Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.04977.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:15.780134Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T00:24:15.959311Z
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 f41069bd-231e-471b-9c2e-d0acfdca31eb · inbound
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs cites this paper.
CLGNN: A Contrastive Learning-based GNN Model for Betweenness Centrality Prediction on Temporal Graphs Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
Reference 55
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T00:24:15.963864Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c4c41710-153a-4f1d-ac1a-4cf40fad2a42 · inbound
Graph Neural Networks for Scalable and Transferable Node Centrality Approximation cites this paper.
Graph Neural Networks for Scalable and Transferable Node Centrality Approximation Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-13T03:30:09.207707Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.