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Paper Citation Record · LEDGER

DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.12022.

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

pith.paper-citation-record.v1
2302.12022 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:49:52.465284Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.449770Z

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 6fc6404d-b126-4387-9666-8bfb7f9ca6af · inbound

Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes cites this paper.

Projected gradient methods for nonconvex and stochastic smooth optimization: new complexities and auto-conditioned stepsizes DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:25:28.033843Z

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=pdf_text observed=2026-05-23T06:23:51.617737Z digest=sha256:f0f007075ecfff7e6a415caf496073286cc2c5841a63a02db7d9ddf735145e4e

Observation 5d9ebbb4-67c5-436b-a6dd-002d3f298dd5 · inbound

A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization cites this paper.

A Parameter-Free and Near-Optimal Zeroth-Order Algorithm for Stochastic Convex Optimization DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-08T18:49:52.465284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:49:52.465284Z digest=sha256:1ba11bdd029ac5f936059e051a3c1fc613f49d9970682648a1597eb5e2fc5291

Observation 8df1ecf0-b370-44f6-b200-0395f3ee0a19 · inbound

Fantastic Pretraining Optimizers and Where to Find Them cites this paper.

Fantastic Pretraining Optimizers and Where to Find Them DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T11:59:49.585109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:59:49.585109Z digest=sha256:01bf3b79b5ad44d57792bb626b4c1eacdca0506b6bd0b39278d59971f3f270ec

Observation b9aa4aff-fd2e-4e49-aef2-726731ed5d0f · inbound

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models cites this paper.

Scalable Hyperparameter-Divergent Ensemble Training with Automatic Learning Rate Exploration for Large Models DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T21:51:19.971064Z

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=pdf_text observed=2026-05-08T04:08:25.530778Z digest=sha256:d4306f442fdb506121fd723ce6fbc9a86104a7dc04a8d0a9460dccbfce185f68

Observation f6ef02ce-f256-418b-8b4f-273b13a247d2 · inbound

Clipping the Price of Adaptivity at the Tail cites this paper.

Clipping the Price of Adaptivity at the Tail DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:09:43.451285Z

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=pdf_text observed=2026-06-26T10:25:20.703566Z digest=sha256:d58ee6e74d1816fbcc091fed1bb9ac252a86d78a7bb5c35ee0e04ae55dd61cd4