Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T05:51:37.964989Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T05:51:37.964989Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation df196abf-4f27-4018-86a0-d7b80c0018e8 · outbound
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
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
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
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
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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Observation c1787d5b-4fb0-4278-b626-28d30b15cc8b · outbound
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
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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Observation a4e5aab9-0e52-4c2a-83fe-9dafe188bbb2 · outbound
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
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
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
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
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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Observation 603788f4-4f34-4ed5-95e1-f4e87df9294d · outbound
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
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
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
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
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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Observation f603750d-a69b-46fb-a85d-80e1d842b619 · outbound
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
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
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
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
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
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
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
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
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
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
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
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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Observation 982ff3da-c32d-4859-ad33-6c28703c644d · outbound
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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Observation 722c558b-b8ae-4006-b7a9-2f6cebc891a2 · outbound
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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Observation 8cb71a90-c227-4fff-8518-84010a12b4b0 · outbound
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
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
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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Observation a9bda647-3273-4c26-98e2-2f930126f14d · outbound
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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Observation 1cef6b4e-48c0-4794-ab27-db1820c5c9c8 · outbound
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
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
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
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
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
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
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
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
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
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
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
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
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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No inbound Pith citation observations are available.