Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2104.09376.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T18:01:34.858546Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T16:46:06.670119Z
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 ad169685-a522-4c9d-8323-e3a86ca8ee0e · inbound
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach cites this paper.
Toward Effective Digraph Representation Learning: A Magnetic Adaptive Propagation based Approach Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T18:01:34.858546Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50b6a962-676a-4bac-9f65-59322e157719 · inbound
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design cites this paper.
GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:01:38.434616Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81041e00-b878-47f0-a37b-78cc893d86fc · inbound
Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment cites this paper.
Efficient Text-Attributed Graph Learning through Selective Annotation and Graph Alignment Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:44:53.286572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb88f7b8-8e8d-4c78-bc25-6bc9a9c73651 · inbound
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks cites this paper.
Evaluating LLMs on Large-Scale Graph Property Estimation via Random Walks Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
Reference 158
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:46:06.672690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d8699ecd-2fbd-4a71-a9f1-9aac16e75d4a · inbound
MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records cites this paper.
MiGHT-EHR: A Multi-task Graph Transformer for Heterogeneous Temporal Electronic Health Records Scalable and Adaptive Graph Neural Networks with Self-Label-Enhanced training
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:32:43.050474Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.