Paper Citation Record · LEDGER

Evaluating Deepfake Detectors in the Wild

As of 23 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2507.21905.

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

pith.paper-citation-record.v1
2507.21905 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:20:11.997740Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:45:26.498459Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T11:45:29.115849Z

Reference resolution

71 of 71 outbound references displayed

verified exact0
verified fuzzy25
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7223ee0-856e-40c2-9f67-90d89635f40f · outbound

This paper cites write newline.

Evaluating Deepfake Detectors in the Wild write newline

Reference 1

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Observation d96cceaf-a3b3-4989-b835-b6a966355653 · outbound

This paper cites Large scale GAN training for high fidelity natural image synthesis.

Evaluating Deepfake Detectors in the Wild Large scale GAN training for high fidelity natural image synthesis

Reference 2

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Observation f12fa896-ade3-45f1-8167-d7be159db42c · outbound

This paper cites and Tzimiropoulos, G.

Evaluating Deepfake Detectors in the Wild and Tzimiropoulos, G

Reference 3

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Observation 374a00cd-5ce9-470a-ba4b-b34a3fe4eb19 · outbound

This paper cites Roop unleashed.

Evaluating Deepfake Detectors in the Wild Roop unleashed

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:13.196184Z

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Observation 54f5df6f-4c55-4bfc-8fab-2bc3f61c2e0a · outbound

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

Evaluating Deepfake Detectors in the Wild End-to-end reconstruction-classification learning for face forgery detection

Reference 5

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Observation 4ff1d87f-7e98-4517-a11b-93761d1c50f1 · outbound

This paper cites M., and Zisserman, A.

Evaluating Deepfake Detectors in the Wild M., and Zisserman, A

Reference 6

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Observation 956eb4f1-9b8e-45be-9519-6425e970eb9c · outbound

This paper cites Simswap: An efficient framework for high fidelity face swapping.

Evaluating Deepfake Detectors in the Wild Simswap: An efficient framework for high fidelity face swapping

Reference 7

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Observation 9150588e-bc2c-4328-8464-df27b0081a25 · outbound

This paper cites Xception: Deep learning with depthwise separable convolutions.

Evaluating Deepfake Detectors in the Wild Xception: Deep learning with depthwise separable convolutions

Reference 8

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Observation c2775ef6-4824-471c-b2e4-dd1b49ced0f7 · outbound

This paper cites Arcface: Additive angular margin loss for deep face recognition.

Evaluating Deepfake Detectors in the Wild Arcface: Additive angular margin loss for deep face recognition

Reference 9

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Observation fb4b513a-55e2-4299-8a75-7545a58aa643 · outbound

This paper cites Exemplar guided face image super-resolution without facial landmarks.

Evaluating Deepfake Detectors in the Wild Exemplar guided face image super-resolution without facial landmarks

Reference 10

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Observation bb71f2af-158d-41e9-bfe0-a9b98194a77d · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

Evaluating Deepfake Detectors in the Wild The DeepFake Detection Challenge (DFDC) Dataset

Reference 11

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Observation c3e55042-96b1-4e91-b0b7-ff26e81f54ce · outbound

This paper cites Implicit identity leakage: The stumbling block to improving deepfake detection generalization.

Evaluating Deepfake Detectors in the Wild Implicit identity leakage: The stumbling block to improving deepfake detection generalization

Reference 12

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Observation 9da81448-facc-48dc-b0ef-d4b1982c82d7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Evaluating Deepfake Detectors in the Wild An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 13

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Observation 18ce4e50-3163-4824-8e79-553899957ee9 · outbound

This paper cites Faceswapper.ai.

Evaluating Deepfake Detectors in the Wild Faceswapper.ai

Reference 14

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Observation 33defc56-4e8a-4298-b197-e22e475d57f1 · outbound

This paper cites an unresolved cited work.

Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 15

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Observation 5cee928f-21b0-40e0-a0ec-121a66768c4d · outbound

This paper cites J., Pouget - Abadie, J., Mirza, M., Xu, B., Warde - Farley, D., Ozair, S., Courville, A.

