Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Distributed Learning of Deep Neural Networks using Independent Subnet Training
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1910.02120.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T13:52:51.851584Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-10T13:47:05.778387Z
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 940a92c8-87f6-454b-b270-a35b838ceaa0 · inbound
Model Parallelism With Subnetwork Data Parallelism cites this paper.
Model Parallelism With Subnetwork Data Parallelism Distributed Learning of Deep Neural Networks using Independent Subnet Training
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:19:59.466187Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f08b8cc2-2f46-4568-a27a-88260fb16c65 · inbound
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems cites this paper.
Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems Distributed Learning of Deep Neural Networks using Independent Subnet Training
Reference 11
- Resolution
- verified exact
- local_arxiv, observed 2026-07-10T13:47:05.779617Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad77f6fc-60ef-424a-9b8a-720db0c19f5e · inbound
Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning cites this paper.
Capacity Confounds and Coverage Guarantees in Adaptive Sub-model Federated Learning Distributed Learning of Deep Neural Networks using Independent Subnet Training
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T13:52:51.851584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.