Visual Language Models as Zero-Shot Deepfake Detectors | Paper Citation Record

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This paper cites write newline.

Visual Language Models as Zero-Shot Deepfake Detectors write newline

Reference 1

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This paper cites Flamingo: a Visual Language Model for Few-Shot Learning.

Visual Language Models as Zero-Shot Deepfake Detectors Flamingo: a Visual Language Model for Few-Shot Learning

Reference 2

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

Visual Language Models as Zero-Shot Deepfake Detectors Large scale GAN training for high fidelity natural image synthesis

Reference 3

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This paper cites Roop unleashed.

Visual Language Models as Zero-Shot Deepfake Detectors Roop unleashed

Reference 4

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

Visual Language Models as Zero-Shot Deepfake Detectors End-to-end reconstruction-classification learning for face forgery detection

Reference 5

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This paper cites M., and Zisserman, A.

Visual Language Models as Zero-Shot Deepfake Detectors M., and Zisserman, A

Reference 6

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This paper cites AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors.

Visual Language Models as Zero-Shot Deepfake Detectors AntifakePrompt: Prompt-Tuned Vision-Language Models are Fake Image Detectors

Reference 7

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

Visual Language Models as Zero-Shot Deepfake Detectors Simswap: An efficient framework for high fidelity face swapping

Reference 8

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Observation dcd0eef2-ce9b-4277-9464-1b7a72f143b5 · outbound

This paper cites Local Relation Learning for Face Forgery Detection.

Visual Language Models as Zero-Shot Deepfake Detectors Local Relation Learning for Face Forgery Detection

Reference 9

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Observation 58adea83-b287-460e-b8b4-748e978dfe5b · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors Xception: Deep learning with depthwise separable convolutions

Reference 10

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Visual Language Models as Zero-Shot Deepfake Detectors Unresolved cited work

Reference 11

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Observation c52c6a3e-714a-487b-9bd8-b5d4dcf8eb05 · outbound

This paper cites InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning.

Visual Language Models as Zero-Shot Deepfake Detectors InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

Reference 12

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Visual Language Models as Zero-Shot Deepfake Detectors DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 13

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Observation a7ba93c4-b437-4bca-84e4-c819341c01fb · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors Arcface: Additive angular margin loss for deep face recognition

Reference 14

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Observation 0844cb37-fe0e-4e30-999e-d600b69618ad · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors The DeepFake Detection Challenge (DFDC) Dataset

Reference 15

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Observation 90be74f7-7faa-4504-a1a3-ca14fac78960 · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors Implicit identity leakage: The stumbling block to improving deepfake detection generalization

Reference 16

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Observation bf6f11b3-47d6-4648-b225-a4f6200908b5 · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 17

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This paper cites Asking chatgpt to generate a random number.

Visual Language Models as Zero-Shot Deepfake Detectors Asking chatgpt to generate a random number

Reference 18

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Observation f9c41a9e-8d14-489c-bbc6-a083d91002ad · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors J., Pouget - Abadie, J., Mirza, M., Xu, B., Warde - Farley, D., Ozair, S., Courville, A

Reference 19

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Observation be4e6da1-04ee-4dae-b684-914383a0f6be · outbound

This paper cites Google colab.

Visual Language Models as Zero-Shot Deepfake Detectors Google colab

Reference 20

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Visual Language Models as Zero-Shot Deepfake Detectors Unresolved cited work

Reference 21

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Visual Language Models as Zero-Shot Deepfake Detectors Unresolved cited work

Reference 22

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Observation 476c3118-dcd6-4d90-99c4-09d305e0b016 · outbound

This paper cites Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection.

Visual Language Models as Zero-Shot Deepfake Detectors Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

Reference 23

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

Visual Language Models as Zero-Shot Deepfake Detectors Deepfake detection using deep learning methods: A systematic and comprehensive review

Reference 24

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This paper cites The Curious Case of Neural Text Degeneration.

Visual Language Models as Zero-Shot Deepfake Detectors The Curious Case of Neural Text Degeneration

Reference 25

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This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Visual Language Models as Zero-Shot Deepfake Detectors A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 26

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This paper cites and Belongie, S.