Evaluating Deepfake Detectors in the Wild J., Pouget - Abadie, J., Mirza, M., Xu, B., Warde - Farley, D., Ozair, S., Courville, A

Reference 16

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Observation be633f9b-5471-43ed-8764-d4a7f2fd4be8 · outbound

This paper cites Google colab.

Evaluating Deepfake Detectors in the Wild Google colab

Reference 17

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Observation 5daaa76d-9e68-444d-a515-0c0fe5f302f9 · outbound

This paper cites an unresolved cited work.

Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 18

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Observation 02f5db7d-0571-4525-8ea7-c27662c93c7b · outbound

This paper cites Deepfake detection using deep learning methods: A systematic and comprehensive review.

Evaluating Deepfake Detectors in the Wild Deepfake detection using deep learning methods: A systematic and comprehensive review

Reference 19

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Observation 419ec216-e7be-4a62-aa2c-b9dc8421fe62 · outbound

This paper cites Denoising diffusion probabilistic models.

Evaluating Deepfake Detectors in the Wild Denoising diffusion probabilistic models

Reference 20

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Observation 8ccb8488-376d-43ad-8e6c-625ca6a52acd · outbound

This paper cites Feat: Face editing with attention, 2022.

Evaluating Deepfake Detectors in the Wild Feat: Face editing with attention, 2022

Reference 21

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Observation aa52459e-f247-4986-8b5e-0f2bc5d27af5 · outbound

This paper cites B., Ramesh, M., Berg, T., and Learned-Miller, E.

Evaluating Deepfake Detectors in the Wild B., Ramesh, M., Berg, T., and Learned-Miller, E

Reference 22

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Observation f32d3245-a386-44e7-9bfb-4e5941e7a9ee · outbound

This paper cites Faking fake news for real fake news detection: Propaganda-loaded training data generation, 2023.

Evaluating Deepfake Detectors in the Wild Faking fake news for real fake news detection: Propaganda-loaded training data generation, 2023

Reference 23

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Observation dd49fdc4-f3aa-45b5-924f-30286922518c · outbound

This paper cites and Belongie, S.

Evaluating Deepfake Detectors in the Wild and Belongie, S

Reference 24

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Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 25

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Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 26

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Observation 1432944d-c80c-454d-a50a-e84ad84e482a · outbound

This paper cites and Joo, J.

Evaluating Deepfake Detectors in the Wild and Joo, J

Reference 27

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Observation ed5d7457-90ad-4c15-be0e-138ad747d800 · outbound

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

Evaluating Deepfake Detectors in the Wild Progressive growing of GAN s for improved quality, stability, and variation

Reference 28

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

Evaluating Deepfake Detectors in the Wild A style-based generator architecture for generative adversarial networks

Reference 29

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This paper cites Diffface: Diffusion-based face swapping with facial guidance, 2022.

Evaluating Deepfake Detectors in the Wild Diffface: Diffusion-based face swapping with facial guidance, 2022

Reference 30

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Observation 63f3bc2f-b30b-4e30-88fd-0047a2b0c29c · outbound

This paper cites Why do facial deepfake detectors fail? In Proceedings of the 2nd Workshop on Security Implications of Deepfakes and Cheapfakes, pp.\ 24--28, 2023.

Evaluating Deepfake Detectors in the Wild Why do facial deepfake detectors fail? In Proceedings of the 2nd Workshop on Security Implications of Deepfakes and Cheapfakes, pp.\ 24--28, 2023

Reference 31

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This paper cites FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping.

Evaluating Deepfake Detectors in the Wild FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

Reference 32

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This paper cites V., Roy-Chowdhury, A.

Evaluating Deepfake Detectors in the Wild V., Roy-Chowdhury, A

Reference 33

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This paper cites Learning warped guidance for blind face restoration.

