Pith. sign in

Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 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 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:02:00.107734Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T20:18:23.364311Z

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 32608d8a-48ce-452f-8f8e-de7ac191902b · inbound

Learning by solving differential equations cites this paper.

Learning by solving differential equations An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-15T20:18:23.371801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-15T20:18:22.801326Z digest=sha256:c009f52acefb2791894c975795a9469641422e81d6dcc02a674d656abfff8b32

Observation 4bfdd543-bdff-4703-afe0-40d4ce78a86f · inbound

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size cites this paper.

Enhancing Optimizer Stability: Momentum Adaptation of The NGN Step-size An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T04:02:00.107734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T04:02:00.107734Z digest=sha256:2ccbf47130b66762040a7608e0b27909dc03d8f8ad94cb690427f86ac92685a1

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:fd747a1381ca38f4b2f9c8be2679b481c123e962dc1272e1d47ba88a6f2c9697

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=sha256:0b7b2edb8c810f6262264b5177e75d6cab788a3c5fc85e4dfc321d11da12c989