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Paper Citation Record · LEDGER

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication

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.

pith.paper-citation-record.v1
2203.10428 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:30:57.281110Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T01:16:24.645164Z

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 352eb37d-685b-4c8e-8027-c4ea0812c533 · 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 PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-13T20:43:15.375205Z

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.

source=pdf_text observed=2026-05-13T20:38:31.444109Z digest=sha256:ff0d11b372b39b3c1d945cdab68fe487d3ef21c2339ce88400851856590d04f4

Observation 337949f6-b585-4bbc-95d5-714126e68afb · inbound

GreenGNN: Energy-Aware Windowed Communication Optimization for Distributed GNN Training cites this paper.

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

Resolution
verified exact
arxiv_id, observed 2026-07-02T01:16:24.647244Z

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.

source=pdf_text observed=2026-06-28T12:20:12.433442Z digest=sha256:438400c083ead289171569bfdac2a8465ff46b882436d407d18070accffada03

Observation ef7c1734-cb44-4028-a7bf-ca7f8b906b55 · 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 PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T04:30:57.281110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T04:30:57.281110Z digest=sha256:00aa668d3d6139a1d7ff8870ca52f7b43488756d465224cc386b4c9c24f42d7c