Paper Citation Record · LEDGER

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1801.07455.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1801.07455 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:13:32.988868Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T13:31:05.096956Z

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 f929c3c8-ef77-4e4c-bc74-48b492484414 · inbound

Variational Graph Convolutional Neural Networks cites this paper.

Variational Graph Convolutional Neural Networks Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:49:41.040970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation feea8d4b-2b59-40d4-a6f6-3d0af81ea55d · inbound

Enhancing Sports Strategy with Video Analytics and Data Mining: Automated Video-Based Analytics Framework for Tennis Doubles cites this paper.

Enhancing Sports Strategy with Video Analytics and Data Mining: Automated Video-Based Analytics Framework for Tennis Doubles Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:13:32.988868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 148f08aa-602c-4884-a357-bbd76003fe14 · inbound

CascadeFormer: A Family of Two-stage Cascading Transformers for Skeleton-based Human Action Recognition cites this paper.

CascadeFormer: A Family of Two-stage Cascading Transformers for Skeleton-based Human Action Recognition Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T13:24:13.684506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 713f6b3d-88cb-4678-b1b7-1cc219accce7 · inbound

StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model cites this paper.

StormNet: Improving storm surge predictions with a GNN-based spatio-temporal offset forecasting model Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 84

Resolution: malformed identifier; arxiv_id, observed 2026-07-04T22:30:09.940629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a3ed4667-e382-4d80-a389-b2b34e0ec8a5 · inbound

Physical Self-Supervised Learning: IMU Sensing without Manual Labels cites this paper.

Physical Self-Supervised Learning: IMU Sensing without Manual Labels Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T16:35:09.151801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5da8a018-3c60-4722-b664-28bf7aa59f41 · inbound

Physical Self-Supervised Learning: IMU Sensing without Manual Labels cites this paper.

Physical Self-Supervised Learning: IMU Sensing without Manual Labels Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T04:13:41.599642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.