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Paper Citation Record · LEDGER

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.08025.

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

pith.paper-citation-record.v1
2412.08025 v1

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:24:51.314185Z

measured 34 of 34 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 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

34 of 34 outbound references displayed

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  • verified fuzzy13
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  • parse uncertain0
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External citation measurements

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Outbound references

Observation 7f38370d-4d88-4c11-a4d3-69e4634f363d · outbound

This paper cites write newline.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime write newline

Reference 1

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source=arxiv_source observed=2026-08-11T18:24:51.142602Z digest=sha256:c8dc00d8faf027b568284f511b389d50535c4f6c9d5d31947bca221e9a1eff64

Observation 6474ad6a-05c3-4519-82da-9fb7342e4545 · outbound

This paper cites Learning threshold neurons via the "edge of stability".

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Learning threshold neurons via the "edge of stability"

Reference 2

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

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Observation d11fc630-2f00-4f19-9fcb-0129ce158e23 · outbound

This paper cites Understanding the unstable convergence of gradient descent.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Understanding the unstable convergence of gradient descent

Reference 3

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source=arxiv_source observed=2026-08-11T18:24:51.156364Z digest=sha256:21bab3fdc644aee7ee97df1449d2d9f6b58b2010f53e8ded820a3672885f613c

Observation 483bd577-c5e5-4df7-b7fa-e8295fdc932a · outbound

This paper cites Sgd with large step sizes learns sparse features.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Sgd with large step sizes learns sparse features

Reference 4

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source=arxiv_source observed=2026-08-11T18:24:51.162129Z digest=sha256:1f2dd446fb38a0e5e3d08f82af39c102936ce603b1691341f3f4ff60c9a7a39b

Observation e3ff6228-a4af-462f-9152-7d26fa804205 · outbound

This paper cites Understanding gradient descent on the edge of stability in deep learning.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Understanding gradient descent on the edge of stability in deep learning

Reference 5

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

source=arxiv_source observed=2026-08-11T18:24:51.167523Z digest=sha256:acbb9bcb8cd198045d057371dd6b947a48727ab6b3db5b9ebfd98aa199ac3c44

Observation e352d899-9244-43b9-b649-6f996da1098e · outbound

This paper cites On the implicit bias of initialization shape: Beyond infinitesimal mirror descent.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime On the implicit bias of initialization shape: Beyond infinitesimal mirror descent

Reference 6

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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.

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Observation 751385cd-a14f-4897-8101-24889bee5a00 · outbound

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

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Beyond the Edge of Stability via Two-step Gradient Updates

Reference 7

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source=arxiv_source observed=2026-08-11T18:24:51.176834Z digest=sha256:76788c5f0f31e8990c65aea8744319c7f9210216349766f4af1816e4bb04ad55

Observation 1002f453-7854-449a-8dca-7dfd44cc2c7e · outbound

This paper cites From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime From Stability to Chaos: Analyzing Gradient Descent Dynamics in Quadratic Regression

Reference 8

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local_arxiv, observed 2026-08-11T18:24:51.765477Z

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

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Observation 33225560-e65c-4f56-83ff-1775a5231b0e · outbound

This paper cites Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability

Reference 9

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source=arxiv_source observed=2026-08-11T18:24:51.188915Z digest=sha256:42b0f573a396972c14d0a3dc72d982c8c7485a3ef1c9307f4fc553a6119db237

Observation 79ccf2dd-ffcd-4839-baf2-ae9e5c278dab · outbound

This paper cites Adaptive Gradient Methods at the Edge of Stability.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Adaptive Gradient Methods at the Edge of Stability

Reference 10

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source=arxiv_source observed=2026-08-11T18:24:51.193730Z digest=sha256:cd3a10374c5b63e82be2f064ec5bb863d24ea8900ef467ae123ffa97819a11bb

Observation 1f81effb-2561-47aa-8d35-7dfb5cac33f9 · outbound

This paper cites Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Self-Stabilization: The Implicit Bias of Gradient Descent at the Edge of Stability

Reference 11

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source=arxiv_source observed=2026-08-11T18:24:51.198993Z digest=sha256:59fd89fff4cd88eb0c91099c9e4b4cba9f35c0fb1343f3a920ba7153f090f501

Observation ed4f646d-e280-46be-bd75-a89bcce84557 · outbound

This paper cites (S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime (S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability

Reference 12

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verified exact
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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.

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Observation b86c9b12-6fa4-433f-aa90-2c219fbbed24 · outbound

This paper cites Implicit regularization in matrix factorization.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Implicit regularization in matrix factorization

Reference 13

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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.

