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Paper Citation Record · LEDGER

The matrix-vector complexity of $Ax=b$

As of 17 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 4 inbound Pith citation observations for arXiv:2602.04842.

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

pith.paper-citation-record.v1
2602.04842 v4

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T04:34:17.145884Z

measured 55 of 55 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T21:16:08.912669Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:46:15.453878Z

Reference resolution

51 of 51 outbound references displayed

  • verified exact13
  • verified fuzzy0
  • unresolved38
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8d40bf4-87e6-4820-96f8-94ac9d96db16 · outbound

This paper cites Fixed-sparsity matrix approximation from matrix-vector products.

The matrix-vector complexity of $Ax=b$ Fixed-sparsity matrix approximation from matrix-vector products

Reference 1

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Observation 80aebd33-9b2c-4a3a-bd5f-ff1e73d6e602 · outbound

This paper cites On the rate of convergence of the preconditioned conjugate gradient method.

The matrix-vector complexity of $Ax=b$ On the rate of convergence of the preconditioned conjugate gradient method

Reference 2

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

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Observation c7dfa6da-3a0a-4c02-8d62-b699b49f3909 · outbound

This paper cites Clarkson, and David P.

The matrix-vector complexity of $Ax=b$ Clarkson, and David P

Reference 3

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Observation ba22d9b8-0a93-4485-a361-b763d8d40244 · outbound

This paper cites Otto, and Alex Townsend.

The matrix-vector complexity of $Ax=b$ Otto, and Alex Townsend

Reference 4

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Observation 0fdcbd5d-7b28-4afe-b9ec-a0ac373cada7 · outbound

This paper cites The gradient complexity of linear regression.

The matrix-vector complexity of $Ax=b$ The gradient complexity of linear regression

Reference 5

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Observation d569143f-3024-43a8-bd7e-7833981d9f4e · outbound

This paper cites Krylov methods are (nearly) optimal for low-rank approximation.

The matrix-vector complexity of $Ax=b$ Krylov methods are (nearly) optimal for low-rank approximation

Reference 6

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Observation c01d55a5-5013-46dc-be1c-e5c917fc4209 · outbound

This paper cites Convex Optimization.

The matrix-vector complexity of $Ax=b$ Convex Optimization

Reference 7

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Observation 9bed7873-c50a-4caa-a51a-f84f290860aa · outbound

This paper cites an unresolved cited work.

The matrix-vector complexity of $Ax=b$ Unresolved cited work

Reference 8

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Observation 3b8d3e57-63b5-4562-abdd-141437cd9c24 · outbound

This paper cites Query lower bounds for log-concave sampling.

The matrix-vector complexity of $Ax=b$ Query lower bounds for log-concave sampling

Reference 9

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Observation d8f0fd37-b68f-42b6-a6d9-a4e0b69202fb · outbound

This paper cites Clarkson and David P.

The matrix-vector complexity of $Ax=b$ Clarkson and David P

Reference 10

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Observation 498ec5d0-4f7e-4611-86d1-64f72a36ad50 · outbound

This paper cites Clarkson and David P.

The matrix-vector complexity of $Ax=b$ Clarkson and David P

Reference 11

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verified exact
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Observation 8cf23252-f507-4dfe-8552-ad7f805afea6 · outbound

This paper cites DeVore and George G.

The matrix-vector complexity of $Ax=b$ DeVore and George G

Reference 12

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Observation 7f5d84cf-126c-47bb-a06c-3b1e252861bb · outbound

This paper cites Fine-grained analysis and faster algorithms for iteratively solving linear systems.

The matrix-vector complexity of $Ax=b$ Fine-grained analysis and faster algorithms for iteratively solving linear systems

Reference 13

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Observation f40932cd-6849-4974-bde1-134885e8ea17 · outbound

This paper cites Recent and upcoming developments in randomized numerical linear algebra for machine learning.

The matrix-vector complexity of $Ax=b$ Recent and upcoming developments in randomized numerical linear algebra for machine learning

Reference 14

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Observation d52926e9-104b-4bc8-817c-a63df3328390 · outbound

This paper cites The total variation distance between high-dimensional Gaussians with the same mean.

