Pith. sign in

Paper Citation Record · LEDGER

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods

As of 13 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.00059.

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

pith.paper-citation-record.v1
2412.00059 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:36:05.435089Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

25 of 25 outbound references displayed

  • verified exact2
  • verified fuzzy21
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 15e53011-91e2-42ca-878d-03fe5a297fcd · outbound

This paper cites Step-size Adaptation Using Exponentiated Gradient Updates.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Step-size Adaptation Using Exponentiated Gradient Updates

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:36:05.483141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.357647Z digest=sha256:44fa8c615ffbf512d14df6fce7416136298b1d6116b9df9e18f752ec2aec5f3c

Observation 1bb8c044-c254-46b0-a400-19d9c8241f1e · outbound

This paper cites Learning to Learn by Gradient Descent by Gradient Descent.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Learning to Learn by Gradient Descent by Gradient Descent

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.682232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.361688Z digest=sha256:546c847405e0e3b6d1b62d0c480f9542c41e2069aef5d8610627dd3a8e085d9c

Observation 46ebf565-bdc0-4f39-b90a-c15698878253 · outbound

This paper cites Minimization of Functions Having Lipschitz Continuous First Partial Derivatives.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Minimization of Functions Having Lipschitz Continuous First Partial Derivatives

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.673266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.365046Z digest=sha256:78641c06b0cdd89bdb15c81c44f552c8cbd1926051bf705ef4ce9baeed29d351

Observation 2ec5adc4-4547-473a-bd57-6b3e5e5c4cd9 · outbound

This paper cites An Introduction to Numerical Analysis.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods An Introduction to Numerical Analysis

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.664256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.368208Z digest=sha256:f3eb76e2c7d83b1cdec0cad97ac46bc23c1935b018ba5a25efab84ca288651ed

Observation e7b622e9-fdee-4a89-9122-d6bdabc4c392 · outbound

This paper cites First-Order Methods in Optimization.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods First-Order Methods in Optimization

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-12T13:36:05.371542Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:36:05.371542Z digest=sha256:b1aae665a093a25ec78d82a1816c202d8d8b53453fe12066cc57ab7ad2f357ea

Observation 8bc968ac-e60f-43f1-9209-b7105f192bb7 · outbound

This paper cites Convex Optimization.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Convex Optimization

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.650504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.375008Z digest=sha256:cb5ee5c359a20d13ea6fd143f4127309582fdde40d5ec6bad46b6be20ab8e4aa

Observation f22230e2-8ead-41e7-a1a8-c63f7b0938af · outbound

This paper cites A Class of Methods for Solving Nonlinear Simultaneous Equations.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods A Class of Methods for Solving Nonlinear Simultaneous Equations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.640170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.378550Z digest=sha256:e0f3b439c5cf412bb5008f3a3ebbcd6b9c6d5847d8a41b2d29f583ead2248b07

Observation 6cc9634e-81c6-425c-8a64-c32f37474318 · outbound

This paper cites Quasi-Newton Methods and Their Application to Function Minimisation.Mathematics of Computation, 21(99):368–381, 1967.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Quasi-Newton Methods and Their Application to Function Minimisation.Mathematics of Computation, 21(99):368–381, 1967

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.630893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.382658Z digest=sha256:28314cc77a9bc29187a51d788200ee14eeabd8d539ca2b68d05cd3d3a1f2dbdf

Observation 41751486-82f1-44b1-a749-514381c6edcb · outbound

This paper cites Convergence of Quasi-Newton Matrices Generated by the Symmetric Rank One Update.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Convergence of Quasi-Newton Matrices Generated by the Symmetric Rank One Update

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.622039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.385767Z digest=sha256:19bdc806978ae3657b258296e8a63722c94952dbaa1b2294e337c8b2d4f4ca06

Observation 0c5f0ce4-88d4-4ebf-943f-5e5fec47e6e1 · outbound

This paper cites A Characterization of Superlinear Convergence and Its Application to Quasi-Newton Methods.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods A Characterization of Superlinear Convergence and Its Application to Quasi-Newton Methods

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.613439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.388938Z digest=sha256:93ad3775f917381489dd69b7cbb304f41c8e12e62f66421a9f1fcade6e451adf

Observation f9bd5728-d9a7-48aa-8925-df4d1b3821c3 · outbound

This paper cites Quasi-Newton Methods, Motivation and Theory.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Quasi-Newton Methods, Motivation and Theory

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.604559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.391904Z digest=sha256:f2c5c7425fc80facbcaf40698e93eaced8acdc76b0c833b53b4693c6c675635a

Observation ef666e6c-8e25-4601-a249-51487d5e0b22 · outbound

This paper cites Adaptive Subgradient Methods for Online Learning and Stochastic Optimization.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Adaptive Subgradient Methods for Online Learning and Stochastic Optimization

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.595694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.395119Z digest=sha256:937805638085984ebb76f35149f6d9db8f1ac1f1d6a83cd01a6c46b8d5e5b421

