Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.01018.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:47:58.626456Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T07:59:40.558376Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 468cb2d0-9c17-479b-a402-14c525122c71 · inbound
Large Scalable Cross-Domain Graph Neural Networks for Personalized Notification at LinkedIn Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aadd76e7-991f-4887-8307-02407ebc50b3 · inbound
DiT-SGCR: Directed Temporal Structural Representation with Global-Cluster Awareness for Ethereum Malicious Account Detection Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b2d90753-558c-45e3-bc42-a36c5d6f646a · inbound
Boosting Team Modeling through Tempo-Relational Representation Learning Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Reference 78
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation fa571feb-aae5-4e06-b880-3923de47f78d · inbound
When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Reference 30
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80712f83-ebea-43d6-aaf9-ea1ef2b46306 · inbound
DevoTG: Temporal Graph Neural Networks for Modeling C. elegans Developmental Connectomics Graph Neural Networks for temporal graphs: State of the art, open challenges, and opportunities
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.