Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Defending Against Backdoor Attack on Graph Nerual Network by Explainability
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2209.02902.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T11:48:09.527428Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:48:47.590273Z
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 565958f1-f6fe-4084-9d00-c1c9eb8fd8ed · inbound
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics cites this paper.
Identifying Backdoored Graphs in Graph Neural Network Training: An Explanation-Based Approach with Novel Metrics Defending Against Backdoor Attack on Graph Nerual Network by Explainability
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:48:47.592600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 79e395ad-2347-48cf-9661-f0bccdbb6e99 · inbound
MADE: Graph Backdoor Defense with Masked Unlearning cites this paper.
MADE: Graph Backdoor Defense with Masked Unlearning Defending Against Backdoor Attack on Graph Nerual Network by Explainability
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:48:09.527428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation edefb794-58fc-4aaa-974b-e73f6ff27c0b · inbound
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data cites this paper.
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data Defending Against Backdoor Attack on Graph Nerual Network by Explainability
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:10:32.189665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.