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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
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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:b335e7427318a556e2e4b5a28b5d3e3dc8dac34815774e6de0dcddc1d6be8213

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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verified exact
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source=arxiv_source observed=2026-08-11T18:24:51.150418Z digest=sha256:150bc2cc7152c6a028143ff85e2265135eaa57b9d6dc8f4817c77fab5d554fc1

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=sha256:2bb21ba47723117f4ed250c64ff055ebb2d741ca6ea7c9e8cad5044d0de188eb

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

source=arxiv_source observed=2026-08-11T18:24:51.162129Z digest=sha256:0e20b16d4df5dcba38fe83b11c556b855156f5203e98bb368398847361e9f6de

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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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=2026-08-11T18:24:51.167523Z digest=sha256:5c24bb1d1f74e31ba2f471537923f8a099a846a205b732281a3778aa45ac3915

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

source=arxiv_source observed=2026-08-11T18:24:51.172159Z digest=sha256:58979adcc41c82908a78dab1cc9aec5879b3c3c8235e3e12236588f0018566de

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=sha256:8954f5d04c6d89b33f04567e0d0c315ad1e23b14b0ec60c36cde9131e86b44f0

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

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.

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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=sha256:658ba43b4892eeb12aed3fd5f2625da8a3611b002bcec29c3639ace985fadacc

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=sha256:90b7c3c7f197c8dcf3ae4475cf10bc733a2177a508dfca23eccaf6068e010e43

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:f18c9327c1dce43a84c2a0dc9768689cf8367c41e75b3228c91c154a67b9a160

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 2026-08-15T06:32:42.880941+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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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=2026-08-11T18:24:51.212892Z digest=sha256:cefc6d90de1411f8d29f9371d9b8f933829dcdc8cac13a7e96b05b3ba2ed8892

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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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=2026-08-11T18:24:51.216272Z digest=sha256:78d14b8a2dfbfde5c827746aa5744dc10b318a85d74bb52641bd737f140783dc

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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no resolver link, observed 2026-08-11T18:24:51.219961Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:24:51.219961Z digest=sha256:55285142d9e4c4e3f2d0921f797a15ba1eb001cf9728c69367caf59fada3e94a

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

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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=sha256:58b1f73b088144c28f70c70b94dbf7435ab5b7b47a11361ce51833b3874df66e

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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verified fuzzy
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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:e458b90579bfdf95b5822f13018e789780e427f9957a48150bda03442742b8a9

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.

source=arxiv_source observed=2026-08-11T18:24:51.268831Z digest=sha256:41629778138aa743f301848e82350607d47573adcc8e42dac3fade5d44ac4c15

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=sha256:5603df8db1adf6c0b7edcaf079a54ccf42e132225c7bb47e17729ab1924d57c3

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=sha256:6ce3706a4550ae2486cc466eec4cca0736fffb1ffcf8fe6b36a45efe78c8bcc6

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:f92e62b960488fc3228d787a59bbb825010e7ec8469935fb4d1465e1e1edd10c

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=sha256:133f7c19b7b47ac33cd46432143f3cdd2e7b08a0d1f0e15bcd4816c1ea9020a7

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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no resolver link, observed 2026-08-11T18:24:51.296334Z

Source-reported events for the cited work

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.

source=arxiv_source observed=2026-08-11T18:24:51.303475Z digest=sha256:0d334196fea8ad01c526a4c803e7bdafa32f63f8554b810bbbe8f97ec813f6ec

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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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source=arxiv_source observed=2026-08-11T18:24:51.308817Z digest=sha256:d559363df99acb06039946c37ad412759890710dd2655db96aab81c46d283beb

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:be18291330945e88bfb3af7c9a581d73baab9f694523266c228c1488c5fc85f2

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