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Paper Citation Record · LEDGER

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE

As of 17 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:1908.10426.

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

pith.paper-citation-record.v1
1908.10426 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:51:26.444933Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

10 of 10 outbound references displayed

  • verified exact2
  • verified fuzzy6
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7595b69a-c089-40f2-858a-20d889c32bf4 · outbound

This paper cites Explicit Stabilised Gradient Descent for Faster Strongly Convex Optimisation.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE Explicit Stabilised Gradient Descent for Faster Strongly Convex Optimisation

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:51:26.523274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.401595Z digest=sha256:bb9b58674eebea9a262c7fe9b5ff93a5b2f6229ddd48143ee62cc341e5d408c9

Observation a2154d14-c696-415c-b17a-a226c968c7c2 · outbound

This paper cites Stiffness of odes.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE Stiffness of odes

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:51:26.619892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.407723Z digest=sha256:81e78cdc2d7b4997d71c50f2557d1f5d41e9cc6f80208c9f99e2ef6ed7772d1d

Observation e963bd8e-c28d-42c7-a160-aa389d3f4634 · outbound

This paper cites A method for solving convex programming problems with convergence rate o(1/k2).

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE A method for solving convex programming problems with convergence rate o(1/k2)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:51:26.605354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.412332Z digest=sha256:eb3603001e6ee7b8d7ced92f6cd7ff610a40e1364ae58e5de813812036642a57

Observation 9669d43c-8b0a-400b-9f62-b59e960a8c3b · outbound

This paper cites Accelerating the cubic regularization of newton’s method on convex problems.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE Accelerating the cubic regularization of newton’s method on convex problems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T10:51:26.417376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:51:26.417376Z digest=sha256:f66306b16f36706d36374466092245670395a254d54037525369499a0d05cdb5

Observation 99b31ac2-6670-43c8-b050-417297560805 · outbound

This paper cites Understanding the Acceleration Phenomenon via High-Resolution Differential Equations.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE Understanding the Acceleration Phenomenon via High-Resolution Differential Equations

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T10:51:26.421704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:51:26.421704Z digest=sha256:c0056db3d34b7cbba85ef7f22c443b3a0ba54797c5a28fa1c00bc86a243562e6

Observation bae4693e-12f4-4623-9c40-21e3f4d6ce90 · outbound

This paper cites Acceleration via Symplectic Discretization of High-Resolution Differential Equations.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE Acceleration via Symplectic Discretization of High-Resolution Differential Equations

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-08-14T10:51:26.485877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.426775Z digest=sha256:8feefcd0773c6799a1779810f3cce06a6b892028be775b849d9a6e8481111132

Observation d770d0fd-8051-4434-a729-aecb54feeed2 · outbound

This paper cites A differential equation for modeling nesterov’s accelerated gradient method: Theory and insights.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE A differential equation for modeling nesterov’s accelerated gradient method: Theory and insights

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:51:26.581883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.432057Z digest=sha256:ece35d46237fdd8588cba47b87bfb8ace65212b0989dffee66affa60a00dd258

Observation ba8a7d87-e636-42d6-9f2e-f50012805bc9 · outbound

This paper cites Wilson, and Michael I.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE Wilson, and Michael I

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:51:26.567609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.436496Z digest=sha256:79b7ad74c9bc4beac5978780f8faf4b6f8a6bf6dc580bc5a9e4878a26504bbea

Observation 4089c4d7-f0ab-4fd5-899e-dcc794c1d195 · outbound

This paper cites Direct runge-kutta discretization achieves acceleration.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE Direct runge-kutta discretization achieves acceleration

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:51:26.552305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.440854Z digest=sha256:85ca582abb5d32b5e14026455e8d745895e54f00466972f08f0379b6c419dd3c

Observation cf41b3c4-0e65-4428-b12a-b6cd6e43558c · outbound

This paper cites We have 0 = det(M∞−λI) = lim k→∞ det ( 1− p k−λ p k −Cpϵ(k + 1)p−1(k−p k )A 1−Cpϵ(k + 1)p−1(p k)A−λ ) =λ2 +λ(Cp2ϵA− 2) + 1 =λ2 +λ(4CϵA− 2) + 1.

On the stability of optimization algorithms given by discretizations of the Euler-Lagrange ODE We have 0 = det(M∞−λI) = lim k→∞ det ( 1− p k−λ p k −Cpϵ(k + 1)p−1(k−p k )A 1−Cpϵ(k + 1)p−1(p k)A−λ ) =λ2 +λ(Cp2ϵA− 2) + 1 =λ2 +λ(4CϵA− 2) + 1

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:51:26.538189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-14T10:51:26.444933Z digest=sha256:1b2ae65b8e6e2c7715f9837a4acfa3b8073b749bdceb92a7072992301cea7b93

Pith citing papers

No inbound Pith citation observations are available.