The matrix-vector complexity of $Ax=b$ The total variation distance between high-dimensional Gaussians with the same mean

Reference 15

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Observation 9965713f-9e82-4f25-b5f3-7c1eeafc88b7 · outbound

This paper cites Faster linear systems and matrix norm approximation via multi-level sketched preconditioning.

The matrix-vector complexity of $Ax=b$ Faster linear systems and matrix norm approximation via multi-level sketched preconditioning

Reference 16

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Observation c907de89-a7b1-437a-93fa-baf45804cc34 · outbound

This paper cites Approaching optimality for solving dense linear systems with low-rank structure.

The matrix-vector complexity of $Ax=b$ Approaching optimality for solving dense linear systems with low-rank structure

Reference 17

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Observation 7a2ef7c2-12fb-45d3-b1f6-56c298f69528 · outbound

This paper cites Driscoll, Kim-Chuan Toh, and Lloyd N.

The matrix-vector complexity of $Ax=b$ Driscoll, Kim-Chuan Toh, and Lloyd N

Reference 18

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Observation c1170b89-8053-4f30-b786-b6cb24511cc1 · outbound

This paper cites Solving dense linear systems faster than via preconditioning.

The matrix-vector complexity of $Ax=b$ Solving dense linear systems faster than via preconditioning

Reference 19

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Observation 2a6cd55c-482a-46bf-8628-78958fe9f6cb · outbound

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The matrix-vector complexity of $Ax=b$ Unresolved cited work

Reference 20

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Observation 88238f96-243c-4c33-8078-10c0cc07f2e0 · outbound

This paper cites Un algorithme simple et rapide pour la validation croisée généralisée sur des problèmes de grande taille.

The matrix-vector complexity of $Ax=b$ Un algorithme simple et rapide pour la validation croisée généralisée sur des problèmes de grande taille

Reference 21

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Observation 711bd8b1-7f7c-4551-85f4-46931c6e8f44 · outbound

This paper cites Iterative Methods for Solving Linear Systems.

The matrix-vector complexity of $Ax=b$ Iterative Methods for Solving Linear Systems

Reference 22

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Observation 1e01c985-9846-478c-938e-b5ee0c93093b · outbound

This paper cites Structured Matrix Recovery and Approximation from Matrix-Vector Products.

The matrix-vector complexity of $Ax=b$ Structured Matrix Recovery and Approximation from Matrix-Vector Products

Reference 23

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Observation d6ca5db6-038b-43f3-af35-c51394eb0a58 · outbound

This paper cites Harrow, Avinatan Hassidim, and Seth Lloyd.

The matrix-vector complexity of $Ax=b$ Harrow, Avinatan Hassidim, and Seth Lloyd

Reference 24

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Observation 79ad4b69-b6c1-4204-9e0e-24eb53ce44ed · outbound

This paper cites Optimal sketching for trace estimation.

The matrix-vector complexity of $Ax=b$ Optimal sketching for trace estimation

Reference 25

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Observation 0b77ca25-6b4a-44a1-93c5-8ba1d2edc5c9 · outbound

This paper cites Polynomial of best uniform approximation to $x^{-1}$ and smoothing in two-level methods.

The matrix-vector complexity of $Ax=b$ Polynomial of best uniform approximation to $x^{-1}$ and smoothing in two-level methods

Reference 26

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Observation 65452f33-16d2-442b-92d8-2dd0f7a9bc9a · outbound

This paper cites Markov Chains and Mixing Times , volume 107.

The matrix-vector complexity of $Ax=b$ Markov Chains and Mixing Times , volume 107

Reference 27

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Observation e19c56d9-a430-4e56-b359-03f71b491236 · outbound

This paper cites Meyer and Haim Avron.

The matrix-vector complexity of $Ax=b$ Meyer and Haim Avron

Reference 28

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

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Observation 8bf8cef5-acce-499b-a036-0cc2c4d78139 · outbound

This paper cites Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software.

