Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Perturbations Against Real-Time Video Classification Systems
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1807.00458.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:31:29.760627Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-06-29T07:23:13.176571Z
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 a7f441b1-5e46-4dc3-8f99-25db95a565f5 · inbound
Rigid Body Adversarial Attacks cites this paper.
Rigid Body Adversarial Attacks Adversarial Perturbations Against Real-Time Video Classification Systems
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:31:29.760627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de4bf0f2-42c6-4ce6-9989-1a6358c1221a · inbound
Robustness Evaluation for Video Models with Reinforcement Learning cites this paper.
Robustness Evaluation for Video Models with Reinforcement Learning Adversarial Perturbations Against Real-Time Video Classification Systems
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:38:54.143096Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa35da41-0877-46e5-8915-b34b5353aea5 · inbound
SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices cites this paper.
SAMD: A Tool for Identifying False Data Injection Scenarios in AI/ML-enabled Medical Devices Adversarial Perturbations Against Real-Time Video Classification Systems
Reference 60
- Resolution
- verified exact
- local_arxiv, observed 2026-06-29T07:23:13.177990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.