Paper Citation Record · LEDGER

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes

As of 13 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2412.08424.

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

pith.paper-citation-record.v1
2412.08424 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:02:14.784239Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact1
verified fuzzy5
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 81162ec5-2fd0-41ad-8440-e541aa3b351b · outbound

This paper cites , " * write output.state after.block = add.period write newline.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.503359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b92f4d71-89ba-4ec4-9c38-39fe5a2d0798 · outbound

This paper cites write newline.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.516317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a17c42a-ab5e-4a53-80a2-8d60d1287c7b · outbound

This paper cites T.; Suarez, F.; and Zhang, Y.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes T.; Suarez, F.; and Zhang, Y

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.527268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e153b9-0c7c-4b20-861b-0c4529a95715 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.624131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ef4fd7e4-a22e-4723-90a8-c74c3d160c68 · outbound

This paper cites M.; and Nasrabadi, N.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes M.; and Nasrabadi, N

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.541831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4914d375-320f-4b38-915c-5f41a4d22109 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.583792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5b1b7503-b06e-4166-8e23-0f8482e8efbe · outbound

This paper cites Language Models are Few-Shot Learners.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Language Models are Few-Shot Learners

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.555645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 142bc0db-e00d-4b01-91db-115e3a98984a · outbound

This paper cites C.; Hinder, O.; and Sidford, A.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes C.; Hinder, O.; and Sidford, A

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:02:15.566150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dfd917ce-77bc-4c91-aec9-2b417c2e1f4f · outbound

This paper cites Beyond the Edge of Stability via Two-step Gradient Updates.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Beyond the Edge of Stability via Two-step Gradient Updates

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.584250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aacde653-2fd1-42a3-9451-935b659cc5b7 · outbound

This paper cites Z.; and Talwalkar, A.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Z.; and Talwalkar, A

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:02:15.550687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation b50ed7a0-e8ce-4315-8636-e56905b3ed62 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.600947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a79a305b-c511-4824-b041-04367ccb5d89 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.518935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6aaff382-1227-4ddc-8468-69a50f7fc8e7 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.497058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation afbb8650-d2ef-4ce4-8065-2fc8fb35a535 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.479436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 734104b4-583a-477d-bb1c-38ab209d3671 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.626247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e579529e-bad6-4889-985c-46fba832b1be · outbound

This paper cites Risk and parameter convergence of logistic regression.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Risk and parameter convergence of logistic regression

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.630695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2dc22834-afa5-483c-b32a-144d874ee3ad · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.439494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation a0434a85-73b0-4aa3-84dd-5708e1d1e7bc · outbound

This paper cites S.; Soudry, D.; and Carmon, Y.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes S.; Soudry, D.; and Carmon, Y

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:02:15.420877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f1838dec-fc62-4242-9bff-834eba1b8fd3 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.400647Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation aeeecd92-fe14-4392-94fc-7c90cd143358 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.379705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d52c1988-c408-4d4a-8e64-07b5417d9eaa · outbound

This paper cites The large learning rate phase of deep learning: the catapult mechanism.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes The large learning rate phase of deep learning: the catapult mechanism

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.668108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82ae0e58-7537-49eb-a989-ca29fcd5b902 · outbound

This paper cites C.; and Nocedal, J.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes C.; and Nocedal, J

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.676355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 148fbcc8-4cb2-4a7d-a61a-31c6e9afe5d5 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.342484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation dd1d3d06-85ea-4a2d-8503-0eb99370ce27 · outbound

This paper cites Beyond the Quadratic Approximation: the Multiscale Structure of Neural Network Loss Landscapes.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Beyond the Quadratic Approximation: the Multiscale Structure of Neural Network Loss Landscapes

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.689511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18a4b269-26cf-474b-894c-b9185d607c31 · outbound

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

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.697546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7177806-ee30-4017-ae64-1c53ae1e6cbe · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.308481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c18016e4-f537-4646-afc4-42d45e0b9d50 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.285962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0c67d598-8f55-4609-8633-5b49ec77994d · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.267693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7215c4a9-e089-4f8a-b6ca-656e24867c09 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.238456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation da3bb608-e42f-4145-99f5-f078485e6e47 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.186787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4bd65ef8-c9e7-4633-ae85-fc03cb83ca93 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.161371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 684fedf5-f126-4bf2-bd0e-cc9d81604991 · outbound

This paper cites Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Trajectory Alignment: Understanding the Edge of Stability Phenomenon via Bifurcation Theory

Reference 32

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:02:14.895923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ab38217f-1ab0-44f7-a858-a531f6c1fe77 · outbound

This paper cites S.; Gunasekar, S.; and Srebro, N.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes S.; Gunasekar, S.; and Srebro, N

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:02:15.135479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 2198e8bd-0114-4d28-8ac5-667fc09519fd · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.113246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 50791469-3b32-406a-b089-d5bc7a312e7f · outbound

This paper cites L.; Telgarsky, M.; and Yu, B.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes L.; Telgarsky, M.; and Yu, B

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:02:15.089390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 18ce71b6-2ec0-495b-bead-9fc4bcc02210 · outbound

This paper cites an unresolved cited work.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:02:15.072910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation de4f00cf-82ec-4636-af3a-594080396db8 · outbound

This paper cites Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.778578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f5133a-53b5-48f7-bc20-3d5de36964ad · outbound

This paper cites Understanding Edge-of-Stability Training Dynamics with a Minimalist Example.

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-11T18:02:14.784239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.