Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Comparative assessment of federated and centralized machine learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2202.01529.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T17:39:18.938553Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-12T14:13:18.594231Z
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 bb233df6-8309-4f06-ab2f-a28b43ca9053 · inbound
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions cites this paper.
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions Comparative assessment of federated and centralized machine learning
Reference 229
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T17:39:18.938553Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d97d8eda-9c08-409a-a4f5-ef45c43a62e7 · inbound
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources cites this paper.
Federated Learning in Chemical Engineering: A Tutorial on a Framework for Privacy-Preserving Collaboration Across Distributed Data Sources Comparative assessment of federated and centralized machine learning
Reference 2019
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T14:13:18.603447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.