Paper Citation Record · LEDGER

Stochastic Training of Graph Convolutional Networks with Variance Reduction

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1710.10568.

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

pith.paper-citation-record.v1
1710.10568 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:18:33.176978Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T08:49:41.966462Z

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 ce1681d2-1857-447c-a3ed-ba3a3c39b059 · inbound

AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing cites this paper.

AWB-GCN: A Graph Convolutional Network Accelerator with Runtime Workload Rebalancing Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-14T11:31:45.977503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72d94919-7236-4c13-b309-35a19cd5147b · inbound

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers cites this paper.

Scaling Large-scale GNN Training to Thousands of Processors on CPU-based Supercomputers Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T13:45:10.397120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4decd93c-ffd5-4eaf-8583-1a0d7b3970b2 · inbound

Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs cites this paper.

Graph Learning at Scale: Characterizing and Optimizing Pre-Propagation GNNs Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:18:33.176978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c685251-379d-48ed-9c87-826ab027153a · inbound

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks cites this paper.

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:59.957776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba833d7-8944-4328-9a99-ed2c755ab443 · inbound

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning cites this paper.

AdaptGOT: A Pre-trained Model for Adaptive Contextual POI Representation Learning Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T19:12:36.334313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bcfd90b-ad9a-49ec-acc5-e6b90e39bab1 · inbound

Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks cites this paper.

Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T10:19:01.590669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04a591c0-3f7c-46f5-a2d2-17de600c2895 · inbound

On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks cites this paper.

On the Interplay between Graph Structure and Learning Algorithms in Graph Neural Networks Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T18:41:15.153047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 772ead2e-72e9-4683-a115-7fd966e0d339 · inbound

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks cites this paper.

RapidGNN: Energy and Communication-Efficient Distributed Training on Large-Scale Graph Neural Networks Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T05:33:03.138123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de804bdd-6ae0-457e-8928-4bd7d042384c · inbound

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation cites this paper.

Enhancing LLMs for Graph Tasks via Graph-aware LoRA Generation Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-07-04T08:49:41.968144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb04c939-dd72-447f-96d8-6411c976ac2c · inbound

LGNNIC: Acceleration of Large-Scale GNN Training using SmartNICs cites this paper.

LGNNIC: Acceleration of Large-Scale GNN Training using SmartNICs Stochastic Training of Graph Convolutional Networks with Variance Reduction

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T00:24:53.915647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.