Visual Language Models as Zero-Shot Deepfake Detectors and Belongie, S

Reference 27

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Visual Language Models as Zero-Shot Deepfake Detectors Unresolved cited work

Reference 28

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This paper cites Perceiver: General Perception with Iterative Attention.

Visual Language Models as Zero-Shot Deepfake Detectors Perceiver: General Perception with Iterative Attention

Reference 29

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Observation 24010e10-2f9e-4ddb-8682-3aa945e3fea6 · outbound

This paper cites Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics.

Visual Language Models as Zero-Shot Deepfake Detectors Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics

Reference 30

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Visual Language Models as Zero-Shot Deepfake Detectors Unresolved cited work

Reference 31

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This paper cites DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection.

Visual Language Models as Zero-Shot Deepfake Detectors DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

Reference 32

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

Visual Language Models as Zero-Shot Deepfake Detectors Progressive Growing of GANs for Improved Quality, Stability, and Variation

Reference 33

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

Visual Language Models as Zero-Shot Deepfake Detectors A style-based generator architecture for generative adversarial networks

Reference 34

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This paper cites Grounding Language Models to Images for Multimodal Inputs and Outputs.

Visual Language Models as Zero-Shot Deepfake Detectors Grounding Language Models to Images for Multimodal Inputs and Outputs

Reference 35

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This paper cites What matters when building vision-language models?.

Visual Language Models as Zero-Shot Deepfake Detectors What matters when building vision-language models?

Reference 36

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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.

Visual Language Models as Zero-Shot Deepfake Detectors Why do facial deepfake detectors fail? In Proceedings of the 2nd Workshop on Security Implications of Deepfakes and Cheapfakes, pp.\ 24--28, 2023

Reference 37

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Observation c1786cf5-8db9-4569-b38c-bcbf41ffaa1e · outbound

This paper cites ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images.

Visual Language Models as Zero-Shot Deepfake Detectors ADD: Frequency Attention and Multi-View based Knowledge Distillation to Detect Low-Quality Compressed Deepfake Images

Reference 38

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Observation 2144c11a-1e7a-471a-b944-a6a88d556c84 · outbound

This paper cites Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning.

Visual Language Models as Zero-Shot Deepfake Detectors Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning

Reference 39

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Observation c24bd814-709e-4af0-8fdc-4b0ca17eda71 · outbound

This paper cites SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework.

Visual Language Models as Zero-Shot Deepfake Detectors SoK: Systematization and Benchmarking of Deepfake Detectors in a Unified Framework

Reference 40

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Observation ed8c2d38-64ab-4837-a083-f34616d960c3 · outbound

This paper cites BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation.

Visual Language Models as Zero-Shot Deepfake Detectors BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Reference 41

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This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Visual Language Models as Zero-Shot Deepfake Detectors BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 42

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

Visual Language Models as Zero-Shot Deepfake Detectors FaceShifter: Towards High Fidelity And Occlusion Aware Face Swapping

Reference 43

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This paper cites Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics.

Visual Language Models as Zero-Shot Deepfake Detectors Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics

Reference 44

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Observation 996d382f-c1f8-4f29-8a5c-71f8774efeb0 · outbound

This paper cites FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models.

Visual Language Models as Zero-Shot Deepfake Detectors FakeBench: Probing Explainable Fake Image Detection via Large Multimodal Models

Reference 45

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Observation 0cf3b36d-95ea-4b86-a22c-14056a2d00d8 · outbound

This paper cites Microsoft COCO: Common Objects in Context.

Visual Language Models as Zero-Shot Deepfake Detectors Microsoft COCO: Common Objects in Context

Reference 46

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Observation cdd91f71-5351-4fcd-b5ae-b8fd53c40d37 · outbound

This paper cites Visual Instruction Tuning.

Visual Language Models as Zero-Shot Deepfake Detectors Visual Instruction Tuning

Reference 47

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This paper cites Improved Baselines with Visual Instruction Tuning.

