Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VGMShield: Mitigating Misuse of Video Generative Models
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.13126.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:57:17.736058Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:40:06.601861Z
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 cb4a4184-e369-4589-928d-fca511ecc3dc · inbound
ReConFuse: Reconstruction-Error Guided Semantic Fusion for AI-Generated Video Detection cites this paper.
ReConFuse: Reconstruction-Error Guided Semantic Fusion for AI-Generated Video Detection VGMShield: Mitigating Misuse of Video Generative Models
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T07:06:43.861505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9cb3fb28-e66d-4c14-ba56-9053897f7085 · inbound
VPA-Guard: Defending and Benchmarking Image-to-Video Generation Against Visual Prompt Attacks cites this paper.
VPA-Guard: Defending and Benchmarking Image-to-Video Generation Against Visual Prompt Attacks VGMShield: Mitigating Misuse of Video Generative Models
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T19:40:06.603362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 526c0463-c182-45fe-ad7d-ff505f1fa390 · inbound
Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization cites this paper.
Delving into the Temporal Challenges of Unified Video Protection Against Image-to-Video and Fine-Tuning-based Customization VGMShield: Mitigating Misuse of Video Generative Models
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:32:31.203354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40ed001c-75cb-42f8-9d80-47233e918164 · inbound
Retrieval-Driven Training-Free AI-Generated Video Attribution cites this paper.
Retrieval-Driven Training-Free AI-Generated Video Attribution VGMShield: Mitigating Misuse of Video Generative Models
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T16:36:48.126478Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5ab35639-ccc3-4cd2-9559-516bb7293448 · inbound
FakeI2V-Bench: Benchmarking the Applicability of Image-level Deepfake Detectors for Deepfake Video Detection cites this paper.
FakeI2V-Bench: Benchmarking the Applicability of Image-level Deepfake Detectors for Deepfake Video Detection VGMShield: Mitigating Misuse of Video Generative Models
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:57:17.736058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.