Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11921.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:55:26.828059Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-15T20:55:27.693342Z
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 f0405c5f-dbb3-4441-a67b-b451386c0df9 · inbound
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models cites this paper.
UrbanMind: Urban Dynamics Prediction with Multifaceted Spatial-Temporal Large Language Models Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T20:55:27.698986Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 69ca4215-4b45-44f0-b222-2b0bbc7cc5c0 · inbound
Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? cites this paper.
Do We Really Need Adaptive Global Spatial Attention for Traffic Forecasting? Rethinking Spatio-Temporal Transformer for Traffic Prediction:Multi-level Multi-view Augmented Learning Framework
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T05:55:25.279392Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.