Paper Citation Record · LEDGER

TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2203.14883.

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

pith.paper-citation-record.v1
2203.14883 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 2026-08-06T23:12:04.524177Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T17:05:50.461992Z

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 9fa6d828-d76f-4017-83a9-13e8b8bc1660 · inbound

Graph Retention Networks for Dynamic Graphs cites this paper.

Graph Retention Networks for Dynamic Graphs TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:45:46.134172Z

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 6823225b-f6b5-4cd2-b4ef-fe36ab1ea90f · inbound

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams cites this paper.

A Batch-Insensitive Dynamic GNN Approach to Address Temporal Discontinuity in Graph Streams TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:04.524177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82aa4507-61ba-443a-8f91-88b937940cc6 · inbound

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks cites this paper.

Non-exchangeable Conformal Prediction for Temporal Graph Neural Networks TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 49

Resolution: malformed identifier; no resolver link, observed 2026-08-06T20:44:44.195182Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 370bb151-6a38-44fc-b083-edd852beffe4 · inbound

When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction cites this paper.

When Speed meets Accuracy: an Efficient and Effective Graph Model for Temporal Link Prediction TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-06T16:23:04.865492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a1da72b-af23-47e4-9044-c2ac995b18de · inbound

Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs cites this paper.

Estimation-Prediction Tradeoff in Causal Probabilistic Temporal Graphs TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 242

Resolution: verified exact; arxiv_id, observed 2026-07-01T17:05:50.463422Z

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 36529ec9-8e94-4f61-b493-d4e8c646d20c · inbound

Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs cites this paper.

Poisson-Gamma Modeling of Inter-Relational Dependencies in Dynamic Knowledge Graphs TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-12T06:29:01.304756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.