Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2411.08148.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T19:04:40.163230Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-20T13:13:18.722536Z
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 0a489483-fe03-4cf8-892e-20d09bf6a2ae · inbound
Graph-based Fake Account Detection: A Survey cites this paper.
Graph-based Fake Account Detection: A Survey Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T19:04:40.163230Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a007d427-12cb-4213-aa26-8102cf1609f8 · 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 Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:34:10.793451Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3fb410c7-befc-48f6-b97c-76cd799dc54c · 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 Adaptive Meta-Learning for Robust Deepfake Detection: A Multi-Agent Framework to Data Drift and Model Generalization
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T13:13:18.726004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.