Pith. sign in

Paper Citation Record · LEDGER

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2006.11583.

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

pith.paper-citation-record.v1
2006.11583 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:29:23.573573Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T13:34:39.788959Z

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 dad3e9c9-4d13-4146-be81-a2f55507700e · inbound

Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting cites this paper.

Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T18:29:23.573573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:29:23.573573Z digest=sha256:955de3110a6721ef1a340aa1464c6faeb8579fb5d0291c35693c85f49133c8a6

Observation f18b53be-4016-40c6-9ab7-3896757628c9 · inbound

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting cites this paper.

Comparative Analysis of Machine Learning Models for Short-Term Distribution System Load Forecasting A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:34:39.797104Z

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.

source=pdf_text observed=2026-08-12T13:34:39.621463Z digest=sha256:c97bd7631ec9c218aa17f28fac1e9c1d698b8f8ddc8b0aa6bb3e6c733b264093

Observation c68771ad-a833-496b-94a0-971b97dba414 · inbound

ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoring cites this paper.

ClouDens: Operational Context-Aware Anomaly Detection for Large-scale Cloud System Monitoring A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-01T15:58:08.404435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T15:58:08.404435Z digest=sha256:158345ee02854861ad095fc1d7effe6a1948bb56b509aba2114a3485c257fa45