Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Defenses in Adversarial Machine Learning: A Survey
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.08890.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T16:26:44.244831Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T09:57:56.236982Z
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 038988e5-a83b-40cc-8d84-9b6c969a40e3 · inbound
Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition cites this paper.
Gradient Norm-based Fine-Tuning for Backdoor Defense in Automatic Speech Recognition Defenses in Adversarial Machine Learning: A Survey
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T16:26:44.244831Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 82d04e1a-ae0d-4011-9dff-3493e451ecf7 · inbound
Fortifying Time Series: DTW-Certified Robust Anomaly Detection cites this paper.
Fortifying Time Series: DTW-Certified Robust Anomaly Detection Defenses in Adversarial Machine Learning: A Survey
Reference 68
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:20:55.501486Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d187e400-de44-4f1f-a8e6-dfe2224efc3d · inbound
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization cites this paper.
Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization Defenses in Adversarial Machine Learning: A Survey
Reference 70
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T09:57:56.238482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.