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Paper Citation Record · LEDGER

FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.12433.

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

pith.paper-citation-record.v1
2201.12433 v7

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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:50:26.069208Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T17:06:37.646031Z

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 069589f9-e00c-4c63-8980-d0ab68ab7abf · inbound

Attributed Graph Clustering in Collaborative Settings cites this paper.

Attributed Graph Clustering in Collaborative Settings FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-12T17:50:26.069208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T17:50:26.069208Z digest=sha256:a69bca94d25f9ef45cfe258d8f517eddcfefe8f6a3364892c77d869fb8fc0c3f

Observation 687aa235-6aea-410c-9677-39daa0345800 · inbound

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks cites this paper.

FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-11T10:51:16.281145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:51:16.281145Z digest=sha256:ef59857cb2457d12f6784d8a17ddce2d016477a2b9b343ad03b5aac4ea4920e6

Observation a426dbf3-2400-49d6-9ae5-6119ae05c01c · inbound

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling cites this paper.

FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling FedGCN: Convergence-Communication Tradeoffs in Federated Training of Graph Convolutional Networks

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-08-10T17:06:37.652931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-10T17:06:37.556213Z digest=sha256:64bec1490fc8c03b6683398117de13acfa769d638de8937eb21b9511d143a159