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Paper Citation Record · LEDGER

Towards Efficient and Scalable Sharpness-Aware Minimization

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.02714.

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

pith.paper-citation-record.v1
2203.02714 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:10:08.473584Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T11:12:35.666585Z

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 6dbdf4a2-f6b6-4a09-974f-b88b7434dd03 · inbound

Learning from Limited and Imperfect Data cites this paper.

Learning from Limited and Imperfect Data Towards Efficient and Scalable Sharpness-Aware Minimization

Reference 199

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:08.473584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:10:08.473584Z digest=sha256:3484b070e23d9cb4680cc21073d5529d9322ee56a881c48f84b237020c88b36f

Observation a90be5dc-f873-4e5a-bffd-702a79f75de2 · inbound

LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization cites this paper.

LSAM: Asynchronous Distributed Training with Landscape-Smoothed Sharpness-Aware Minimization Towards Efficient and Scalable Sharpness-Aware Minimization

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-05T11:12:35.672005Z

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.

source=arxiv_source observed=2026-08-05T11:12:35.356096Z digest=sha256:0cea90b0ca7301a323f5414b22340e05ba64ef28a7cc3aa54f110413dc488107