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Paper Citation Record · LEDGER

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

As of 14 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.13234.

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

pith.paper-citation-record.v1
2607.13234 v1

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:51:37.964989Z

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation df196abf-4f27-4018-86a0-d7b80c0018e8 · outbound

This paper cites Orthogonal subspace decomposition for gen- eralizable AI-generated image detection (Effort),.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Orthogonal subspace decomposition for gen- eralizable AI-generated image detection (Effort),

Reference 1

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Observation d501eec2-d658-4b70-b5b8-2ba56f5fd815 · outbound

This paper cites GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image

Reference 2

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Observation e4e35aa7-18d3-4d08-b785-7f330b92ea96 · outbound

This paper cites Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Deepfake-Eval-2024: A Multi-Modal In-the-Wild Benchmark of Deepfakes Circulated in 2024

Reference 3

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Observation 211e6269-03ee-4a75-a547-b040f08d5d31 · outbound

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

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System A Sanity Check for AI-generated Image Detection

Reference 4

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

This paper cites Evaluating Deepfake Detectors in the Wild.

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

Reference 5

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source=pdf_text observed=2026-08-02T05:51:34.041926Z digest=sha256:6ea15faac5a7fa16b94262258fcb689c2ee8ee73f91b477cb8d911b9c46c0155

Observation c1787d5b-4fb0-4278-b626-28d30b15cc8b · outbound

This paper cites Fit for purpose? Deepfake detection in the real world,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Fit for purpose? Deepfake detection in the real world,

Reference 6

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Observation 15b505f8-f97b-4814-a3c2-6fffca30618f · outbound

This paper cites How effective are publicly accessible Deepfake detection tools? a comparative evaluation of open-source and free-to-use platforms,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System How effective are publicly accessible Deepfake detection tools? a comparative evaluation of open-source and free-to-use platforms,

Reference 7

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source=pdf_text observed=2026-08-02T05:51:34.320361Z digest=sha256:f61b1ead16550822a7ecc8c2ce4b543ed6f62b359f2fd1519ec2ddb0587b2dc8

Observation a4e5aab9-0e52-4c2a-83fe-9dafe188bbb2 · outbound

This paper cites Perfor- mance decay in Deepfake detection: The limitations of train- ing on outdated data,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Perfor- mance decay in Deepfake detection: The limitations of train- ing on outdated data,

Reference 8

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Observation 0581d0b4-47fb-4acf-84cd-ba5efa4eb716 · outbound

This paper cites Community forensics: Using thou- sands of generators to train fake image detectors,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Community forensics: Using thou- sands of generators to train fake image detectors,

Reference 9

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Observation 7caa0111-5421-4c21-bebe-95d7fff04c00 · outbound

This paper cites FaceForensics++: Learning to Detect Manipulated Facial Images.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System FaceForensics++: Learning to Detect Manipulated Facial Images

Reference 10

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Observation 89862922-1080-408f-b798-1119b743a742 · outbound

This paper cites Detecting Deepfakes with Self-Blended Images.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Detecting Deepfakes with Self-Blended Images

Reference 11

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Observation 7db577a2-a256-4db9-9924-ed55e0c28a38 · outbound

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

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Implicit identity leakage: The stumbling block to improving Deepfake detection generalization,

Reference 12

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source=pdf_text observed=2026-08-02T05:51:34.755716Z digest=sha256:ac34fbd2ec4e6608db2f969656a24af5899bc2443ea66d7274e15b209464d6ee

Observation 603788f4-4f34-4ed5-95e1-f4e87df9294d · outbound

This paper cites Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection

Reference 13

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Observation abcda713-a258-4a98-b8b7-9be0fa540008 · outbound

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

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Towards universal fake image detectors that generalize across generative models,

Reference 14

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Observation 768abc80-e9da-4f69-ad10-4b57552d6dd5 · outbound

This paper cites Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Forgery-aware Adaptive Transformer for Generalizable Synthetic Image Detection

