Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1811.05320.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:33:36.064899Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T21:35:11.043168Z
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 d562e0a5-c88b-4a3b-b411-5f16668a380a · inbound
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks cites this paper.
Graph Neural Networks in Supply Chain Analytics and Optimization: Concepts, Perspectives, Dataset and Benchmarks T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T21:35:11.050126Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 7a6195e7-3f20-4984-9b20-e76b279979a6 · inbound
A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration cites this paper.
A Structural Dynamics Graph World Model: Unified Modeling, Constrained Rollout, and Interpretable Calibration T-GCN: A Temporal Graph ConvolutionalNetwork for Traffic Prediction
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:33:36.064899Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.