Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2202.01267.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T19:13:00.330125Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T21:50:19.377413Z
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 024b8d6d-2691-46bb-8ce0-6090707c3182 · inbound
EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence cites this paper.
EarthSight: A Distributed Framework for Low-Latency Satellite Intelligence FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T21:50:19.379861Z
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.
Observation 2af4e106-4740-4397-8244-5e2118e499ea · inbound
Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence cites this paper.
Equinox: Decentralized Scheduling for Hardware-Aware Orbital Intelligence FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T01:04:50.162778Z
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.
Observation c0a52a5f-8a55-431d-af18-4e8147a01a89 · inbound
Constraint-Aware Execution Planning for Hybrid Space-Ground Compute Workloads cites this paper.
Constraint-Aware Execution Planning for Hybrid Space-Ground Compute Workloads FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:30:09.894985Z
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.
Observation 4d6f3c8f-38ac-4637-80fd-5b3062add99f · inbound
Topology-Aware Two-Stage Federated Learning via Proxy Models for Sub-THz Heterogeneous LEO Communications cites this paper.
Topology-Aware Two-Stage Federated Learning via Proxy Models for Sub-THz Heterogeneous LEO Communications FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T18:06:06.927982Z
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.
Observation 3031fbec-1cc6-4ea3-8115-82d17d77cadc · inbound
FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations cites this paper.
FedRings: A Scalable and Topology-Aware Federated Learning Framework for LEO Satellite Constellations FedSpace: An Efficient Federated Learning Framework at Satellites and Ground Stations
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T19:13:00.330125Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.