Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph Transformers for Large Graphs
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2312.11109.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T12:03:12.166010Z
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 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 2026-08-12T06:34:41.77262+00:00.