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Paper Citation Record · LEDGER

An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.04358.

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

pith.paper-citation-record.v1
2407.04358 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T19:10:48.631759Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 5a175d62-8c45-4535-acf8-e7165a64b131 · inbound

Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients cites this paper.

Safeguarded Stochastic Polyak Step Sizes for Non-smooth Optimization: Robust Performance Without Small (Sub)Gradients An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T19:10:48.631759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T19:10:48.631759Z digest=sha256:1c587bb3d39c1469c7dd372689ff139212a9cc9ddcf5a8941ee0f524d678c742

Observation 2f8aa75b-f52d-4c33-8878-41e9c90174c3 · inbound

LionVote: Per-Layer Learning Rate Adaptation for Lion cites this paper.

LionVote: Per-Layer Learning Rate Adaptation for Lion An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes

Reference 18

Resolution
unresolved
no resolver link, observed 2026-07-13T04:17:58.962415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-13T04:17:58.962415Z digest=sha256:79dfa12d99b3925f4206c4ba0b6ef0f3af2df2faa00934a8bfbf66cb36ec9e0f