Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A novel hybrid time-varying graph neural network for traffic flow forecasting
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.10155.
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 2026-08-10T22:47:03.233462Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T14:24:53.577873Z
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 3ae1505e-d075-4d25-9cc7-bcfca903dfc1 · inbound
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting cites this paper.
FasterSTS: A Faster Spatio-Temporal Synchronous Graph Convolutional Networks for Traffic flow Forecasting A novel hybrid time-varying graph neural network for traffic flow forecasting
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:47:03.233462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 25d74dc2-90a5-49ed-afae-135d491b6d2f · inbound
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting cites this paper.
Lightweight Spatio-Temporal Attention Network with Graph Embedding and Rotational Position Encoding for Traffic Forecasting A novel hybrid time-varying graph neural network for traffic flow forecasting
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T14:24:53.581494Z
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.