Paper Citation Record · LEDGER

Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.05033.

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

pith.paper-citation-record.v1
2406.05033 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:48:13.535825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:59:39.669179Z

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 9a8c47e1-1145-49b9-99cf-f3db20b85f04 · inbound

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

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 5959ab96-702f-489d-909d-8d1e77d1901c · inbound

Adaptive control mechanisms in gradient descent algorithms cites this paper.

Adaptive control mechanisms in gradient descent algorithms Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T16:03:57.423825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31846050-38a6-4497-8aed-bf435f8901b0 · 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 with Non-Separable Data and Large Step Sizes

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-01T20:06:11.712939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94b0cf3d-6547-447a-8e00-0aa3929e1a22 · 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 with Non-Separable Data and Large Step Sizes

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-04T07:59:39.670661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e28a4277-d287-4e08-98a1-d038cb249d64 · inbound

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse cites this paper.

Implicit Bias of SGD in Multivariate ReLU Networks: Effective Width Collapse Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

Reference 92

Resolution: unresolved; no resolver link, observed 2026-07-12T01:11:50.444218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d418e26-8ad9-4c58-8ded-e09900db849f · inbound

Non-asymptotic implicit bias of logistic regression at early-stage gradient descent dynamics cites this paper.

Non-asymptotic implicit bias of logistic regression at early-stage gradient descent dynamics Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T18:48:13.535825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.