Paper Citation Record · LEDGER

Graph Transformers for Large Graphs

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2312.11109.

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

pith.paper-citation-record.v1
2312.11109 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:25:37.822437Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T21:31:39.377132Z

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 7e0faea1-c12c-46a9-b633-dc70469b9856 · inbound

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification cites this paper.

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification Graph Transformers for Large Graphs

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T12:03:12.166010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f324ede3-05d4-4747-95e8-f2943ec1a01d · inbound

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures cites this paper.

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures Graph Transformers for Large Graphs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-15T19:25:37.822437Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 728b1c0f-33ff-4935-b658-cbdd8ca4d560 · inbound

Plain Transformers are Surprisingly Powerful Link Predictors cites this paper.

Plain Transformers are Surprisingly Powerful Link Predictors Graph Transformers for Large Graphs

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T05:44:24.676705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 070b40f5-1b4e-47da-8e03-aa63c69bdb8d · inbound

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation cites this paper.

AdvSynGNN: Structure-Adaptive Graph Neural Nets via Adversarial Synthesis and Self-Corrective Propagation Graph Transformers for Large Graphs

Reference 75

Resolution: verified exact; arxiv_id, observed 2026-05-15T21:31:39.379135Z

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.