Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1904.06292.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T14:21:42.300945Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T10:46:59.451455Z
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 7256ae6b-999a-4b69-b155-6ed6b5dd8f14 · inbound
Detection of Backdoors in Trained Classifiers Without Access to the Training Set cites this paper.
Detection of Backdoors in Trained Classifiers Without Access to the Training Set Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
Reference 18
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:46:59.458516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b9316548-2dda-4e68-a868-ee1dbba71992 · inbound
On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models cites this paper.
On Understanding, Identifying, and Mitigating Vulnerabilities in Agentic Large Language Models Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
Reference 86
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:21:42.300945Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.