Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T10:31:25.780150Z
Paper Citation Record · LEDGER
Practical Manipulation Model for Robust Deepfake Detection
As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2506.05119.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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
Reference resolution
56 of 56 outbound references displayed
- verified exact2
- verified fuzzy30
- unresolved23
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a35ac7ab-9680-41c3-9a9e-a2e1976ebd4a · outbound
This paper cites Mesonet: a compact facial video forgery detection network.2018 IEEE International Workshop on Information Forensics and Security (WIFS), pages 1–7, 2018.
Practical Manipulation Model for Robust Deepfake Detection Mesonet: a compact facial video forgery detection network.2018 IEEE International Workshop on Information Forensics and Security (WIFS), pages 1–7, 2018
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.398067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 203fb46d-047d-46b3-931d-0781b792bbcd · outbound
This paper cites Who inadvertently shares deepfakes? an- alyzing the role of political interest, cognitive ability, and social network size.Telematics and Informatics, 57:101508,.
Practical Manipulation Model for Robust Deepfake Detection Who inadvertently shares deepfakes? an- alyzing the role of political interest, cognitive ability, and social network size.Telematics and Informatics, 57:101508,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.389064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4e9b1281-7ead-4095-8f4c-b80f76bf055c · outbound
This paper cites The devil is in the details: Stylefeatureeditor for detail-rich stylegan inversion and high quality image editing,.
Practical Manipulation Model for Robust Deepfake Detection The devil is in the details: Stylefeatureeditor for detail-rich stylegan inversion and high quality image editing,
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.614999Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 113d1aed-5a9e-475a-b568-34585cf660e2 · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.618484Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e8806a0d-1687-4fc0-8a9c-917a4871b6dc · outbound
This paper cites End-to-end reconstruction- classification learning for face forgery detection.
Practical Manipulation Model for Robust Deepfake Detection End-to-end reconstruction- classification learning for face forgery detection
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.368126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6f520307-b5ce-445c-82a4-2ef8650d2c4d · outbound
This paper cites Xception: Deep learning with depthwise separable convolutions.2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1800–1807,.
Practical Manipulation Model for Robust Deepfake Detection Xception: Deep learning with depthwise separable convolutions.2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 1800–1807,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.358640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c7de6752-85b4-41ca-a6ba-e65df051ace3 · outbound
This paper cites Pillow (pil fork) documentation, 2015.
Practical Manipulation Model for Robust Deepfake Detection Pillow (pil fork) documentation, 2015
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.627252Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d331df6d-2f8b-4a50-8c1b-4cdd3bf61b46 · outbound
This paper cites ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection.
Practical Manipulation Model for Robust Deepfake Detection ForensicTransfer: Weakly-supervised Domain Adaptation for Forgery Detection
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.630285Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4204a975-3566-4816-a4a8-6514d74c6761 · outbound
This paper cites deepfakes faceswap.https://github.
Practical Manipulation Model for Robust Deepfake Detection deepfakes faceswap.https://github
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.343739Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 028d32b2-34da-4874-ba8f-ccb7e6ec854c · outbound
This paper cites The Deepfake Detection Challenge (DFDC) Preview Dataset.
Practical Manipulation Model for Robust Deepfake Detection The Deepfake Detection Challenge (DFDC) Preview Dataset
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.636883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 222b7063-4ba4-4eee-b77f-71b6b478dd24 · outbound
This paper cites The DeepFake Detection Challenge (DFDC) Dataset.
Practical Manipulation Model for Robust Deepfake Detection The DeepFake Detection Challenge (DFDC) Dataset
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.640179Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 871ed51e-4570-4820-8c27-d73e32ddc059 · outbound
This paper cites Donald trump with boris johnson’s haircut.
Practical Manipulation Model for Robust Deepfake Detection Donald trump with boris johnson’s haircut
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.334891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f8b73f11-2bba-4915-9726-aa9a10791ed7 · outbound
This paper cites How ai tools fueled online conspiracy theo- ries after trump assassination attempt.https://dfrlab.
Practical Manipulation Model for Robust Deepfake Detection How ai tools fueled online conspiracy theo- ries after trump assassination attempt.https://dfrlab
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.326241Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation df9645f6-9a2e-4933-b408-eb59ce5e2721 · outbound
This paper cites Controllable guide-space for generalizable face forgery detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 20761–20770, 2023.
Practical Manipulation Model for Robust Deepfake Detection Controllable guide-space for generalizable face forgery detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 20761–20770, 2023
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.316908Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 73569010-936b-49c8-8246-3116e555d8af · outbound
This paper cites The social im- pact of deepfakes, 2021.
Practical Manipulation Model for Robust Deepfake Detection The social im- pact of deepfakes, 2021
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.307202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 44456ff5-a3c4-42a4-949b-458562341608 · outbound
This paper cites FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images.
Practical Manipulation Model for Robust Deepfake Detection FSBI: Deepfakes Detection with Frequency Enhanced Self-Blended Images
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.655421Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e7dccb3b-456a-40b6-9f7c-857b461a444a · outbound
This paper cites Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis.
