Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.11750.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:53:19.501456Z
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 03ab721b-b484-4a54-9285-45beef59a72e · inbound
Personalized One-shot Federated Graph Learning for Heterogeneous Clients cites this paper.
Personalized One-shot Federated Graph Learning for Heterogeneous Clients AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:47:53.231563Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 538992da-e580-4b6e-8544-b48e3ee05d33 · inbound
Federated Continual Graph Learning cites this paper.
Federated Continual Graph Learning AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T10:49:25.833984Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 71e4586a-fa09-4142-908d-65851ba68e15 · inbound
Rethinking Federated Graph Learning: A Data Condensation Perspective cites this paper.
Rethinking Federated Graph Learning: A Data Condensation Perspective AdaFGL: A New Paradigm for Federated Node Classification with Topology Heterogeneity
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:53:19.501456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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 2026-08-23T06:30:58.430688+00:00.
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.