Paper Citation Record · LEDGER

Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2203.09962.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2203.09962 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:03:54.679898Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-11T10:41:02.650905Z

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 5521b8bf-f591-44cb-a606-26d5d7b166b7 · inbound

Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm cites this paper.

Preconditioned Sharpness-Aware Minimization: Unifying Analysis and a Novel Learning Algorithm Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:03:54.679898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 36284e4d-3f55-4b29-96fe-7b55c5f61ac8 · inbound

Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization cites this paper.

Towards Understanding The Calibration Benefits of Sharpness-Aware Minimization Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:31.527804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b4e98eb7-c6e7-4774-864d-dfac9735c9ea · inbound

VASSO: Variance Suppression for Sharpness-Aware Minimization cites this paper.

VASSO: Variance Suppression for Sharpness-Aware Minimization Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-05T11:42:45.638002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b29d93-be68-4dc5-83b5-3024fa6b4656 · inbound

Flat Minima and Generalization: Insights from Stochastic Convex Optimization cites this paper.

Flat Minima and Generalization: Insights from Stochastic Convex Optimization Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-03T23:59:10.367199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbcda845-996f-4a95-9134-0e729928a769 · inbound

A Faster Path to Continual Learning cites this paper.

A Faster Path to Continual Learning Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 63

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.654579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2866156f-5a0d-4004-8461-4188a47a5a9e · inbound

On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds cites this paper.

On the Implicit Flatness Bias of Sharpness-Aware Minimization: A Linear Stability Analysis with Quantitative Hyperparameter Bounds Randomized Sharpness-Aware Training for Boosting Computational Efficiency in Deep Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-05T23:50:50.260541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.