Practical Manipulation Model for Robust Deepfake Detection Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.658604Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1cffdd0-0358-43c8-ab2a-f524f01c549a · outbound
This paper cites Deepvi- sion: Deepfakes detection using human eye blinking pattern.
Practical Manipulation Model for Robust Deepfake Detection Deepvi- sion: Deepfakes detection using human eye blinking pattern
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.298354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3406ebff-9e94-46f4-bd49-326b0c18b194 · outbound
This paper cites Faceswap.https://github.com/ MarekKowalski/FaceSwap, 2018.
Practical Manipulation Model for Robust Deepfake Detection Faceswap.https://github.com/ MarekKowalski/FaceSwap, 2018
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.287804Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f069dbac-8b37-402b-8a51-f564eb8c1e45 · outbound
This paper cites Seeable: Soft discrepancies and bounded contrastive learning for exposing deepfakes.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 20954–20964, 2022.
Practical Manipulation Model for Robust Deepfake Detection Seeable: Soft discrepancies and bounded contrastive learning for exposing deepfakes.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 20954–20964, 2022
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.278082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 14ceac88-0ce6-4987-a246-72941a66baaf · outbound
This paper cites Face x-ray for more general face forgery detection.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5000–5009, 2019.
Practical Manipulation Model for Robust Deepfake Detection Face x-ray for more general face forgery detection.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 5000–5009, 2019
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.268858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e76bc701-6a4d-4eb6-a293-433be1750294 · outbound
This paper cites Celeb-df: A large-scale challenging dataset for deep- fake forensics.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3204–3213,.
Practical Manipulation Model for Robust Deepfake Detection Celeb-df: A large-scale challenging dataset for deep- fake forensics.2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pages 3204–3213,
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.673940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bc33b42-04ab-4f4b-8d0d-2a3feeadd8d5 · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:31:26.253639Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c3c4e26-73ba-4cd0-9b53-a0dd2f681574 · outbound
This paper cites A new approach to im- prove learning-based deepfake detection in realistic condi- tions, 2022.
Practical Manipulation Model for Robust Deepfake Detection A new approach to im- prove learning-based deepfake detection in realistic condi- tions, 2022
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.245117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3c947f21-e3e0-4af6-88a3-d8503aab1fc6 · outbound
This paper cites Assessment Framework for Deepfake Detection in Real-world Situations.
Practical Manipulation Model for Robust Deepfake Detection Assessment Framework for Deepfake Detection in Real-world Situations
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T10:31:25.963334Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ee1b6223-7289-4dc1-96f8-fd209cca708f · outbound
This paper cites Gener- alizing face forgery detection with high-frequency features.
Practical Manipulation Model for Robust Deepfake Detection Gener- alizing face forgery detection with high-frequency features
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.236496Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 05427706-a658-4a89-9908-185c43ec50c8 · outbound
This paper cites Two-branch Recurrent Network for Isolating Deepfakes in Videos.
Practical Manipulation Model for Robust Deepfake Detection Two-branch Recurrent Network for Isolating Deepfakes in Videos
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.689195Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 715065e9-67c3-47ee-ad84-fa6178bfba2d · outbound
This paper cites Fbi names shooter after trump as- sassination attempt.https://www.moreechampion.
Practical Manipulation Model for Robust Deepfake Detection Fbi names shooter after trump as- sassination attempt.https://www.moreechampion
Reference 28
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T10:31:25.939685Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 245b34e8-67f8-4678-ab99-08255167fbee · outbound
This paper cites Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake de- tection.
Practical Manipulation Model for Robust Deepfake Detection Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake de- tection
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.227463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6c3e1ac4-03c0-4ea4-bdd4-a53f659fcc25 · outbound
This paper cites Poisson image editing.ACM SIGGRAPH 2003 Papers, 2003.
Practical Manipulation Model for Robust Deepfake Detection Poisson image editing.ACM SIGGRAPH 2003 Papers, 2003
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.218084Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 75f756af-3ec5-4276-abdf-07fd4320f761 · outbound
This paper cites Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues.
Practical Manipulation Model for Robust Deepfake Detection Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.701269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7fc4c0ea-5cc5-42dc-b0a3-bbb6268612bb · outbound
This paper cites High-resolution image syn- thesis with latent diffusion models, 2021.
Practical Manipulation Model for Robust Deepfake Detection High-resolution image syn- thesis with latent diffusion models, 2021
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.208686Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ca312fdf-9e0a-4e22-8dcb-bbcbc7360f7a · outbound
This paper cites FaceForen- sics++: Learning to detect manipulated facial images.
Practical Manipulation Model for Robust Deepfake Detection FaceForen- sics++: Learning to detect manipulated facial images
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.198786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 42e7602d-d022-4846-94b1-42dad5e1c41f · outbound
This paper cites Natarajan.
Practical Manipulation Model for Robust Deepfake Detection Natarajan
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.189230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e2a49ff7-10dd-48a9-a9bd-e7e30efad7a7 · outbound
This paper cites Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Ba- tra.
