Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.00565.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:12:35.420761Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:00:59.535585Z
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 68c230e0-0038-4fdb-94fe-14126b1329ae · inbound
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization cites this paper.
LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:12:35.420761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99bf3fd2-9970-4580-834b-30b64adc7543 · inbound
Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization cites this paper.
Rethinking the Personalized Relaxed Initialization in the Federated Learning: Consistency and Generalization AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:00:59.537396Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.