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Observation d8c788d9-94d8-494d-ae8a-17e7998f2bdc · outbound

This paper cites Mirrorless mirror descent: A natural derivation of mirror descent.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Mirrorless mirror descent: A natural derivation of mirror descent

Reference 14

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Observation fe94f36a-9f00-483e-af3e-3c1376b33a84 · outbound

This paper cites Catastrophic fisher explosion: Early phase fisher matrix impacts generalization.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Catastrophic fisher explosion: Early phase fisher matrix impacts generalization

Reference 15

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

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Observation 1142ad88-cd98-486b-bef6-16ef4ff7b3a1 · outbound

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

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime The large learning rate phase of deep learning: the catapult mechanism

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 8064f1ad-9919-4082-9ff2-43454289109d · outbound

This paper cites Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability

Reference 17

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

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Observation ed2273d5-564c-4d62-b9cc-e921175c3c5e · outbound

This paper cites Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Benign Oscillation of Stochastic Gradient Descent with Large Learning Rates

Reference 18

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

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Observation f5136e04-f5ce-42ff-ab9b-3afe1d2fcd84 · outbound

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

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Beyond the Quadratic Approximation: the Multiscale Structure of Neural Network Loss Landscapes

Reference 19

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Observation ea30ca56-aea6-4dda-a65c-28b5fed5ac11 · outbound

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Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Implicit bias of the step size in linear diagonal neural networks

Reference 20

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source=arxiv_source observed=2026-08-11T18:24:51.240397Z digest=sha256:324d878ae709806e12a9a7458be6dbf92bf628bd96889c2967eb627cd0900c09

Observation 07560856-4949-4528-8b77-7d4d4db7db25 · outbound

This paper cites Saddle-to-saddle dynamics in diagonal linear networks.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Saddle-to-saddle dynamics in diagonal linear networks

Reference 21

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Source-reported events for the cited work

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Observation dd650404-14d0-47c2-92cc-d494bf0cd3ad · outbound

This paper cites Implicit bias of sgd for diagonal linear networks: a provable benefit of stochasticity.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Implicit bias of sgd for diagonal linear networks: a provable benefit of stochasticity

Reference 22

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Observation 6adf75ba-b2cd-43a8-8b83-c61f845413c5 · outbound

This paper cites An introduction to dynamical systems: continuous and discrete, volume 19.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime An introduction to dynamical systems: continuous and discrete, volume 19

Reference 23

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Observation 336dda9c-cddc-4344-8e58-bd68ab2c8fae · outbound

This paper cites Trajectory alignment: Understanding the edge of stability phenomenon via bifurcation theory.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Trajectory alignment: Understanding the edge of stability phenomenon via bifurcation theory

Reference 24

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

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Observation 0297764c-e62a-483d-8caa-64c65e08fcf7 · outbound

This paper cites Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Nonlinear dynamics and chaos: with applications to physics, biology, chemistry, and engineering

Reference 25

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Observation 55b37765-6ee7-4d09-92bd-51942e17622d · outbound

This paper cites Implicit regularization for optimal sparse recovery.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Implicit regularization for optimal sparse recovery

Reference 26

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Unavailable: canonical work link unavailable.

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Observation bbe7704b-65de-4e4f-9196-a0db20119e6e · outbound

This paper cites Kernel and rich regimes in overparametrized models.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Kernel and rich regimes in overparametrized models

Reference 27

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:24:51.274145Z digest=sha256:0afcaa00be85a38d09852852eebe64236ed4548d0fb1f5a7fb5647e2bd274074

Observation 3982304a-2926-4eb0-85d2-b7ec67e59443 · outbound

This paper cites Implicit bias of gradient descent for logistic regression at the edge of stability.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Implicit bias of gradient descent for logistic regression at the edge of stability

Reference 28

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verified fuzzy
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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.

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Observation b2a3e90f-2d60-4e9b-8ebb-ae3732c5dff8 · outbound

This paper cites A Walk with SGD.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime A Walk with SGD

Reference 29

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source=arxiv_source observed=2026-08-11T18:24:51.286278Z digest=sha256:c8c3c1e73c50afaacbeab1837d5b83580aeb82197ee985ae39feecc45fd4bec7

Observation ef13f003-8d92-4c70-afc1-bc8c30a79cbd · outbound

This paper cites High-dimensional linear regression via implicit regularization.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime High-dimensional linear regression via implicit regularization

Reference 30

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verified fuzzy
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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.

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Observation 9d1bcfc3-f137-4377-9cda-a0af33294d2c · outbound

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

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Reference 31

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Unavailable: canonical work link unavailable.

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Observation 311ec9f8-2df3-4f01-9186-0f50fdbd5437 · outbound

This paper cites @esa (Ref.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime @esa (Ref

Reference 32

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Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime Unresolved cited work

Reference 33

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Observation c1846828-8e08-40a6-bdb5-a5423f1d0f70 · outbound

This paper cites reference.

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime reference

Reference 34

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Unavailable: canonical work link unavailable.

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