Evaluating Deepfake Detectors in the Wild Learning warped guidance for blind face restoration

Reference 34

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This paper cites Celeb-df: A large-scale challenging dataset for deepfake forensics.

Evaluating Deepfake Detectors in the Wild Celeb-df: A large-scale challenging dataset for deepfake forensics

Reference 35

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This paper cites Few-shot unsupervised image-to-image translation.

Evaluating Deepfake Detectors in the Wild Few-shot unsupervised image-to-image translation

Reference 36

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Evaluating Deepfake Detectors in the Wild Blendgan: Implicitly gan blending for arbitrary stylized face generation

Reference 37

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This paper cites Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges.

Evaluating Deepfake Detectors in the Wild Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 38

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Evaluating Deepfake Detectors in the Wild Fooocus-inswapper

Reference 39

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This paper cites Dragondiffusion: Enabling drag-style manipulation on diffusion models, 2023.

Evaluating Deepfake Detectors in the Wild Dragondiffusion: Enabling drag-style manipulation on diffusion models, 2023

Reference 40

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Observation f357c8a1-e2e9-44ec-8ad7-844b939867a1 · outbound

This paper cites FSGAN : Subject agnostic face swapping and reenactment.

Evaluating Deepfake Detectors in the Wild FSGAN : Subject agnostic face swapping and reenactment

Reference 41

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Evaluating Deepfake Detectors in the Wild Fsganv2: Improved subject agnostic face swapping and reenactment

Reference 42

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This paper cites A., Jodas, D., da Costa, K.

Evaluating Deepfake Detectors in the Wild A., Jodas, D., da Costa, K

Reference 43

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This paper cites DeepFaceLab: Integrated, flexible and extensible face-swapping framework.

Evaluating Deepfake Detectors in the Wild DeepFaceLab: Integrated, flexible and extensible face-swapping framework

Reference 44

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Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 45

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This paper cites Hierarchical text-conditional image generation with clip latents, 2022.

Evaluating Deepfake Detectors in the Wild Hierarchical text-conditional image generation with clip latents, 2022

Reference 46

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Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 47

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Observation 38956f37-a09a-46af-b440-95f5eb60f2f2 · outbound

This paper cites Towards the Detection of Diffusion Model Deepfakes.

Evaluating Deepfake Detectors in the Wild Towards the Detection of Diffusion Model Deepfakes

Reference 48

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Evaluating Deepfake Detectors in the Wild High-resolution image synthesis with latent diffusion models

Reference 49

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This paper cites Faceforensics++: Learning to detect manipulated facial images.

Evaluating Deepfake Detectors in the Wild Faceforensics++: Learning to detect manipulated facial images

Reference 50

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This paper cites Deep learning meets liveness detection: Recent advancements and challenges, 2021.

Evaluating Deepfake Detectors in the Wild Deep learning meets liveness detection: Recent advancements and challenges, 2021

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.949715Z

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Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 52

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Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 53

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This paper cites Roop for stablediffusion.

Evaluating Deepfake Detectors in the Wild Roop for stablediffusion

Reference 54

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This paper cites and Yamasaki, T.

Evaluating Deepfake Detectors in the Wild and Yamasaki, T

Reference 55

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This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Evaluating Deepfake Detectors in the Wild Deep unsupervised learning using nonequilibrium thermodynamics

Reference 56

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Observation 5bcfffd2-1bd3-4038-87c1-f37abf43cf73 · outbound

This paper cites Swapface.

Evaluating Deepfake Detectors in the Wild Swapface

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.907289Z

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Observation faf17792-60ff-4594-93ee-164e3a3b41db · outbound

This paper cites and Le, Q.

Evaluating Deepfake Detectors in the Wild and Le, Q

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.897828Z

Source-reported events for the cited work

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

Observation 596f5298-ac0b-45f1-97bb-9cf7153c983f · outbound

This paper cites dali lives: museum brings artist back to life with ai.