The matrix-vector complexity of $Ax=b$ Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software

Reference 29

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Observation 7ffda6e9-2f71-475d-8b24-6e508b812c7e · outbound

This paper cites Towards Optimal Matrix-Vector Complexity in Numerical Linear Algebra.

The matrix-vector complexity of $Ax=b$ Towards Optimal Matrix-Vector Complexity in Numerical Linear Algebra

Reference 30

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Observation c7311973-e4f5-4cd3-ad21-f6ebeee4c66d · outbound

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The matrix-vector complexity of $Ax=b$ Geometric median and robust estimation in Banach spaces

Reference 31

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Observation 0ca9580f-60dc-4fa3-8835-1d98de774f9e · outbound

This paper cites Meyer, Cameron Musco, Christoper Musco, and David P.

The matrix-vector complexity of $Ax=b$ Meyer, Cameron Musco, Christoper Musco, and David P

Reference 32

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Observation 87408401-3c62-4220-aef3-01d9cb6fc562 · outbound

This paper cites Randomized Algorithms.

The matrix-vector complexity of $Ax=b$ Randomized Algorithms

Reference 33

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Observation f89313be-4053-4f5d-9d30-6e2747a06931 · outbound

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The matrix-vector complexity of $Ax=b$ Foundations of Machine Learning

Reference 34

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Observation a2a72a0a-1cc5-4117-93a0-7626c4da7935 · outbound

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The matrix-vector complexity of $Ax=b$ Unresolved cited work

Reference 35

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Observation 70f8dfb6-f233-4662-a5b4-a5790d235111 · outbound

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The matrix-vector complexity of $Ax=b$ Musco and D

Reference 36

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Observation f6123755-79bf-4dfe-b64d-fdb6c8d56851 · outbound

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The matrix-vector complexity of $Ax=b$ Nachtigal, Satish C

Reference 37

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Observation a957eba5-d25a-49c6-9b08-ef4111049151 · outbound

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The matrix-vector complexity of $Ax=b$ Problem Complexity and Method Efficiency in Optimization

Reference 38

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Observation d88be3bd-ace9-4ea1-bec4-86aa902515cb · outbound

This paper cites Paige and Michael A.

The matrix-vector complexity of $Ax=b$ Paige and Michael A

Reference 39

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Reference 40

Resolution
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Reference 41

Resolution
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The matrix-vector complexity of $Ax=b$ Rácz and Jacob Richey

Reference 42

Resolution
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The matrix-vector complexity of $Ax=b$ A fast randomized algorithm for overdetermined linear least-squares regression

Reference 43

Resolution
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This paper cites Tight query complexity lower bounds for PCA via finite sample deformed Wigner law.

The matrix-vector complexity of $Ax=b$ Tight query complexity lower bounds for PCA via finite sample deformed Wigner law

Reference 44

Resolution
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The matrix-vector complexity of $Ax=b$ Solve for x: Technical perspective

Reference 45

Resolution
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Reference 46

Resolution
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Reference 47

Resolution
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Reference 48

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The matrix-vector complexity of $Ax=b$ Optimal query complexities for dynamic trace estimation

Reference 49

Resolution
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The matrix-vector complexity of $Ax=b$ Divide and conquer kernel ridge regression

Reference 50

Resolution
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The matrix-vector complexity of $Ax=b$ write newline

Reference 51

Resolution
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Pith citing papers

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Towards Universal Convergence of Backward Error in Linear System Solvers cites this paper.

Towards Universal Convergence of Backward Error in Linear System Solvers The matrix-vector complexity of $Ax=b$

Reference 12

Resolution
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Well-Conditioned Oblivious Perturbations in Linear Space cites this paper.

Well-Conditioned Oblivious Perturbations in Linear Space The matrix-vector complexity of $Ax=b$

Reference 23

Resolution
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Spectral density estimation for normal matrices The matrix-vector complexity of $Ax=b$

Reference 15

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Transpose-free linear algebra The matrix-vector complexity of $Ax=b$

Reference 26

Resolution
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