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Paper Citation Record · LEDGER

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

As of 18 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2507.22824.

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

pith.paper-citation-record.v1
2507.22824 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:22:57.694266Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

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  • verified fuzzy57
  • unresolved11
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 382ea154-52fb-49b1-90ac-a69c0a84d6e4 · outbound

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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Observation addc2d28-4dd8-4e3c-b045-9c93c311a582 · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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Observation d561d5b4-18ec-455a-b593-8980a4b9aceb · outbound

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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Source-reported events for the cited work

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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

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

Reference 19

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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

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Observation 633599f3-8cd0-486c-b3ba-6c47516c1601 · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:56.186155Z digest=sha256:dac5e798d52a820313add6dd89c267ac3fe93133721d9f98b3a5ead1b54d9d26

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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no resolver link, observed 2026-08-06T11:22:56.237854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:22:56.237854Z digest=sha256:ac7207ac7c4991c4190b134883645625d7fddb901f8a2967d9a7b86acf8c32cd

Observation e476feef-680f-4ad7-aeb6-b017976b0ea3 · outbound

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

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:56.444040Z digest=sha256:298779ece209ddd170a786208f1251d8324662489dddf8f51b965b1b4410b0c1

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.590345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:56.534356Z digest=sha256:5cfb82d9cdca4e595510b7d3d5d9685e9ef8642774b7c92a0efacad029733ff7

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.575547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:56.664168Z digest=sha256:355e8a2dce610ee0dd52ac56b513e0e5bdba9d8deda0bd95fc31a52edb5a2b92

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.560292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:56.803358Z digest=sha256:50c39d7152f1a31a9b20010be953b224afaa226a5750001fc4ba384d07906469

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.544874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:56.920357Z digest=sha256:e5ff4151f139dee3d87c661c2e82efa419966d17eeac1d0d99808946fdbe126c

Observation 7d07809a-067d-4d10-8762-4a060ae477d3 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.529791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.020493Z digest=sha256:363cbee6b8f5758f5e16a9a259f1905abb4357b3b8d3ec9263f0dc299cdd6b46

Observation 83cbd76a-709d-49fc-8c7f-48c1639866ac · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.513924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.126670Z digest=sha256:9cd7951589e8237b6011aa9fab943f8addc13e616665ab06a406a7687d73de1e

Observation fe71d92e-3b4c-4546-8c57-67a4ad09ed7d · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.497852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.206792Z digest=sha256:c4b3e8a305f4f97dd2c8ddc788a5821994257a61a8c4b84139dcb9844734d034

Observation 7355009d-0d47-4e81-8148-4516d42e8a54 · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.341942Z digest=sha256:ea7a766d75681097765ccd64454119a60518195c4e25c4ce0ddc7bdc70e7009e

Observation 20957f89-f8b9-41d4-b91f-b9c63ebc2204 · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.465323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.416002Z digest=sha256:8fc0bce0ba520b74e517bbe87fb13ac1f35c5ecda5ef682bbe13e62634408a57

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.450317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.499587Z digest=sha256:77c7adb603a53e8579ed82d607ea5e429ddbafecc04185f0eca7d24cd82fe96e

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.579540Z digest=sha256:dfb020362d9eb4cbd5d8d53fdc1d12442646a9ef3d524bffa2a673e477973dfb

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.583936Z digest=sha256:e4551fedc4513fbcd24aa5b188899fcc1dee2bf27d9a7d805d9559a356f09091

Observation dc1513b1-b214-4b54-86a4-811ee32d4abf · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.588687Z digest=sha256:367628a4b0ddb51317c1b96780ff83f733d7172800da841512eccf4a87023a12

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T11:22:58.389431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.592980Z digest=sha256:92be97ed58cc376c9dc40a63b7cfcbe1f79f6115dab3dfd81e845d1df7b667d7

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.597885Z digest=sha256:75b22d792057ab629c3e540a64c47d188319cf3e95248d1bead89ae65528bb4f

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.602387Z digest=sha256:e9ca63988c73c63bf9d1c9d7cf4630e0f2cfa2697d6ad7a3762254936d4c3acb

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

This paper cites an unresolved cited work.

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

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-06T11:22:58.342954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.606889Z digest=sha256:068d39fb73761e8c5574c6e9cb063452754287fe47ee1de78cc4755ac769d4e5

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.611040Z digest=sha256:202c6ba37a7344350cf225f4b863256b083876e972e07b17daca98d587d15e39

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.615540Z digest=sha256:f9c2dd8ce9f2e3634e14322ada90093d21b13669b514cf2e0a96f31606ac1ba1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.620037Z digest=sha256:7ab91a97718a86d31862797549b9cea529d7ac65ca1f7bb2c85746665d16ae47

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.624511Z digest=sha256:e4cbf6b5acadb6fa6ea745337bba329351244d645dd2c7e407b5bfebb36bcf73

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.629011Z digest=sha256:48faabae09c437329c325308f5029c41cc43d16d9bb7307b2112900c858be733

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.633631Z digest=sha256:65e9fc0c323670ca8b8a2bb93fec0445022ca8aff5c2417b5a215baf9da2cf74

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.638089Z digest=sha256:84a9e69807487e5e51e823414be9fc71c0d8e93442880dafce34a0dd4bd3111e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.642554Z digest=sha256:a2d41ac80ed2a91ebe90acfef451de13213608327ece283cbec28cffd2e28af0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.646989Z digest=sha256:732c0611b203d4b67c45b2d429d71cbd897e208b4472f21f2021667db99872a2

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.651400Z digest=sha256:1ff382efb83b28ddee6995949ad44686d7ad6c9632589c750763035d0defbc63

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.655948Z digest=sha256:af90b4ba8ad9d3103cc7107d7277d43b9f581bb5937ae16e3decd35c283e3faa

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.660351Z digest=sha256:62db8e876bf1355a14de8c42b1bd09955dbd5e289629d891f8b211dcd96041c0

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.664743Z digest=sha256:b7ad352ffe0d14a991d5566af4be2a9a71dbcce2b802329d6b3189b80d6c0b94

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.669727Z digest=sha256:4de8590adcd1915dc1bc73ac8dd857e77b95473795459fbb963e603f060faba1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.674026Z digest=sha256:62d83f0e1d86a3aee1680e160d4f803792ccd4e69ce9a051486ef5686e618a60

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

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:22:57.678417Z digest=sha256:06814e5542de6e1f7f57fc747948cfa0c385c40eb89024b8c7833317048f8584

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.683393Z digest=sha256:bbc7a33a08e3fe06125c55bd8063f62df3e9769538a1e250069019c5096040a9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-06T11:22:57.687680Z digest=sha256:4736e8cf96847927c756030731309501d7f22df0004b54d2d5ad6871847ba425

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T11:22:57.694266Z digest=sha256:bb7eebcd70634dd4310a3a25bca45d6811ae58ce9f5e97b1a5c77d880a209961

Pith citing papers

No inbound Pith citation observations are available.