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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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
  • malformed identifier1
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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:ed00de385e23d1b4c3af6ca89d8f58a1c4845d1c6bd2da534c3c17e70c20d0d4

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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source=arxiv_source observed=2026-08-11T18:24:51.150418Z digest=sha256:d550b5808f661864eadbe2b097e827e8aa975e208578ca5f1fdc191827138b30

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.156364Z digest=sha256:c8684ad4a4a8801efb41288c2d720d8e8c7edbd1f578acf1868106e6b01affde

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:a2802b29410f90066f2b612e3dd20d4496dd7d26c57c1fcfe43a50f1511678f0

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.167523Z digest=sha256:61ae99e089c12bdc74bd869a9ace48daea793c2600772852313a5a004c39d7ff

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.172159Z digest=sha256:abe8a60bc00529b7166efa83186e3c7181bb9f7ce676ffcfcf96fd84f90d3020

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:dd4784f1aa2190e7518328511bd2b6fa60539c4427b9543174516faf8c95a8d1

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 2026-08-15T06:32:42.880941+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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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:e5c7f772d9928ca6c4a82dfa47cb67806aaaf07378cce828ba0dcb8950a71fb3

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=sha256:4bdaa514f53b73827a96e9c85fae52f5955625adcf7b8206c3814c98aeffaf55

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.203973Z digest=sha256:3f63491c53bc17f79e25d4c5a622502eb0a7febcdfca2eb72e0ce6c54345fcbc

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.216272Z digest=sha256:8a980e840b72d4f664af8a213d7f5d5682f34bb699b63e0edb36e98b2d01dda0

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=arxiv_source observed=2026-08-11T18:24:51.219961Z digest=sha256:373bb161bcd3e1092351737146860d5001f2bab7d9e60259ad3823e056b845d0

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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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+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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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 2026-08-15T06:32:42.880941+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:fdf68696e0d005175553995bbed284dc2a174f42ddec18d1af43664a90eeb8a3

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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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:dd18be9cf000c55d7919b0abdf584b1922d156f300bbbdf99105d8be6e1b7452

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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.281086Z digest=sha256:580ee1831ffefb7751084f832b4a0427bfae54695e8a369c7fd6b280e8f47533

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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Unavailable: canonical work link unavailable.

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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 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T18:24:51.291717Z digest=sha256:67a580fa0f8c296b984c8f3faef52485047ae7d5fb3cbc34bdcf6ad348ad10ac

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.

source=arxiv_source observed=2026-08-11T18:24:51.296334Z digest=sha256:85adb955bdc54ef24684a4117b40236611646296cc4919f808710db074f77efb

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=sha256:3fb952692579803752547b9bb2dee904274ede150f30ed42bd976a4bf7eb5cd6

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