Reference 15

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Observation ade9e249-f1d9-4326-b3ab-ce531b331a93 · outbound

This paper cites C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System C2P-CLIP: Injecting Category Common Prompt in CLIP to Enhance Generalization in Deepfake Detection

Reference 16

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Observation 6d3699f4-ddfd-43ab-938d-7571a0897587 · outbound

This paper cites DIRE for Diffusion-Generated Image Detection.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System DIRE for Diffusion-Generated Image Detection

Reference 17

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source=pdf_text observed=2026-08-02T05:51:35.175570Z digest=sha256:05f9aa15929a7a5c1ac00c0dd67ec4704746ae4d9f19662a6b4761ad9d59d21a

Observation f603750d-a69b-46fb-a85d-80e1d842b619 · outbound

This paper cites DRCT: Diffusion reconstruction contrastive training towards universal detection of diffusion generated im- ages,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System DRCT: Diffusion reconstruction contrastive training towards universal detection of diffusion generated im- ages,

Reference 18

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Observation eb4ac465-239f-4c6e-821a-df255db110c0 · outbound

This paper cites Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Rethinking the Up-Sampling Operations in CNN-based Generative Network for Generalizable Deepfake Detection

Reference 19

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Observation 778cf27f-896c-4433-81a3-fbf938295abf · outbound

This paper cites A Bias-Free Training Paradigm for More General AI-generated Image Detection.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System A Bias-Free Training Paradigm for More General AI-generated Image Detection

Reference 20

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Observation b2781990-917e-4a70-bfba-2f295b1c74c0 · outbound

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

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics

Reference 21

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Observation b82256ba-5471-4d47-bc66-572e309952d2 · outbound

This paper cites FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System FakeShield: Explainable Image Forgery Detection and Localization via Multi-modal Large Language Models

Reference 22

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Observation 13e8cedc-195b-474d-866f-d545009a5a30 · outbound

This paper cites DeepfakeBench: A comprehensive benchmark of Deepfake detection,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System DeepfakeBench: A comprehensive benchmark of Deepfake detection,

Reference 23

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Observation c50fc286-500d-41a2-b6f5-c304f57eeef6 · outbound

This paper cites DF40: Toward Next-Generation Deepfake Detection.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System DF40: Toward Next-Generation Deepfake Detection

Reference 24

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Observation af447701-53ae-4b7e-93ea-85c98c999069 · outbound

This paper cites Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Fake or JPEG? Revealing Common Biases in Generated Image Detection Datasets

Reference 25

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Observation 87590f8e-cafb-4f7f-ab12-f38fb0141b5b · outbound

This paper cites DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Reference 26

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Observation 21984d87-63f4-4153-8156-73351c2ac647 · outbound

This paper cites GenVidBench: A challenging bench- mark for detecting AI-generated video,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System GenVidBench: A challenging bench- mark for detecting AI-generated video,

Reference 27

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Observation b848f7b3-2043-4b99-980a-c9b6b3d7d635 · outbound

This paper cites AI-GenBench: A new ongoing benchmark for AI-generated image detection,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System AI-GenBench: A new ongoing benchmark for AI-generated image detection,

Reference 28

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Observation 975ca039-3c8d-46fa-a82c-149376b55ea1 · outbound

This paper cites Survival of the fittest detec- tors: A decentralized framework for evolving Deep- fake detection,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Survival of the fittest detec- tors: A decentralized framework for evolving Deep- fake detection,

Reference 29

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source=pdf_text observed=2026-08-02T05:51:36.184746Z digest=sha256:5d339d63b386d0b6d2a0a16ef3e0078b0dae3b857c514453d58828207a621023

Observation 982ff3da-c32d-4859-ad33-6c28703c644d · outbound

This paper cites A ConvNet for the 2020s.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System A ConvNet for the 2020s

Reference 30

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source=pdf_text observed=2026-08-02T05:51:36.253921Z digest=sha256:1c3cff700095fdefccfe6aa7e69b4d39098c207465ce72241044bff8564c5a51

