Paper Citation Record · LEDGER

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere?

As of 14 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 2 inbound Pith citation observations for arXiv:2507.11228.

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

pith.paper-citation-record.v1
2507.11228 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:30:10.591540Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:43:17.135025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:39.674667Z

Reference resolution

5 of 5 outbound references displayed

verified exact1
verified fuzzy3
unresolved1
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9a8c47e1-1145-49b9-99cf-f3db20b85f04 · outbound

This paper cites Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes.

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere? Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T17:30:10.302005Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 263c6059-74e1-4860-871d-1b61780e649f · outbound

This paper cites Lectures on Convex Optimization , volume 137.

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere? Lectures on Convex Optimization , volume 137

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:11.086214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b34ff90f-d165-46e3-8299-8c881b122884 · outbound

This paper cites The Implicit Bias of Gradient Descent on Separable Data.

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere? The Implicit Bias of Gradient Descent on Separable Data

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:10.984363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a6d0d55f-cd93-4f9f-a99f-3dcc152eca3b · outbound

This paper cites Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability.

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere? Implicit Bias of Gradient Descent for Logistic Regression at the Edge of Stability

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T17:30:10.714166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9699a014-8ec4-4ff1-b348-fa13e5be6042 · outbound

This paper cites Bartlett, Matus Telgarsky, and Bin Yu.

Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere? Bartlett, Matus Telgarsky, and Bin Yu

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T17:30:10.867139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 54a7e80f-c198-405d-8556-3180fc93e729 · inbound

Stepsize Hedging: an Alternative Mechanism for Accelerating Gradient Descent cites this paper.

Stepsize Hedging: an Alternative Mechanism for Accelerating Gradient Descent Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere?

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.715385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3d01de33-7dcc-4a2f-b353-a6995b873038 · inbound

Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design cites this paper.

Finite-Sample Performance of Gradient Descent in Logistic Regression with Gaussian Design Gradient Descent on Logistic Regression: Do Large Step-Sizes Work with Data on the Sphere?

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:39.676168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.