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Paper Citation Record · LEDGER

FedGL: Federated Graph Learning Framework with Global Self-Supervision

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2105.03170.

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

pith.paper-citation-record.v1
2105.03170 v1

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:11:14.799756Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:30.141895Z

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 682a4f46-6264-4653-896a-fd4019753584 · inbound

A Comprehensive Data-centric Overview of Federated Graph Learning cites this paper.

A Comprehensive Data-centric Overview of Federated Graph Learning FedGL: Federated Graph Learning Framework with Global Self-Supervision

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T15:11:14.799756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:11:14.799756Z digest=sha256:882d5ab4ae5b41e86e41a523aee6964d782f91be78189719908086f34945d658

Observation 4ffac748-7aa1-49f2-9302-9e567e613d59 · inbound

Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach cites this paper.

Towards Modality-imbalanced Federated Graph Learning: A Data Synthesis-based Approach FedGL: Federated Graph Learning Framework with Global Self-Supervision

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:19:30.144463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T18:17:12.794047Z digest=sha256:5ba399d941009406f5c43732d0bb179b349d63e13744a2a8966258ee659c5a9c

Observation dbcb5e0f-b06f-4302-adc6-01247bdc2bbf · inbound

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity cites this paper.

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity FedGL: Federated Graph Learning Framework with Global Self-Supervision

Reference 118

Resolution
unresolved
no resolver link, observed 2026-08-05T00:38:04.477590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T00:38:04.477590Z digest=sha256:8ab347138c49bed4b6d0859dfe66cc6df515a41245841fef884d5e82d935bb2b