Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.09292.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:39:35.604302Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T06:17:42.592018Z
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 4b2cb670-e56c-41de-a334-a4809434c565 · inbound
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization cites this paper.
FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:39:35.604302Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a58893c3-9571-4ea7-8f64-86623f6e25aa · inbound
From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning cites this paper.
From Data Heterogeneity to Convergence: A Data-Centric Review of Federated Learning Bridging Data Islands: Geographic Heterogeneity-Aware Federated Learning for Collaborative Remote Sensing Semantic Segmentation
Reference 92
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T06:17:42.593308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.