Observation 51245e4a-a544-41ef-b211-84e6d813fff7 · outbound

This paper cites Neural Networks for Machine Learning, Lecture 6, 2012.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Neural Networks for Machine Learning, Lecture 6, 2012

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.585077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.398241Z digest=sha256:005f8804ef34485fa2065de206cba8a19bad863db652f58f233705a94ef7bbf8

Observation 2d2a2424-3696-4c76-acc0-b8eca82f8689 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Adam: A Method for Stochastic Optimization

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.576327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.401220Z digest=sha256:12d2f9b4343fdcc554fbb865cc0203fe7ccd56c4ba901f651b2a5af31c039f63

Observation 2cc4e405-b3c5-4387-91e2-93ed409f1a47 · outbound

This paper cites Searching for Optimal Per-Coordinate Step-Sizes with Multidimensional Backtracking.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Searching for Optimal Per-Coordinate Step-Sizes with Multidimensional Backtracking

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.567029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.404242Z digest=sha256:cfe3696c34e687fc1d90919073abe775e919abf5ae13fb84ad7599e0432883f6

Observation 11a69503-bce5-46e9-9344-7679c0d37af0 · outbound

This paper cites Towards Constituting Mathe- matical Structures for Learning to Optimize.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Towards Constituting Mathe- matical Structures for Learning to Optimize

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.558278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.407480Z digest=sha256:e93bca3d5c69633d5b5ee8f16681ed0e095de3a295261455f437a8566130bc08

Observation 1623205a-de75-4842-a64c-b66ab0e824e1 · outbound

This paper cites Learning Gradient Descent: Better Generalization and Longer Horizons.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Learning Gradient Descent: Better Generalization and Longer Horizons

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.548551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.410717Z digest=sha256:fe9067bb71d8c16203eb2206614d4f77c33c90dcd5b85c408a15ac577851260b

Observation 334057ef-86aa-4a0d-a2ba-999ff0c7b469 · outbound

This paper cites Gradient-Based Hyperparameter Optimization through Reversible Learning.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Gradient-Based Hyperparameter Optimization through Reversible Learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.539865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.413605Z digest=sha256:e17f5cf24010d07d241ba12d43de43395264de8272ed52c494481198f8d8966b

Observation 5adbd229-4616-43cf-a47c-9fe90358d80f · outbound

This paper cites Speed learning on the fly.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Speed learning on the fly

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:36:05.469727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.416357Z digest=sha256:cc353a43f053b2b7430aa5e262cb8907173d1da7003539f31b6120f3734d1b76

Observation 386e1433-c121-4669-a026-2ba0b2b48ed0 · outbound

This paper cites Fast Exact Multiplication by the Hessian.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Fast Exact Multiplication by the Hessian

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.530859Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.419582Z digest=sha256:eb614c268a47a9e9853fdf9eb63757d91490f9b5c47c81a16226a25769cc2db4

Observation 12c17944-8169-44ca-adc8-c7cecd754ba7 · outbound

This paper cites Greedy Quasi-Newton Methods with Explicit Superlinear Conver- gence.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Greedy Quasi-Newton Methods with Explicit Superlinear Conver- gence

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.520759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.422725Z digest=sha256:cf02ff067611d52488eefb050094f1c39c106beeaefdc5b54a976ce74b5f566f

Observation e70c279a-3034-464c-8d09-4276c043299d · outbound

This paper cites Large-Scale Convex Optimization: Algorithms & Analyses via Monotone Operators.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Large-Scale Convex Optimization: Algorithms & Analyses via Monotone Operators

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.511750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.425513Z digest=sha256:2208d35a072f8b265003d801ae08919e52ed492755c20fa393674289c4355e8c

Observation d48991aa-8905-4efe-8c49-075e16e6d13b · outbound

This paper cites Towards Robust Learning to Optimize with Theoretical Guarantees.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Towards Robust Learning to Optimize with Theoretical Guarantees

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.502475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.428511Z digest=sha256:b4bd9bfcdbf9dacf12b9101a531763084dd634f2fd18125c242fe1d485897bae

Observation 646507a0-1700-4078-8f5e-cf12a3013c0b · outbound

This paper cites Stochastic quasi-Newton with adaptive step lengths for large-scale problems.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods Stochastic quasi-Newton with adaptive step lengths for large-scale problems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T13:36:05.431530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:36:05.431530Z digest=sha256:f4c80169622a918e88e13d9d04c1e6518da8f539245f885a9e4bbc169933568e

Observation 087b7a44-3498-4e71-a546-f0f41a225b85 · outbound

This paper cites safe operating region.

A Learn-to-Optimize Approach for Coordinate-Wise Step Sizes for Quasi-Newton Methods safe operating region

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T13:36:05.493280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-12T13:36:05.435089Z digest=sha256:323aca9584f7f0760d39eb90d50de47a0e3d9ca72b14c157965ac60354590cdf

Pith citing papers

No inbound Pith citation observations are available.