Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GM-DF: Generalized Multi-Scenario Deepfake Detection
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.20078.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:45:41.535211Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T14:34:12.187770Z
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 f67c7f48-0d4e-4d2f-b766-abdabc5e7dae · inbound
Securing Social Media Against Deepfakes using Identity, Behavioral, and Geometric Signatures cites this paper.
Securing Social Media Against Deepfakes using Identity, Behavioral, and Geometric Signatures GM-DF: Generalized Multi-Scenario Deepfake Detection
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:45:41.535211Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dea2ccb-d98e-4367-b84f-801fafe84fd5 · inbound
Credit Risk Identification in Supply Chains Using Generative Adversarial Networks cites this paper.
Credit Risk Identification in Supply Chains Using Generative Adversarial Networks GM-DF: Generalized Multi-Scenario Deepfake Detection
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:13:53.852837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 69fc5bbc-11dc-4142-9de6-8ec53b1a68f4 · inbound
Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems cites this paper.
Unmasking Synthetic Realities in Generative AI: A Comprehensive Review of Adversarially Robust Deepfake Detection Systems GM-DF: Generalized Multi-Scenario Deepfake Detection
Reference 165
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T14:34:12.192260Z
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.