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Paper Citation Record · LEDGER

Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2210.03294.

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

pith.paper-citation-record.v1
2210.03294 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:24:51.296334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T10:36:52.031434Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

Criteria and Bias of Parameterized Linear Regression under Edge of Stability Regime cites this paper.

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

Reference 31

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T18:24:51.296334Z digest=sha256:a09480b5ad0ec8de6fad88bfcb4a0628605f742af8d0ca54a95ac0bea56fd83c

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

From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes cites this paper.

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.

source=arxiv_source observed=2026-08-11T18:02:14.784239Z digest=sha256:cf21eff4edb57f85da6025d316cfd34a0bf376e09400655b3edcd82207916027

Observation 8ff3b5ca-ae02-4f30-8523-23a7a76278b0 · inbound

On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials cites this paper.

On the Stability of Nonlinear Dynamics in GD and SGD: Beyond Quadratic Potentials Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-02T23:10:24.685962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T23:10:24.685962Z digest=sha256:35ce19a2aa4cd9110a7ca30b1d6ad9d6232957e56b1f3976633f0877dff282b9

Observation 8446f0b1-b235-48f2-a126-6d1977744054 · inbound

Generalization at the Edge of Stability cites this paper.

Generalization at the Edge of Stability Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Reference 79

Resolution
verified exact
arxiv_id, observed 2026-05-10T02:38:17.389802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-10T02:37:13.715607Z digest=sha256:942f211762e09bf77c5969c6e8e7adec1c24dc1bff5f933eb4a369cac354676e

Observation 1e68969d-e890-48d0-8b2b-057afc747c58 · inbound

Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network cites this paper.

Gradient descent at the Edge of Stability: free energy model and kinetic description of the two-layer network Understanding Edge-of-Stability Training Dynamics with a Minimalist Example

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-02T10:36:52.032960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-28T05:00:47.062637Z digest=sha256:123bd2a85aeea4d267c57f8bfda1ffad3a926edf51f4fc270d473ecef04be2ad