Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A Timely Survey on Vision Transformer for Deepfake Detection
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.08463.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:03:38.585343Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T13:13:18.691278Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 547429ad-97d0-40fe-bbd8-37f9a6dcda8e · inbound
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations cites this paper.
Multiverse Through Deepfakes: The MultiFakeVerse Dataset of Person-Centric Visual and Conceptual Manipulations A Timely Survey on Vision Transformer for Deepfake Detection
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:03:38.585343Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 29d2caa8-4383-47b3-9b96-bb1b740da52b · inbound
Trident: Detecting Face Forgeries with Adversarial Triplet Learning cites this paper.
Trident: Detecting Face Forgeries with Adversarial Triplet Learning A Timely Survey on Vision Transformer for Deepfake Detection
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:52:20.512723Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 45eefac3-a34a-40d5-8a4f-dd6c24d3b691 · inbound
Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks cites this paper.
Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks A Timely Survey on Vision Transformer for Deepfake Detection
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:13:18.692782Z
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.