Visual Language Models as Zero-Shot Deepfake Detectors Improved Baselines with Visual Instruction Tuning

Reference 48

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

Visual Language Models as Zero-Shot Deepfake Detectors Few-shot unsupervised image-to-image translation

Reference 49

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Observation f2da1ff6-0ed7-4b07-b2b5-e1504fdbd827 · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors Evolving from Single-modal to Multi-modal Facial Deepfake Detection: Progress and Challenges

Reference 50

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This paper cites Decoupled Weight Decay Regularization.

Visual Language Models as Zero-Shot Deepfake Detectors Decoupled Weight Decay Regularization

Reference 51

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This paper cites Fooocus-inswapper.

Visual Language Models as Zero-Shot Deepfake Detectors Fooocus-inswapper

Reference 52

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Observation 064f268a-0ad8-4701-91ee-f6a3e1b5aa67 · outbound

This paper cites Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos.

Visual Language Models as Zero-Shot Deepfake Detectors Capsule-Forensics: Using Capsule Networks to Detect Forged Images and Videos

Reference 53

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Observation 581ba759-aa66-46fc-a5b2-70c0b24226bb · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors FSGAN : Subject agnostic face swapping and reenactment

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:32.259174Z

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Observation 2e08be8a-56bb-4e43-b094-e8cfd1618678 · outbound

This paper cites Fsganv2: Improved subject agnostic face swapping and reenactment.

Visual Language Models as Zero-Shot Deepfake Detectors Fsganv2: Improved subject agnostic face swapping and reenactment

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:32.100286Z

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Observation db642755-0f83-40e3-8fe4-4ec1faf97c69 · outbound

This paper cites Introducing chatgpt.

Visual Language Models as Zero-Shot Deepfake Detectors Introducing chatgpt

Reference 56

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Observation d1aa9c40-b75d-485c-8c1f-c4007b004385 · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors DeepFaceLab: Integrated, flexible and extensible face-swapping framework

Reference 57

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

This paper cites Evaluating Deepfake Detectors in the Wild.

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 2026-08-08T06:32:00.761636+00:00.

Observation f92bcbd5-5b25-464d-817f-ace6d45dfcc0 · outbound

This paper cites Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues.

Visual Language Models as Zero-Shot Deepfake Detectors Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:26.632123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd5085ee-21ed-4f5f-a7b2-d8558e971fa0 · outbound

This paper cites Learning Transferable Visual Models From Natural Language Supervision.

Visual Language Models as Zero-Shot Deepfake Detectors Learning Transferable Visual Models From Natural Language Supervision

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:26.709415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccdb35f6-3104-4fad-9ed3-3bf5dbd09092 · outbound

This paper cites Towards the Detection of Diffusion Model Deepfakes.

Visual Language Models as Zero-Shot Deepfake Detectors Towards the Detection of Diffusion Model Deepfakes

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:26.801372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca7f0598-1c21-4f49-9ebc-54636cc792c2 · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors Faceforensics++: Learning to detect manipulated facial images

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:31.860567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 89ef0a4a-58d0-4d95-9dd6-5493dc68dff5 · outbound

This paper cites an unresolved cited work.

Visual Language Models as Zero-Shot Deepfake Detectors Unresolved cited work

Reference 63

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:45:31.706159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 70d74ecb-469d-4760-a5de-5d403bb00f20 · outbound

This paper cites an unresolved cited work.

Visual Language Models as Zero-Shot Deepfake Detectors Unresolved cited work

Reference 64

Resolution: unresolved; raw_fallback, observed 2026-08-06T11:45:31.569019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8da331f3-dbfb-458c-bdb3-a00c3f153202 · outbound

This paper cites Roop for stablediffusion.

Visual Language Models as Zero-Shot Deepfake Detectors Roop for stablediffusion

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:31.428041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 122db774-57d1-4d8f-89b3-effffe2f5bc6 · outbound

This paper cites SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models.

Visual Language Models as Zero-Shot Deepfake Detectors SHIELD : An Evaluation Benchmark for Face Spoofing and Forgery Detection with Multimodal Large Language Models

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:27.190125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64b52fa6-2b9d-43ce-8700-ff621625e2f3 · outbound

This paper cites and Yamasaki, T.

Visual Language Models as Zero-Shot Deepfake Detectors and Yamasaki, T

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:31.281946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f056eaa5-f34c-492e-88fd-0efcd9cf4eeb · outbound

This paper cites Adaptive face forgery detection in cross domain.

