Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2202.08057.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:17:39.476024Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T15:39:56.815817Z
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 86e08a84-27d9-4923-8342-ed985808ef63 · inbound
On the Adversarial Robustness of Graph Neural Networks with Graph Reduction cites this paper.
On the Adversarial Robustness of Graph Neural Networks with Graph Reduction Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:17:39.476024Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d277745-8912-43d2-88cb-cbec8d7c5435 · inbound
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses cites this paper.
Intellectual Property in Graph-Based Machine Learning as a Service: Attacks and Defenses Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Reference 202
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T15:39:56.821248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8a15cf60-4876-48d8-acfe-d56b0fbfc58c · inbound
PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing cites this paper.
PEANUT: Perturbations by Eigenvector Alignment for Attacking Graph Neural Networks Under Topology-Driven Message Passing Understanding and Improving Graph Injection Attack by Promoting Unnoticeability
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T17:24:44.978166Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.