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Paper Citation Record · LEDGER

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

As of 21 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 2026-08-20T06:33:59.587034+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
  • unresolved15
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

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:e8bd79f67fa7e23a4443be969e27e7bf062beb6cd72d6153ca8153b640cfe661

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 2026-08-20T06:33:59.587034+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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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=sha256:4c238424eb3663d80a063100484a1d7d4e58717ebf6f013b8a7469f012f50295

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.167523Z digest=sha256:9a4d410810d2433ec7c2a1ce45166bb2669b2ce5fe7aa867476264fd5a89b28c

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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.172159Z digest=sha256:5d762d957f406e9affe3c292ba38648642c9d27e82826e38d9da6e5804f76af6

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=sha256:9bccfecd55203f31e4b098c38345d875142e7df218802481899766543483497e

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 2026-08-20T06:33:59.587034+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:ce8d61597c9724ae346e4ca5f81dc5f14a6f814ca8462cdd1dd7aca1ff78d615

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=sha256:4365f4b6f7969513ac03cf4df483d19c553698ecaabbe214cf59ab76ab39bf29

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=sha256:18fc2af8156c2307b3f068afa35c7b047837229a4532e24aaf39d1905430c145

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

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.203973Z digest=sha256:457ba43668fa9def2d51b55d0008eb2890b100a486dd8949154f53a57be07ccc

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 2026-08-20T06:33:59.587034+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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.216272Z digest=sha256:adbc9a025baa290b01f3567650df338b6d0df859b769e98b18d9d1d09440cf99

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:24:51.219961Z digest=sha256:f3ad72b5fee49596e21180ec0d23b27e66a6fc6fe904cd1e617adf39c36b87f1

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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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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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verified exact
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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+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

This paper cites Implicit bias of the step size in linear diagonal neural networks.

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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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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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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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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source=arxiv_source observed=2026-08-11T18:24:51.249702Z digest=sha256:b17288ac746d83f84054b3b88cd4f0dd28b79600f1a346f4cc6b3bd999c76bc1

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 2026-08-20T06:33:59.587034+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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source=arxiv_source observed=2026-08-11T18:24:51.264085Z digest=sha256:f587367012f563df412640f000058ee1500ed7d98d819c21e29fb3be91cb1a7d

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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source=arxiv_source observed=2026-08-11T18:24:51.268831Z digest=sha256:8467cd55c1e0d8b90d35562ddf9ed5f9a8f511ffb41326f399f45dab9985e1d3

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=sha256:0f354f8c21bc1431bcd1b68ea4f7dfb74473c7fbe19ca8033b69ef11f33de9e2

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 2026-08-20T06:33:59.587034+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:aa1fd7abb7a8a68198c336ffae0a60dc54f5acf0e011c588972f2f9d4406e613

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 2026-08-20T06:33:59.587034+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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Unavailable: canonical work link unavailable.

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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.

source=arxiv_source observed=2026-08-11T18:24:51.314185Z digest=sha256:343ea39e5aea22620493fdf8f8e2d8ca102aacbe8c271d2d6cc9be76c6e0ae2a

Pith citing papers

No inbound Pith citation observations are available.