Paper Citation Record · LEDGER

VGMShield: Mitigating Misuse of Video Generative Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.13126.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2402.13126 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:36:48.126478Z

measured 0 of 1 external citation measurements

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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.