Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1812.00292.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:03:56.664018Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T00:50:01.542049Z
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 d567b98c-f4d8-44fd-9a73-4033356d590c · inbound
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers cites this paper.
An Effective and Resilient Backdoor Attack Framework against Deep Neural Networks and Vision Transformers SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:03:56.664018Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f6c52bd-1747-4006-96fb-1c655df3dec5 · inbound
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations cites this paper.
A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems
Reference 220
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-09T00:50:01.547115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.