Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.21964.
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
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:38:00.621719Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:29:16.620288Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 156c9e31-5c52-4ab8-a8d8-d87a10fa57e8 · inbound
Vulnerability-Aware Spatio-Temporal Learning for Generalizable Deepfake Video Detection FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection
Reference 41
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f4df8b9d-941d-4ea6-a1b5-d85a15dc01f2 · inbound
VERITAS: Verification and Explanation of Realness in Images for Transparency in AI Systems FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b53a1c2-8f98-4836-a865-6a62ebcf906f · inbound
Deepfake Detection in Social Media: A Temporal Artifact Analysis Using 3D Convolutional Neural Networks FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 8b1ec406-5c60-4d11-be58-21e9b159c755 · inbound
When AUC Misleads: Polarization-Aware Evaluation of Deepfake Detectors under Domain Shift FakeFormer: Efficient Vulnerability-Driven Transformers for Generalisable Deepfake Detection
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.