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Paper Citation Record · LEDGER

AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2401.11750.

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

pith.paper-citation-record.v1
2401.11750 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:11:12.516042Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:11:18.390910Z

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 623eb9c2-09fe-4beb-9443-a58c327f595c · inbound

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

A Comprehensive Data-centric Overview of Federated Graph Learning AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:11:18.396568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T15:11:12.516042Z digest=sha256:e08703d27318a0e6920c46ae3f20633ade24f792b88d5792730870943e9e2c89

Observation 3758ee9b-e7dc-4370-a262-b337c43bfdd1 · 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 AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-04T06:16:57.588340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:16:57.588340Z digest=sha256:3aa7fb1ca5532cceb641fd8b297b3fc60c9475653f2986e03288eecbee431e61