Practical Manipulation Model for Robust Deepfake Detection Selvaraju, Abhishek Das, Ramakrishna Vedantam, Michael Cogswell, Devi Parikh, and Dhruv Ba- tra
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.180042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 71e65312-eb74-4c89-98a4-6513afad29aa · outbound
This paper cites Yamasaki.
Practical Manipulation Model for Robust Deepfake Detection Yamasaki
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.170779Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1632e447-2706-4f4a-9820-9bb06082685d · outbound
This paper cites Intriguing properties of neural networks.
Practical Manipulation Model for Robust Deepfake Detection Intriguing properties of neural networks
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.720030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1a6aca98-4498-4136-8661-ea3d842c9a7e · outbound
This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.
Practical Manipulation Model for Robust Deepfake Detection EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.723341Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1533d1b9-5c71-4da6-974a-ee4dbff488fc · outbound
This paper cites Face2face: Real-time face capture and reenactment of rgb videos.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2387–2395, 2016.
Practical Manipulation Model for Robust Deepfake Detection Face2face: Real-time face capture and reenactment of rgb videos.2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pages 2387–2395, 2016
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.160676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 727cca81-8931-404e-b3d3-80f4b8297b4c · outbound
This paper cites De- ferred neural rendering.ACM Transactions on Graphics (TOG), 38:1 – 12, 2019.
Practical Manipulation Model for Robust Deepfake Detection De- ferred neural rendering.ACM Transactions on Graphics (TOG), 38:1 – 12, 2019
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.151043Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation cc9b0ad4-74e3-4ed7-9c73-d21b3192f491 · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:31:26.140444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2a9bab7e-5944-4688-97b6-975f126ff2e9 · outbound
This paper cites Transcending forgery specificity with latent space augmentation for generalizable deepfake detection.
Practical Manipulation Model for Robust Deepfake Detection Transcending forgery specificity with latent space augmentation for generalizable deepfake detection
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.131135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9ba06d64-e0f3-40ed-bf24-f29a24b5acb6 · outbound
This paper cites Ucf: Uncovering common features for generalizable deep- fake detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 22355–22366, 2023.
Practical Manipulation Model for Robust Deepfake Detection Ucf: Uncovering common features for generalizable deep- fake detection.2023 IEEE/CVF International Conference on Computer Vision (ICCV), pages 22355–22366, 2023
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.120527Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e5fc4d4d-abe6-42a8-b157-1545d299e4e1 · outbound
This paper cites DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection.
Practical Manipulation Model for Robust Deepfake Detection DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.741646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa47baec-f3c0-4aab-b757-c2c133ea6115 · outbound
This paper cites DF40: Toward Next-Generation Deepfake Detection.
Practical Manipulation Model for Robust Deepfake Detection DF40: Toward Next-Generation Deepfake Detection
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.744733Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 30f41928-16dc-4795-9690-fa06cf58ccd6 · outbound
This paper cites Zhang, Jingyun Liang, Luc Van Gool, and Radu Timofte.
Practical Manipulation Model for Robust Deepfake Detection Zhang, Jingyun Liang, Luc Van Gool, and Radu Timofte
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.110330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 94863247-cdab-4029-b8b9-04f24e2cc1ab · outbound
This paper cites Learning self-consistency for deep- fake detection.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 15003–15013, 2020.
Practical Manipulation Model for Robust Deepfake Detection Learning self-consistency for deep- fake detection.2021 IEEE/CVF International Conference on Computer Vision (ICCV), pages 15003–15013, 2020
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.100382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3c6ee288-8fee-4707-896d-5900f05904ae · outbound
This paper cites UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection.
Practical Manipulation Model for Robust Deepfake Detection UIA-ViT: Unsupervised Inconsistency-Aware Method based on Vision Transformer for Face Forgery Detection
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:31:25.753489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 23c4f65d-0b79-47d0-86cb-c4bd98fcd36d · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 49
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:31:26.090348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ee32840e-e2dd-4b77-bcaa-0a40d824e836 · outbound
This paper cites Positions outside of the image region result in the text being partially visible.
Practical Manipulation Model for Robust Deepfake Detection Positions outside of the image region result in the text being partially visible
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.080839Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1a8e02ef-62bd-4307-b023-3b0faffcfa85 · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:31:26.070275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation feefea4e-3643-4a47-9c89-42cfbecca476 · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 52
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:31:26.059616Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 315b27bb-5059-42ed-826e-dcae7795957b · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 53
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:31:26.049847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e5170d80-ae03-4a14-817b-32f3adc4e7d1 · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 54
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T10:31:26.039431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation fd841444-884c-4a1e-93cc-01337c46a2f8 · outbound
This paper cites an unresolved cited work.
Practical Manipulation Model for Robust Deepfake Detection Unresolved cited work
Reference 55
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-07T10:31:26.029913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f6478399-b110-4ae0-a51c-90be5668407b · outbound
This paper cites All images are taken from the Celeb- DF-v2 dataset [22].
Practical Manipulation Model for Robust Deepfake Detection All images are taken from the Celeb- DF-v2 dataset [22]
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T10:31:26.020280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.