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Paper Citation Record · LEDGER

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

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:38:42.206988Z

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T17:44:20.434591Z digest=sha256:6a0f3e1b7756f99c0254270259fb9c8e1996fec1d9cc7f39a4e980be44cd2fca

Observation 210d9bc8-8b50-4743-8129-043d7ef23f57 · inbound

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks cites this paper.

Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T19:01:45.287150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T19:01:45.287150Z digest=sha256:f0c3b00ec395d2b18dc035f82c34993b0a5a891d47f2796e54a7dcc62fa1b559

Observation 5a21a132-2fc4-460a-97e9-3d848094332d · inbound

THeGCN: Temporal Heterophilic Graph Convolutional Network cites this paper.

THeGCN: Temporal Heterophilic Graph Convolutional Network TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T10:38:15.973270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:38:15.973270Z digest=sha256:9e310d9ca4b6e1f1524ea9645f69ebddc461b8ffde07d9dccbc59f3f466691e1

Observation 8cbe99fa-6705-41ff-9789-51d1d523b7ef · inbound

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph cites this paper.

PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph TGL: A General Framework for Temporal GNN Training on Billion-Scale Graphs

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T10:38:42.206988Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:38:42.206988Z digest=sha256:10ebe87663bef015696cd7d4c1ebddd862866d9cbcc0734d2097b5c38c2850f8

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.

source=pdf_text observed=2026-08-06T23:12:04.524177Z digest=sha256:6d75d6ef57d877469c32939aec3afa562eee6af4b1d5e1a6685cd5d82124148d

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.

source=pdf_text observed=2026-08-06T20:44:44.195182Z digest=sha256:1b65ff8421fd079165dea4fc8adc6e14a658a3b734c13a5ebebbe17b5d177924

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.

source=pdf_text observed=2026-08-06T16:23:04.865492Z digest=sha256:4763fdd43351c5dd81f1edba11115ad9201c44d95c6b2bf2e5a7738fa2847ea1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-29T04:20:15.198382Z digest=sha256:0d6536ec747e38370fadbd5bef133065cacb75eb41d68fecf51c4728e250057f

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.

source=pdf_text observed=2026-07-12T06:29:01.304756Z digest=sha256:3a353db11b424f84e2cfdd3f7b5e802bd19b635278c7f877f7aab0335baefc54