Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.04225.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:47:38.465117Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T01:28:48.903576Z
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 14383539-f049-4d53-9a92-5527a4215f66 · inbound
Hierarchical Uncertainty-Aware Graph Neural Network cites this paper.
Hierarchical Uncertainty-Aware Graph Neural Network LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:47:38.465117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 712ae332-5ec4-4670-82a3-87548605821c · inbound
Adaptive Branch Specialization in Spectral-Spatial Graph Neural Networks for Certified Robustness cites this paper.
Adaptive Branch Specialization in Spectral-Spatial Graph Neural Networks for Certified Robustness LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:03:01.689564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 174339c0-2ac9-4753-9d13-03150e0a3edc · inbound
Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation cites this paper.
Mitigating Structural Overfitting: A Distribution-Aware Rectification Framework for Missing Feature Imputation LSGNN: Towards General Graph Neural Network in Node Classification by Local Similarity
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T01:28:48.907533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.