Paper Citation Record · LEDGER

FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2104.07145.

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

pith.paper-citation-record.v1
2104.07145 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:45:31.938957Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T23:57:29.094466Z

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 7d9f11b9-a01e-4ffb-8930-389c6624fd6c · inbound

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data cites this paper.

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T20:45:31.938957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5711e2e-1a21-4f6d-b7fe-f44b5dbeb6cb · inbound

Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability cites this paper.

Federated Learning of Nonlinear Temporal Dynamics with Graph Attention-based Cross-Client Interpretability FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-21T12:24:10.724961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation e20b5f9e-c9c3-420d-95f3-706d9a17824f · inbound

UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment cites this paper.

UMEDA: Unified Multi-modal Efficient Data Fusion for Privacy-Preserving Graph Federated Learning via Spectral-Gated Attention and Diffusion-Based Operator Alignment FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:51:18.048517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a926077c-113b-45bf-a4ba-6748880e6b0e · inbound

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning cites this paper.

STAGE: Tackling Semantic Drift in Multimodal Federated Graph Learning FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T07:42:30.451841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 05dae213-7264-47c0-ad28-de57e846191e · inbound

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks cites this paper.

Provably Communication-Efficient and Privacy-Preserving Federated Graph Neural Networks FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:02.137342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61b2d797-e349-4124-adb7-08e86f27423c · inbound

PRISM: Topology-Aware Cross-Modal Imputation for Modality-Deficient Federated Graph Learning cites this paper.

PRISM: Topology-Aware Cross-Modal Imputation for Modality-Deficient Federated Graph Learning FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T23:57:29.095904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.