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Paper Citation Record · LEDGER

Mixed precision Newton's method for optimization

As of 12 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.04828.

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

pith.paper-citation-record.v1
2607.04828 v1

Coverage vector

measured 43 of 43 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

43 of 43 outbound references displayed

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External citation measurements

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Outbound references

Observation 0bfc68d1-b081-4195-8fd6-9827c4913324 · outbound

This paper cites nvidia, may 2024.

Mixed precision Newton's method for optimization nvidia, may 2024

Reference 1

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This paper cites IEEE Std 754-2019 (Revision of IEEE 754-2008), pages 1–84, July 2019.

Mixed precision Newton's method for optimization IEEE Std 754-2019 (Revision of IEEE 754-2008), pages 1–84, July 2019

Reference 2

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This paper cites Forward and backward error bounds for a mixed precision preconditioned conjugate gradient algorithm, 2025.

Mixed precision Newton's method for optimization Forward and backward error bounds for a mixed precision preconditioned conjugate gradient algorithm, 2025

Reference 3

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Mixed precision Newton's method for optimization Unresolved cited work

Reference 4

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This paper cites A Levenberg–Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients.

Mixed precision Newton's method for optimization A Levenberg–Marquardt method for large nonlinear least-squares problems with dynamic accuracy in functions and gradients

Reference 5

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This paper cites Adaptive cubic regularization methods with dynamic inexact hessian information and applica- tions to finite-sum minimization.

Mixed precision Newton's method for optimization Adaptive cubic regularization methods with dynamic inexact hessian information and applica- tions to finite-sum minimization

Reference 6

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This paper cites Subsampled inexact Newton methods for minimizing large sums of convex functions.

Mixed precision Newton's method for optimization Subsampled inexact Newton methods for minimizing large sums of convex functions

Reference 7

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This paper cites Inexact Newton methods with matrix approximation by sampling for nonlinear least-squares and systems, August 2023.

Mixed precision Newton's method for optimization Inexact Newton methods with matrix approximation by sampling for nonlinear least-squares and systems, August 2023

Reference 8

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Mixed precision Newton's method for optimization Unresolved cited work

Reference 9

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This paper cites Convex Optimization.

Mixed precision Newton's method for optimization Convex Optimization

Reference 10

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Mixed precision Newton's method for optimization Unresolved cited work

Reference 11

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Mixed precision Newton's method for optimization Unresolved cited work

Reference 12

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This paper cites Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation and Perspec- tives.

Mixed precision Newton's method for optimization Evaluation Complexity of Algorithms for Nonconvex Optimization: Theory, Computation and Perspec- tives

Reference 13

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Mixed precision Newton's method for optimization Unresolved cited work

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Mixed precision Newton's method for optimization Unresolved cited work

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Mixed precision Newton's method for optimization Dembo, Stanley C

Reference 16

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Mixed precision Newton's method for optimization Unresolved cited work

Reference 17

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Mixed precision Newton's method for optimization Dolan and Jorge J

Reference 18

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Mixed precision Newton's method for optimization Gratton and Ph

Reference 19

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Mixed precision Newton's method for optimization Gratton and Ph

Reference 20

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Mixed precision Newton's method for optimization Hestenes and Eduard Stiefel

Reference 21

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Mixed precision Newton's method for optimization Unresolved cited work

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Mixed precision Newton's method for optimization Higham and Theo Mary

Reference 24

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Mixed precision Newton's method for optimization Higham and Theo Mary

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Mixed precision Newton's method for optimization Horn and Charles R

Reference 26

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Mixed precision Newton's method for optimization Newton's Method in Three Precisions

Reference 29

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Mixed precision Newton's method for optimization Lancaster

Reference 30

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Mixed precision Newton's method for optimization Practical quasi-newton methods for solving nonlinear systems

Reference 31

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Mixed precision Newton's method for optimization A multi-precision quadratic regularization method for unconstrained optimization with rounding error analysis

Reference 32

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Mixed precision Newton's method for optimization A Structured Tour of Optimization with Finite Differences

Reference 34

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Mixed precision Newton's method for optimization Newton’s method in floating point arithmetic and iterative refinement of generalized eigenvalue problems

Reference 36

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Mixed precision Newton's method for optimization Lower and upper bounds of the con- vergence rate of gradient methods with composite noise in gradient, 2026

Reference 37

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Mixed precision Newton's method for optimization Wo´ zniakowski

Reference 38

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Mixed precision Newton's method for optimization Yao, Peng Xu, Fred Roosta, Stephen J

Reference 40

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Source-reported events for the cited work

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Observation 33190c68-e0de-4c5e-bd06-49fe8424a69c · outbound

This paper cites Inexact nonconvex Newton-type methods.

Mixed precision Newton's method for optimization Inexact nonconvex Newton-type methods

Reference 41

Resolution
malformed identifier
no resolver link, observed 2026-07-11T12:52:28.654949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c1769c62-dd5b-40f0-b185-9603b7270a6d · outbound

This paper cites an unresolved cited work.

Mixed precision Newton's method for optimization Unresolved cited work

Reference 42

Resolution
verified exact
doi, observed 2026-07-11T12:58:00.965606Z

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.

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Observation 0d5dadd0-1df8-4a16-904d-e1bfa44d9168 · outbound

This paper cites an unresolved cited work.

Mixed precision Newton's method for optimization Unresolved cited work

Reference 43

Resolution
verified exact
doi, observed 2026-07-11T12:58:01.003898Z

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=2026-07-11T12:52:28.654949Z digest=sha256:788183515598ca089eddc463e6966edb4eabef56f722d734ecf9408b11006c10

Pith citing papers

No inbound Pith citation observations are available.