Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1910.12132.
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 2026-08-11T12:41:32.792111Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T12:41:33.201986Z
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 26ff12f6-9bad-440c-b884-fa72f80ee7ec · inbound
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy cites this paper.
Towards Precise Prediction Uncertainty in GNNs: Refining GNNs with Topology-grouping Strategy Bayesian Graph Convolutional Neural Networks Using Non-Parametric Graph Learning
Reference 42
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T12:41:33.206042Z
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.