Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards a Better Theoretical Understanding of Independent Subnetwork Training
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2306.16484.
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 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T21:06:26.495216Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T03:05:54.682350Z
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 f345d5ac-1f56-4979-94b9-8acf82f22ebc · inbound
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization cites this paper.
Strategies for Improving Communication Efficiency in Distributed and Federated Learning: Compression, Local Training, and Personalization Towards a Better Theoretical Understanding of Independent Subnetwork Training
Reference 198
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:06:26.495216Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4852d237-014a-4793-9674-f8d6f1ae88fa · inbound
Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits cites this paper.
Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits Towards a Better Theoretical Understanding of Independent Subnetwork Training
Reference 159
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T03:05:54.685487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.