Visual Language Models as Zero-Shot Deepfake Detectors Adaptive face forgery detection in cross domain

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:31.118386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation edb631dc-2b45-49da-a226-7e20bd135df4 · outbound

This paper cites Fraud report 2024.

Visual Language Models as Zero-Shot Deepfake Detectors Fraud report 2024

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:30.996970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation be557504-c761-459d-8f67-7c4e1c4a3be6 · outbound

This paper cites Domain general face forgery detection by learning to weight.

Visual Language Models as Zero-Shot Deepfake Detectors Domain general face forgery detection by learning to weight

Reference 70

Resolution: verified exact; doi, observed 2026-08-06T11:45:28.584047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 51bca2af-f6cf-4721-be78-48c4e8a13c70 · outbound

This paper cites Dual Contrastive Learning for General Face Forgery Detection.

Visual Language Models as Zero-Shot Deepfake Detectors Dual Contrastive Learning for General Face Forgery Detection

Reference 71

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:45:29.000170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3242dacc-bdc1-486f-b0c9-dcd10431dfe6 · outbound

This paper cites Towards General Visual-Linguistic Face Forgery Detection.

Visual Language Models as Zero-Shot Deepfake Detectors Towards General Visual-Linguistic Face Forgery Detection

Reference 72

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:45:28.846168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e93d223-f7f7-4b26-a4c5-f38dde8a10f4 · outbound

This paper cites One detector to rule them all: Towards a general deepfake attack detection framework.

Visual Language Models as Zero-Shot Deepfake Detectors One detector to rule them all: Towards a general deepfake attack detection framework

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:27.732169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fed6a2f4-8f47-4efe-998d-c09bc89ce5ff · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Visual Language Models as Zero-Shot Deepfake Detectors Gemini: A Family of Highly Capable Multimodal Models

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:27.765687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e797c0e1-2da1-41fe-9ec7-02a7f135025d · outbound

This paper cites GPT-4 Technical Report.

Visual Language Models as Zero-Shot Deepfake Detectors GPT-4 Technical Report

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:27.834401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b9e6bf8-f24e-49ac-878b-58e01ebc5c4c · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors N., Kaiser, ., and Polosukhin, I

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:27.912205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 033ec6ec-0010-48b7-b332-bde310235ddd · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors M2tr: Multi-modal multi-scale transformers for deepfake detection

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:30.853215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cd3f2ce5-148b-4507-b408-577e93957ad0 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Visual Language Models as Zero-Shot Deepfake Detectors Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:27.994616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5e3ceea-3043-4d6a-98e6-93a516439731 · outbound

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

Visual Language Models as Zero-Shot Deepfake Detectors Few-shot classification with feature map reconstruction networks

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:30.738678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a19da922-fc32-42d2-91b9-f0850cb05a4b · outbound

This paper cites The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task.

Visual Language Models as Zero-Shot Deepfake Detectors The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:28.127701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce05cdf-f5ef-464c-98cd-7653e1b92e5b · outbound

This paper cites Hallucination is Inevitable: An Innate Limitation of Large Language Models.

Visual Language Models as Zero-Shot Deepfake Detectors Hallucination is Inevitable: An Innate Limitation of Large Language Models

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:28.242603Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 015561f2-1b4b-4833-8f37-51bee7b415cc · outbound

This paper cites CoCa: Contrastive Captioners are Image-Text Foundation Models.

Visual Language Models as Zero-Shot Deepfake Detectors CoCa: Contrastive Captioners are Image-Text Foundation Models

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:28.288418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ea7e7c9-e6d1-45e1-b5f2-89e8f7455b46 · outbound

This paper cites Common Sense Reasoning for Deepfake Detection.

Visual Language Models as Zero-Shot Deepfake Detectors Common Sense Reasoning for Deepfake Detection

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T11:45:28.334369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb7fd093-b6b8-40de-988b-423837addb8b · outbound

This paper cites Multi-attentional deepfake detection.

Visual Language Models as Zero-Shot Deepfake Detectors Multi-attentional deepfake detection

Reference 84

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:45:30.657639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Reference resolution

Outbound references

Pith citing papers