Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.11927.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:28.431061Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T18:37:04.660314Z
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 fff553a8-85fe-4c66-b308-dcc93e02bb6d · inbound
Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting cites this paper.
Social Processes: Probabilistic Meta-learning for Adaptive Multiparty Interaction Forecasting Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:19:28.431061Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0d73d067-a686-413a-b233-86bcdccfb6bb · inbound
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study cites this paper.
Mitigating Spatial Disparity in Urban Prediction Using Residual-Aware Spatiotemporal Graph Neural Networks: A Chicago Case Study Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
Reference 34
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T18:37:04.665518Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.