Paper Citation Record · LEDGER

Federated Graph Learning -- A Position Paper

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2105.11099.

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

pith.paper-citation-record.v1
2105.11099 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:49:26.061196Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:19:30.127595Z

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 16f4e3ec-67ed-46fa-90b9-3c2026e632bf · inbound

Federated Continual Graph Learning cites this paper.

Federated Continual Graph Learning Federated Graph Learning -- A Position Paper

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T10:49:26.061196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 322beb44-c4b5-4cb1-9771-20971406400e · inbound

Gradient Inversion Attack on Graph Neural Networks cites this paper.

Gradient Inversion Attack on Graph Neural Networks Federated Graph Learning -- A Position Paper

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T10:17:10.002563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d7df0eb-9a7a-4b21-85f8-7859a8e69b82 · inbound

S2FGL: Spatial Spectral Federated Graph Learning cites this paper.

S2FGL: Spatial Spectral Federated Graph Learning Federated Graph Learning -- A Position Paper

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:26.556428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95252a9-445e-426b-ac68-e9247b9b1ed0 · inbound

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants cites this paper.

Horizontal and Vertical Federated Causal Structure Learning via Higher-order Cumulants Federated Graph Learning -- A Position Paper

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T19:01:12.146085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af8de68-f74e-415c-8334-8d63a110170c · inbound

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

A Comprehensive Data-centric Overview of Federated Graph Learning Federated Graph Learning -- A Position Paper

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:11:13.142346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db726d96-48d2-445c-beed-eda081b14f9e · inbound

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach cites this paper.

Rethinking Federated Graph Foundation Models: A Graph-Language Alignment-based Approach Federated Graph Learning -- A Position Paper

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T06:16:58.212586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d04a064e-6e9b-44c7-a924-19e9f2f35760 · 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 Federated Graph Learning -- A Position Paper

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:19:30.129583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 28f019de-11ce-4dbd-b93c-eaae25135934 · inbound

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

Towards Effective Federated Multimodal Graph Learning via Navigating Multifaceted Heterogeneity Federated Graph Learning -- A Position Paper

Reference 126

Resolution: unresolved; no resolver link, observed 2026-08-05T00:38:04.498568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.