Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distributed learning with compressed gradients
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T13:53:06.107911Z
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 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 2026-08-10T06:31:04.303077+00:00.