Observation 722c558b-b8ae-4006-b7a9-2f6cebc891a2 · outbound

This paper cites EVA-02: A Visual Representation for Neon Genesis.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System EVA-02: A Visual Representation for Neon Genesis

Reference 31

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source=pdf_text observed=2026-08-02T05:51:36.334191Z digest=sha256:d73a8a01eb574c4eeca1ed7845044b8a2ed6064b0c91d0e9d43b5a1f970c9c45

Observation 8cb71a90-c227-4fff-8518-84010a12b4b0 · outbound

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

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Learning Transferable Visual Models From Natural Language Supervision

Reference 32

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Observation f951eb56-1184-4ce3-893f-0b9707a99d30 · outbound

This paper cites DINOv3.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System DINOv3

Reference 33

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Observation aa201553-194a-4f65-81b5-c4ac82ba50a9 · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 34

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source=pdf_text observed=2026-08-02T05:51:36.552419Z digest=sha256:58a4b8f16dceae1bccd256ba5ba79f369db49aa52ad48b5d2ead3430baf64c48

Observation a9bda647-3273-4c26-98e2-2f930126f14d · outbound

This paper cites Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Reference 35

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source=pdf_text observed=2026-08-02T05:51:36.645630Z digest=sha256:18b1a767ab4d7a20e0156a9d0aef4893263b6f390c94313db7ab76371f7ccd76

Observation 1cef6b4e-48c0-4794-ab27-db1820c5c9c8 · outbound

This paper cites Is artificial intelligence generated image detection a solved problem? (AIGIBench),.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Is artificial intelligence generated image detection a solved problem? (AIGIBench),

Reference 36

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Observation 42615dd6-65f7-4fa6-bd6a-54633a078501 · outbound

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

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Real-Time Deepfake Detection in the Real-World

Reference 37

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Observation 50e2acd9-e75e-49f8-9163-87c5aff1eb26 · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System RAID: A dataset for testing the adversar- ial robustness of AI-generated image detectors,

Reference 38

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Observation 9903141a-3090-4f0d-b929-b741179584ee · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System CNN-generated images are surprisingly easy to spot... for now

Reference 39

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Observation f853940d-9699-4094-941e-1630e9cd11e6 · outbound

This paper cites Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Tracing Hyperparameter Dependencies for Model Parsing via Learnable Graph Pooling Network

Reference 40

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Observation a9ea8847-5cdc-4fe3-b84d-c93c0e13ca67 · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach,

Reference 41

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Observation 7022e3fd-2070-4600-841d-de70df47e9a9 · outbound

This paper cites Celeb-DF: A large- scale challenging dataset for DeepFake forensics,.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Celeb-DF: A large- scale challenging dataset for DeepFake forensics,

Reference 42

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Observation a3eea77e-3823-4554-ac25-0e76b43a916c · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System The DeepFake Detection Challenge (DFDC) Dataset

Reference 43

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Observation 5ab031b7-9103-430d-a0fe-5caa96f68025 · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System SimSwap: An Efficient Framework For High Fidelity Face Swapping

Reference 44

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Observation e8e12c46-6750-4d53-9e99-4370918e4509 · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System GAN Prior Embedded Network for Blind Face Restoration in the Wild

Reference 45

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Observation 5a8c8160-ffb4-408b-a124-5ca4ebffc132 · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Exposing DeepFake Videos By Detecting Face Warping Artifacts

Reference 46

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Observation 7521dcab-63b4-41ea-b5f1-5280b37da3b5 · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Celeb-DF++: A Large-scale Challenging Video DeepFake Benchmark for Generalizable Forensics

Reference 47

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Observation 3cfafa4d-3bfe-4ec7-8d82-7cf4c459340c · outbound

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Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System Scalable high-resolution pixel- space image synthesis with Hourglass diffusion transformers,

Reference 48

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