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Paper Citation Record · LEDGER

DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2010.05337.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2010.05337 v3

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 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:44:34.744819Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T01:57:05.003140Z

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 88c9f411-b8aa-4df9-ba3a-6f39d52270f4 · inbound

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction cites this paper.

Semi-decentralized Training of Spatio-Temporal Graph Neural Networks for Traffic Prediction DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-11T22:44:34.744819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:44:34.744819Z digest=sha256:8d96149dcd86ad4400368dd789306a16cacb0973146d8076709e1a7fd0489ceb

Observation 47976b9d-bf38-4202-85ef-df64d2bc036c · inbound

Morphling: Fast, Fused, and Flexible GNN Training at Scale cites this paper.

Morphling: Fast, Fused, and Flexible GNN Training at Scale DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-03T19:15:05.266045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:15:05.266045Z digest=sha256:276b37d6a57f27d413a559186d08389f75d177233b082c7c2d07c14af47277e3

Observation 4de3edfe-368b-4fd8-8c70-b55465e942b5 · inbound

GriNNder: Breaking the Memory Capacity Wall in Full-Graph GNN Training with Storage Offloading cites this paper.

GriNNder: Breaking the Memory Capacity Wall in Full-Graph GNN Training with Storage Offloading DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:57:05.006123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-13T01:55:49.153997Z digest=sha256:5545b0808866692f362876a472c61b0c27bdbaad9a3a9350c32a9e8f12ec6052