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Paper Citation Record · LEDGER

Spatio-Temporal Graph Neural Networks: A Survey

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2301.10569.

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

pith.paper-citation-record.v1
2301.10569 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:44:34.134740Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:37:29.876702Z

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 69beb568-d93a-44f9-a119-a55462b594b4 · inbound

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction cites this paper.

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction Spatio-Temporal Graph Neural Networks: A Survey

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T22:44:34.134740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:44:34.134740Z digest=sha256:cd212faa18e75a6519da010dfba72a855d2fb641e55e5cb0cf62dc6d22af60b7

Observation 543850fc-d345-4e4e-a6a1-71d254f6ef00 · inbound

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data cites this paper.

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data Spatio-Temporal Graph Neural Networks: A Survey

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T15:32:37.922200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:32:37.922200Z digest=sha256:93896f4448d6576efbcae9b481db174421022c136a3e18f7da6ebe9142600401

Observation b2cced7f-ecc3-4f62-bd9e-9164bf5a5bf0 · inbound

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks cites this paper.

CONTINUUM: Detecting APT Attacks through Spatial-Temporal Graph Neural Networks Spatio-Temporal Graph Neural Networks: A Survey

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T22:03:56.913955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:03:56.913955Z digest=sha256:e6b1950916a064cfb66dc9d6fe1e2c1eb819d813766b7cbc573c82b7d43f664a

Observation dfb4fbeb-dee6-4480-a225-9dd25913e855 · inbound

Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities cites this paper.

Spatio-Temporal Foundation Models: Vision, Challenges, and Opportunities Spatio-Temporal Graph Neural Networks: A Survey

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-10T20:23:00.209963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:23:00.209963Z digest=sha256:9df229c097bd6fcd1e727a909fd999113b2539157175b3a49708b5271653fcd4

Observation ebc9366d-80fe-4be5-88dc-2b24c24aea76 · inbound

Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention cites this paper.

Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention Spatio-Temporal Graph Neural Networks: A Survey

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T16:29:48.446623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:29:48.446623Z digest=sha256:51036d1b4aded656a9c7433d30cf3972e636e4008cae7f314a78b68f5766d7a0

Observation 899082e9-20b3-4772-9954-ccf684700973 · inbound

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning cites this paper.

Dynamic Sheaf Diffusion Networks with Adaptive Local Structure for Heterogeneous Spatio-Temporal Graph Learning Spatio-Temporal Graph Neural Networks: A Survey

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:50:58.516468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-10T15:49:35.483028Z digest=sha256:97f78a0b7c761025c834408b4b5c41acb55ea4fdaa78b2d3b2cc35eeffad839e

Observation 05723645-fda9-40e5-b5b3-5de55ff180aa · inbound

Efficient Prompt Learning for Traffic Forecasting cites this paper.

Efficient Prompt Learning for Traffic Forecasting Spatio-Temporal Graph Neural Networks: A Survey

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:26.756391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-12T01:20:37.192907Z digest=sha256:6ee4efd5c8ee45c3d33fab8f0bc68847d8acea6a9ee1e90e1c763c048e2f6212

Observation cb21db87-cd5a-4c8b-8d92-f009bb38a8c8 · inbound

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems cites this paper.

Graph Mamba Operator: A Latent Simulator for Interacting Particle Systems Spatio-Temporal Graph Neural Networks: A Survey

Reference 101

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:37:29.878302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T17:07:27.417845Z digest=sha256:d37d60e1a54c07f3eabd7374de3e38d62ec9c4398234d9cfa96208c66182b79a