Paper Citation Record · LEDGER

Risk and parameter convergence of logistic regression

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1803.07300.

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

pith.paper-citation-record.v1
1803.07300 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:18:38.365132Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T04:37:36.566338Z

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 1c44eabb-6c75-4766-8135-bffa672e4ce9 · inbound

Gradient Descent as a Perceptron Algorithm: Understanding Dynamics and Implicit Acceleration cites this paper.

Gradient Descent as a Perceptron Algorithm: Understanding Dynamics and Implicit Acceleration Risk and parameter convergence of logistic regression

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T12:14:51.309312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation da3d036f-a3e9-40ce-be0b-3250abb58ee0 · inbound

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits cites this paper.

Implicit Bias and Invariance: How Hopfield Networks Efficiently Learn Graph Orbits Risk and parameter convergence of logistic regression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T16:18:38.365132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cb1b50a-8ac2-4b01-85db-9d4476b1c361 · inbound

The Effect of Mini-Batch Noise on the Implicit Bias of Adam cites this paper.

The Effect of Mini-Batch Noise on the Implicit Bias of Adam Risk and parameter convergence of logistic regression

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-05-16T08:07:34.282618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation d434a5fc-aa3c-4537-bcc8-b62ee87b6659 · inbound

Efficient Logistic Regression with Mixture of Sigmoids cites this paper.

Efficient Logistic Regression with Mixture of Sigmoids Risk and parameter convergence of logistic regression

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:48:15.642384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 79cdd547-fa26-424e-8892-7ef86b2388db · inbound

Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity cites this paper.

Mirror Descent Beyond Euclidean Stability: An Exponential Separation in Initialization Sensitivity Risk and parameter convergence of logistic regression

Reference 79

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T04:37:36.567597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 2905a7f1-ebfb-4185-89d9-3b0cf840a7ae · inbound

Convergence of Continual Learning in Homogeneous Deep Networks cites this paper.

Convergence of Continual Learning in Homogeneous Deep Networks Risk and parameter convergence of logistic regression

Reference 91

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T07:14:21.695232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fdc1c9dc-216b-4455-afde-06b15df32fab · 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 Risk and parameter convergence of logistic regression

Reference 229

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.