Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1909.12962.
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 2026-08-07T13:32:45.731516Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
104
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation cd70c8ff-131e-4a78-95ae-58f1817d09c3 · inbound
The DeepFake Detection Challenge (DFDC) Dataset cites this paper.
The DeepFake Detection Challenge (DFDC) Dataset Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T16:49:41.899189Z
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.
Observation 8c497927-4d2b-4117-8407-4754761e7e17 · inbound
What is Adversarial Training for Diffusion Models? cites this paper.
What is Adversarial Training for Diffusion Models? Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:32:45.731516Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bfddcff5-c046-4b61-96cd-39e6e9f5eb8f · inbound
Detecting Deepfake Talking Heads from Facial Biometric Anomalies cites this paper.
Detecting Deepfake Talking Heads from Facial Biometric Anomalies Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:15:05.455995Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 606c5138-2cf8-44d8-9ca0-55a6f0032203 · inbound
Visual Language Models as Zero-Shot Deepfake Detectors cites this paper.
Visual Language Models as Zero-Shot Deepfake Detectors Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:45:25.914487Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3dcc89ab-12a1-466b-9379-f5817fb80d38 · inbound
The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence cites this paper.
The CIFAR Synthetic Evidence Corpus for Detecting AI-Generated Evidence Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T20:47:22.748551Z
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.
Observation dd7394e6-0ecc-4e46-b86a-cecf1448359f · inbound
Toward Calibrated, Fair, and accurate Deepfake Detection cites this paper.
Toward Calibrated, Fair, and accurate Deepfake Detection Celeb-DF: A Large-scale Challenging Dataset for DeepFake Forensics
Reference 103
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T07:11:44.989099Z
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.