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Paper Citation Record · LEDGER

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

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 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 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:51:16.281145Z

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 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=sha256:22c6da2763f452ba412ebb73ef582694101c0ad927abca3075a565a487672241

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T17:06:37.556213Z digest=sha256:39975ba522f2e73299241c2b10eb2e0ac7dcab9c63fdf05704f7e3e11c9eb184