces.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Eyes tell all: Irregular pupil shapes reveal GAN -generated faces

Reference 18

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Observation 70da8e53-9df6-4629-83d3-d4fc13c99265 · outbound

This paper cites an unresolved cited work.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Unresolved cited work

Reference 19

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Observation fea30021-0676-49a7-acaf-08cf927b823c · outbound

This paper cites Deep residual learning for image recognition.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Deep residual learning for image recognition

Reference 20

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Observation 5ed50878-d191-49dc-bda2-defa9ed6e3be · outbound

This paper cites Masked autoencoders are scalable vision learners.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Masked autoencoders are scalable vision learners

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.817794Z

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Observation 8625d19b-a9cc-409a-93ae-0845a066f65e · outbound

This paper cites Exposing GAN -generated faces using inconsistent corneal specular highlights.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Exposing GAN -generated faces using inconsistent corneal specular highlights

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.800691Z

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Observation 1ab70344-c501-413b-99c6-c7cbe77d9ecc · outbound

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Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Unresolved cited work

Reference 23

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Observation e53fd574-a491-4e8f-aaed-ae50e722d7ac · outbound

This paper cites DeepPrivacy : A generative adversarial network for face anonymization.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection DeepPrivacy : A generative adversarial network for face anonymization

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.769042Z

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Observation 53960bb5-047e-4269-a7cd-9dcfd56b8c9e · outbound

This paper cites Progressive growing of GANs for improved quality, stability, and variation.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Progressive growing of GANs for improved quality, stability, and variation

Reference 25

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Observation d76a39aa-f54a-42d5-b962-9c95845502a3 · outbound

This paper cites A style-based generator architecture for generative adversarial networks.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection A style-based generator architecture for generative adversarial networks

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.734181Z

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Observation f7b8237c-17fb-4a30-af58-7dca3815cc3c · outbound

This paper cites Analyzing and improving the image quality of StyleGAN.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Analyzing and improving the image quality of StyleGAN

Reference 27

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Observation ebed020b-8a66-419d-a696-f9142407fb49 · outbound

This paper cites Adam: A method for stochastic optimization.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Adam: A method for stochastic optimization

Reference 28

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Observation db56f8f0-afad-4748-a13e-8adacaa1e33f · outbound

This paper cites Align D et: Aligning pre-training and fine-tuning in object detection.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Align D et: Aligning pre-training and fine-tuning in object detection

Reference 29

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Observation 83fe115b-fc96-456a-b242-8e2069086461 · outbound

This paper cites Focal loss for dense object detection.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Focal loss for dense object detection

Reference 30

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This paper cites Detecting generated images by real images.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Detecting generated images by real images

Reference 31

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Observation 71d5d6d8-ed2f-4314-b074-ee704d1da2fd · outbound

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Forgery-aware adaptive Transformer for generalizable synthetic image detection

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.638004Z

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Observation 5f24e079-425c-4e01-8751-6cb5d7f7a16a · outbound

This paper cites Auto-Lambda: Disentangling Dynamic Task Relationships.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Auto-Lambda: Disentangling Dynamic Task Relationships

Reference 33

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Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Unresolved cited work

Reference 34

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Observation f3fb1d2e-4cd4-42ee-8537-4f3d28d9824b · outbound

This paper cites Decoupled weight decay regularization.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Decoupled weight decay regularization

Reference 35

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Observation 46c5d771-5860-4009-a1d1-ac355e6f15fb · outbound

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection LaRE ^2 : Latent reconstruction error based method for diffusion-generated image detection

Reference 36

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Observation 0bfce0da-84a6-44d9-b4ba-ca39e3a39489 · outbound

This paper cites Nightingale and Hany Farid.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Nightingale and Hany Farid

Reference 37

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Observation 60ece60e-16d9-4099-8350-c09d4798f903 · outbound

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Towards universal fake image detectors that generalize across generative models

Reference 38

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Observation d5aeb376-b0cb-448e-beb3-efd9727b18a1 · outbound

This paper cites SDXL : Improving latent diffusion models for high-resolution image synthesis.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection SDXL : Improving latent diffusion models for high-resolution image synthesis

Reference 39

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This paper cites Language models are unsupervised multitask learners.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Language models are unsupervised multitask learners

Reference 40

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Learning transferable visual models from natural language supervision

Reference 41

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This paper cites Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, and Trevor Darrell.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Reed, Xiangyu Yue, Ani Nrusimha, Sayna Ebrahimi, Vivek Vijaykumar, Richard Mao, Bo Li, Shanghang Zhang, Devin Guillory, Sean Metzger, Kurt Keutzer, and Trevor Darrell

Reference 42

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This paper cites AEROBLADE : Training-free detection of latent diffusion images using autoencoder reconstruction error.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection AEROBLADE : Training-free detection of latent diffusion images using autoencoder reconstruction error

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.481171Z

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection High-resolution image synthesis with latent diffusion models

Reference 44

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Observation 60b09387-4c6c-4da0-9428-adb3fcd027df · outbound

This paper cites Bi-level finetuning with task-dependent similarity structure for low-resource training.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Bi-level finetuning with task-dependent similarity structure for low-resource training

Reference 45

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Observation fa44d131-50da-4da1-bbbc-1aad44a8c4c1 · outbound

