Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distributed learning with compressed gradients
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1806.06573.
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 2026-08-15T14:39:14.652626Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T21:32:36.169607Z
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 f8e02020-0979-498e-81a6-0d2f393776fc · inbound
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity cites this paper.
Accelerated Methods with Compressed Communications for Distributed Optimization Problems under Data Similarity Distributed learning with compressed gradients
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T10:48:29.989209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91fde719-9efb-43c7-8d97-927efbeb484a · inbound
The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications cites this paper.
The Ball-Proximal (="Broximal") Point Method: a New Algorithm, Convergence Theory, and Applications Distributed learning with compressed gradients
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:53:06.107911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 243eac7d-0bad-4998-8947-9f6a2b8c8e19 · inbound
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation cites this paper.
Delayed Momentum Aggregation: Communication-efficient Byzantine-robust Federated Learning with Partial Participation Distributed learning with compressed gradients
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:23:49.357820Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afccdaec-29b4-4ae4-b533-bbf112fe3a6f · inbound
Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence cites this paper.
Theoretical Analysis on how Learning Rate Warmup Accelerates Convergence Distributed learning with compressed gradients
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T21:32:36.237186Z
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.
Observation 23cd950b-d0aa-4aa8-b1c8-6f231232c1d0 · inbound
Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization cites this paper.
Theoretical Foundations of Communication-Efficient, Robust, and Practical Distributed and Federated Optimization Distributed learning with compressed gradients
Reference 132
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T14:39:14.652626Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.