Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2308.10087.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:27:17.453611Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:43:15.378922Z
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 34662eb8-8346-4d94-a81d-8c448c36fc19 · inbound
Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes cites this paper.
Forecasting at Full Spectrum: Holistic Multi-Granular Traffic Modeling under High-Throughput Inference Regimes GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:27:17.453611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c8f69d73-62bc-49b2-b3b3-c8f94c72105f · inbound
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training cites this paper.
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:43:15.380704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.