This paper cites Denoising diffusion implicit models.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Denoising diffusion implicit models

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.434916Z

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Observation a1d4a7f7-20b2-4121-8a9a-695bee110571 · outbound

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

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Learning on gradients: Generalized artifacts representation for GAN -generated images detection

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.419787Z

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This paper cites Thurstone.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Thurstone

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.404790Z

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Observation fe5e6a6b-4e03-484f-9dc2-f0ae4c2360bf · outbound

This paper cites F R ank: A ranking method with fidelity loss.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection F R ank: A ranking method with fidelity loss

Reference 49

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Observation 180d315f-55dd-4010-ae56-b996fcbde35e · outbound

This paper cites Visualizing data using t- SNE.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Visualizing data using t- SNE

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.374010Z

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Observation 4e8b2bd9-e373-40b6-8372-0f97232a81c5 · outbound

This paper cites SGDR : Stochastic gradient descent with warm restarts.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection SGDR : Stochastic gradient descent with warm restarts

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.358147Z

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Observation d28ebea5-f20c-4471-b08f-7cae73de7655 · outbound

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Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Unresolved cited work

Reference 52

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Observation 1011f014-855d-47aa-942c-488dd46e4efd · outbound

This paper cites DIRE for diffusion-generated image detection.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection DIRE for diffusion-generated image detection

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.328199Z

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Observation d6aa2094-8eb7-4f58-959b-64153de167a2 · outbound

This paper cites NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection NoisyTune: A Little Noise Can Help You Finetune Pretrained Language Models Better

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:22:57.897001Z

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Observation 53a3cba8-f854-410f-ae16-1dc20fb529a4 · outbound

This paper cites Better aligning text-to-image models with human preference.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Better aligning text-to-image models with human preference

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.313604Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 71a01415-14d4-483a-9f34-78d93e820e32 · outbound

This paper cites Instance localization for self-supervised detection pretraining.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Instance localization for self-supervised detection pretraining

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.299147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 586a517b-4735-4ba1-b3b5-622f10732b80 · outbound

This paper cites Exposing Deep Fakes using inconsistent head poses.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Exposing Deep Fakes using inconsistent head poses

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.283832Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 5611459d-9d58-49f8-8625-55b2053f1a8d · outbound

This paper cites FreeDoM : Training-free energy-guided conditional diffusion model.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection FreeDoM : Training-free energy-guided conditional diffusion model

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.268408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0bdf33b1-0685-4c19-a953-5384fd33f919 · outbound

This paper cites BiSSL : Bilevel optimization for self-supervised pre-training and fine-tuning.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection BiSSL : Bilevel optimization for self-supervised pre-training and fine-tuning

Reference 59

Resolution: verified exact; raw_fallback, observed 2026-08-06T11:22:57.872294Z

Source-reported events for the cited work

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Observation fe91840f-8d93-46ae-85bb-33a85f7081df · outbound

This paper cites A flexible new technique for camera calibration.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection A flexible new technique for camera calibration

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.253039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3375be59-31fb-4c7f-8378-13d091097248 · outbound

This paper cites EXIF as language: Learning cross-modal associations between images and camera metadata.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection EXIF as language: Learning cross-modal associations between images and camera metadata

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.238198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db1d7f31-375f-47c4-b9e5-c875664698ed · outbound

This paper cites General facial representation learning in a visual-linguistic manner.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection General facial representation learning in a visual-linguistic manner

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.222688Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e41146d-a446-4207-9959-491b65be0a3a · outbound

This paper cites an unresolved cited work.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:22:58.205407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f61470c9-4c19-4ef7-bee0-8774f9e88d08 · outbound

This paper cites Semantics-oriented multitask learning for DeepFake detection: A joint embedding approach.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Semantics-oriented multitask learning for DeepFake detection: A joint embedding approach

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.188114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0d03ee4b-ab45-4133-bbdb-f351f41b8d2d · outbound

This paper cites Semantic contextualization of face forgery: A new definition, dataset, and detection method.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Semantic contextualization of face forgery: A new definition, dataset, and detection method

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.170557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1b4e9d23-2880-463f-8ccc-a5d4c1053d7e · outbound

This paper cites Self-supervised learning for detecting AI -generated faces as anomalies.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Self-supervised learning for detecting AI -generated faces as anomalies

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.155255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cb42a3cc-d4f8-4576-8653-a82fbc1f6c05 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Model-agnostic meta-learning for fast adaptation of deep networks

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.138874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ae7130b-407e-46b9-9753-8a901dc79960 · outbound

This paper cites DARTS: Differentiable Architecture Search.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection DARTS: Differentiable Architecture Search

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T11:22:57.678417Z

Source-reported events for the cited work

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Observation 7ff6e5f4-5926-4476-93ea-f82722b6e546 · outbound

This paper cites Williamson, Alex Smola, John Shawe-Taylor, and John Platt.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Williamson, Alex Smola, John Shawe-Taylor, and John Platt

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.123348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 261a9a17-318b-4866-8d63-ef4ec98e7c34 · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection Efros, Eli Shechtman, and Oliver Wang

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:22:58.106377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8367171e-2515-4071-9760-d313caaa5284 · outbound

This paper cites write newline.

Bi-Level Optimization for Self-Supervised AI-Generated Face Detection write newline

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-06T11:22:57.694266Z

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