Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.10428.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
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 2026-08-10T04:30:57.281110Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:16:24.645164Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 352eb37d-685b-4c8e-8027-c4ea0812c533 · inbound
Communication-free Sampling and 4D Hybrid Parallelism for Scalable Mini-batch GNN Training PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
Reference 38
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 337949f6-b585-4bbc-95d5-714126e68afb · inbound
GreenGNN: Energy-Aware Windowed Communication Optimization for Distributed GNN Training PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
Reference 24
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 ef7c1734-cb44-4028-a7bf-ca7f8b906b55 · inbound
SNI-GNN: SmartNIC-Assisted Full-Graph GNN Training with In-Network Embedding Prediction PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.