Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.00552.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:57.234782Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
4
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation f02a6b14-0847-4c9a-939e-0edede69727d · inbound
Geometric deep learning assists protein engineering. Opportunities and Challenges cites this paper.
Geometric deep learning assists protein engineering. Opportunities and Challenges Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:48:20.468192Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a472e81a-27f6-4667-9c1e-a440b5fb5a55 · inbound
Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures cites this paper.
Graph Neural Networks to Predict Coercivity of Hard Magnetic Microstructures Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:41:38.600907Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ac7c7635-692d-4e0b-a759-ca723b0ac4c4 · inbound
SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction cites this paper.
SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction Graph Neural Network Training Systems: A Performance Comparison of Full-Graph and Mini-Batch
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:30:57.234782Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.