Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:42:25.535868Z
Paper Citation Record · LEDGER
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection
As of 21 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2505.06528.
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 2026-08-21T06:32:19.484+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
20 of 20 outbound references displayed
- verified exact0
- verified fuzzy17
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 38e50521-73c4-4e7e-a155-8922de2baa9c · outbound
This paper cites Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence.Expert Systems With Applications , page 124260, 2024.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence.Expert Systems With Applications , page 124260, 2024
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.915075Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7f6bc265-924e-45ed-8d10-c15bc9c9d519 · outbound
This paper cites Detecting deep- fake videos from appearance and behavior.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Detecting deep- fake videos from appearance and behavior
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.896823Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 8cab4d2b-7b64-46f5-a672-516a35080827 · outbound
This paper cites Classification and understanding of cloud structures via satellite images with efficientunet.SN Computer Science , 3(1):99, 2022.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Classification and understanding of cloud structures via satellite images with efficientunet.SN Computer Science , 3(1):99, 2022
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.880237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 5119cb18-7d7c-4b8a-9ed0-6044a8695467 · outbound
This paper cites Video and audio deepfake datasets and open issues in deepfake technology: being ahead of the curve.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Video and audio deepfake datasets and open issues in deepfake technology: being ahead of the curve
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.863576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ef525c1e-adf4-465e-b5dc-94289e79232d · outbound
This paper cites Unmasking deception: Empowering deepfake detection with vision transformer network.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Unmasking deception: Empowering deepfake detection with vision transformer network
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.847454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f285307b-334d-48ca-a9ae-81f908f280d4 · outbound
This paper cites Real-time ad- vanced computational intelligence for deep fake video detection.Applied Sciences, 13(5):3095, 2023.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Real-time ad- vanced computational intelligence for deep fake video detection.Applied Sciences, 13(5):3095, 2023
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.829437Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 361249aa-e9f3-4776-b686-b95e1f2ec8c2 · outbound
This paper cites Video face manipulation detection through ensem- ble of cnns.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Video face manipulation detection through ensem- ble of cnns
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.809852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f0c15fd9-eedd-451d-839d-e39ced2bcda3 · outbound
This paper cites Protecting world leader using facial speaking pattern against deepfakes.IEEE Signal Process- ing Letters, 29:2078–2082, 2022.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Protecting world leader using facial speaking pattern against deepfakes.IEEE Signal Process- ing Letters, 29:2078–2082, 2022
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.790698Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1ddae286-e3e4-4b2d-a4e2-114948cf7adc · outbound
This paper cites Combining efficientnet and vision transformers for video deepfake detec- tion.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Combining efficientnet and vision transformers for video deepfake detec- tion
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.771135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 2d9075d5-43e4-4e4b-953a-78dc905619cc · outbound
This paper cites Unmasking deepfakes: Masked autoencoding spatiotemporal transformers for en- hanced video forgery detection.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Unmasking deepfakes: Masked autoencoding spatiotemporal transformers for en- hanced video forgery detection
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.753895Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 95429338-be45-4624-9496-fa2fbd3e88eb · outbound
This paper cites Deepfake video detection based on efficientnet-v2 network.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Deepfake video detection based on efficientnet-v2 network
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.737165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f7a87e3f-c6b8-4c00-887c-ce489bda32d1 · outbound
This paper cites Unmasking DeepFakes with simple Features.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Unmasking DeepFakes with simple Features
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:42:25.493442Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 046db39e-0e32-4a26-9c53-90a71b92ce33 · outbound
This paper cites Deep learning methods to detect image falsification.Applied Sciences, 13(13):7694, 2023.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Deep learning methods to detect image falsification.Applied Sciences, 13(13):7694, 2023
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.719169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d716d080-f5f9-4d44-af39-6c2b072857c3 · outbound
This paper cites Emergence of deepfakes and video tampering detection approaches: A survey.Multimedia Tools and Applica- tions, 82(7):10165–10209, 2023.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Emergence of deepfakes and video tampering detection approaches: A survey.Multimedia Tools and Applica- tions, 82(7):10165–10209, 2023
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.700141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 81f08e02-ef17-4878-a2d3-0fcf1214943f · outbound
This paper cites Deepfake detection: A systematic literature review.IEEE access, 10:25494–25513, 2022.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Deepfake detection: A systematic literature review.IEEE access, 10:25494–25513, 2022
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:42:25.510228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0dbc41dc-6979-4fe1-9430-a7548608b1aa · outbound
This paper cites Blockchain technology for combating deepfake and protect video/image integrity.Journal of Multimedia Society, 24(8):1044–1058, 2021.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Blockchain technology for combating deepfake and protect video/image integrity.Journal of Multimedia Society, 24(8):1044–1058, 2021
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.668701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation aaad9d14-6c3d-4f91-859b-e3d7a34f1050 · outbound
This paper cites Deep fake video detection using transfer learning approach.Arabian Journal for Science and Engineering , 48(8):9727–9737, 2023.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Deep fake video detection using transfer learning approach.Arabian Journal for Science and Engineering , 48(8):9727–9737, 2023
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.649390Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 02651c62-95b8-4971-97df-c0f8f889b9c5 · outbound
This paper cites Comparison of deepfake detection techniques through deep learning.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Comparison of deepfake detection techniques through deep learning
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.630919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bbacb967-4c14-41f3-9f88-b7419afc7f00 · outbound
This paper cites EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:42:25.530581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c493fb11-84c7-420f-8329-23af649f6a86 · outbound
This paper cites Minor privacy protection through real-time video processing at the edge.
Unmasking Deep Fakes: Leveraging Deep Learning for Video Authenticity Detection Minor privacy protection through real-time video processing at the edge
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T22:42:25.612029Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Pith citing papers
No inbound Pith citation observations are available.