Evaluating Deepfake Detectors in the Wild dali lives: museum brings artist back to life with ai

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.887989Z

Source-reported events for the cited work

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

Observation 0d9bcfc9-dbc7-40ec-be66-67cede88adae · outbound

This paper cites N., Kaiser, ., and Polosukhin, I.

Evaluating Deepfake Detectors in the Wild N., Kaiser, ., and Polosukhin, I

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T12:20:11.958830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ee04442-a132-4629-98ab-e6e0d41b2acd · outbound

This paper cites an unresolved cited work.

Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:20:12.872634Z

Source-reported events for the cited work

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

Observation 1bcb22e2-aa28-4f64-98ad-352aae5a3c31 · outbound

This paper cites M2tr: Multi-modal multi-scale transformers for deepfake detection.

Evaluating Deepfake Detectors in the Wild M2tr: Multi-modal multi-scale transformers for deepfake detection

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T12:20:11.966971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5c8d2f-519d-44b7-b278-66572701ce50 · outbound

This paper cites High-resolution image synthesis and semantic manipulation with conditional gans.

Evaluating Deepfake Detectors in the Wild High-resolution image synthesis and semantic manipulation with conditional gans

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-06T12:20:11.971122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d62aaa2b-61d2-4224-b458-cb6cf33e456e · outbound

This paper cites Few-shot classification with feature map reconstruction networks.

Evaluating Deepfake Detectors in the Wild Few-shot classification with feature map reconstruction networks

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T12:20:11.974575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8002762b-f288-44af-abed-ec7949f6e615 · outbound

This paper cites High-fidelity 3d face generation from natural language descriptions.

Evaluating Deepfake Detectors in the Wild High-fidelity 3d face generation from natural language descriptions

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.851080Z

Source-reported events for the cited work

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

Observation b5f10703-0059-4aa2-ab7a-d179e6db9341 · outbound

This paper cites Gan prior embedded network for blind face restoration in the wild.

Evaluating Deepfake Detectors in the Wild Gan prior embedded network for blind face restoration in the wild

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.841607Z

Source-reported events for the cited work

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

Observation 39abdea1-ad49-4460-bc13-29e4bb41987d · outbound

This paper cites Y., and Zhao, Y.

Evaluating Deepfake Detectors in the Wild Y., and Zhao, Y

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.831651Z

Source-reported events for the cited work

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

Observation 38e2928e-9d5e-4471-a2b0-bbfe3ea212c2 · outbound

This paper cites Dagp-face restorer: Blind face restoration network with domain-aligned generative prior.

Evaluating Deepfake Detectors in the Wild Dagp-face restorer: Blind face restoration network with domain-aligned generative prior

Reference 68

Resolution: metadata mismatch; raw_fallback, observed 2026-08-06T12:20:12.109642Z

Source-reported events for the cited work

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

Observation f7c989cf-3294-4f24-ac04-bbca78714c93 · outbound

This paper cites Multi-attentional deepfake detection.

Evaluating Deepfake Detectors in the Wild Multi-attentional deepfake detection

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-06T12:20:11.991023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0513ea75-0deb-45ac-b073-a1c5a7420339 · outbound

This paper cites an unresolved cited work.

Evaluating Deepfake Detectors in the Wild Unresolved cited work

Reference 70

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:20:12.816880Z

Source-reported events for the cited work

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

Observation b2493a0e-bec3-4f7c-a16d-35894f6eaa2d · outbound

This paper cites V., and Zafarani, R.

Evaluating Deepfake Detectors in the Wild V., and Zafarani, R

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:20:12.807167Z

Source-reported events for the cited work

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

Pith citing papers

Observation 33751ec3-8a2c-4f31-ad8a-6747091f1f93 · inbound

Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.

Visual Language Models as Zero-Shot Deepfake Detectors Evaluating Deepfake Detectors in the Wild

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:45:29.158094Z

Source-reported events for the cited work

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

Observation a9606139-aa4b-4f6b-9663-baace752f2e3 · inbound

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System cites this paper.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Evaluating Deepfake Detectors in the Wild

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T05:51:34.041926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.