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Paper Citation Record · LEDGER

Connecting randomized iterative methods with Krylov subspaces

As of 10 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 4 inbound Pith citation observations for arXiv:2505.20602.

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

pith.paper-citation-record.v1
2505.20602 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:49.046042Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:43:07.646135Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:54:03.386835Z

Reference resolution

70 of 70 outbound references displayed

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External citation measurements

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Outbound references

Observation f43eaa9b-f7ed-4375-b5fe-b7ab43b4e97e · outbound

This paper cites Randomized Gram-Schm idt process with application to GMRES.

Connecting randomized iterative methods with Krylov subspaces Randomized Gram-Schm idt process with application to GMRES

Reference 1

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Observation f757b95d-1673-45ed-97d7-05d415658134 · outbound

This paper cites Pattern recognition and machine learning.

Connecting randomized iterative methods with Krylov subspaces Pattern recognition and machine learning

Reference 2

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Observation b1a808c8-ad43-43de-b17c-dc2bce0b201a · outbound

This paper cites Introduction to applied linear algebra: vectors, matrices , and least squares.

Connecting randomized iterative methods with Krylov subspaces Introduction to applied linear algebra: vectors, matrices , and least squares

Reference 3

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Observation 3202a218-a51f-470a-ad02-457bce7c6a35 · outbound

This paper cites Gmres with randomized sketching and deflated restarting.

Connecting randomized iterative methods with Krylov subspaces Gmres with randomized sketching and deflated restarting

Reference 4

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Observation acc5aa7b-7f23-4028-a9ad-cf5ed3326d9d · outbound

This paper cites Libsvm: a library for support vector machines.

Connecting randomized iterative methods with Krylov subspaces Libsvm: a library for support vector machines

Reference 5

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Observation 8440852f-4408-43a6-9cf2-bf2bdb794c5a · outbound

This paper cites Finding frequent items in data streams.Theor.

Connecting randomized iterative methods with Krylov subspaces Finding frequent items in data streams.Theor

Reference 6

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Observation 592999df-0354-46df-ace4-40bee29f7721 · outbound

This paper cites Regularized Kaczmarz algorith ms for tensor recovery.

Connecting randomized iterative methods with Krylov subspaces Regularized Kaczmarz algorith ms for tensor recovery

Reference 7

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Observation 7c9e63b9-d6ba-4397-ad62-c1155d975139 · outbound

This paper cites Low-rank approxi mation and regression in input sparsity time.

Connecting randomized iterative methods with Krylov subspaces Low-rank approxi mation and regression in input sparsity time

Reference 8

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Source-reported events for the cited work

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Observation 23967910-a03c-4532-b062-40a1a8e962e4 · outbound

This paper cites An improved data stream summary: the count-min sketch and its applications.

Connecting randomized iterative methods with Krylov subspaces An improved data stream summary: the count-min sketch and its applications

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a27925f3-b3e7-4be6-ad40-bc8762700cb2 · outbound

This paper cites Recent and upcoming developments in randomized nu- merical linear algebra for machine learning.

Connecting randomized iterative methods with Krylov subspaces Recent and upcoming developments in randomized nu- merical linear algebra for machine learning

Reference 10

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Observation 4e9d5633-30a0-407d-a4f3-dcce58ee81fc · outbound

This paper cites Unified matrix treatment of the fast wal sh-hadamard transform.

Connecting randomized iterative methods with Krylov subspaces Unified matrix treatment of the fast wal sh-hadamard transform

Reference 11

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Observation a7b90fe4-ab59-4e97-9256-9c65416f7619 · outbound

This paper cites Ri dgeSketch: a fast sketching based solver for large scale ridge regression.

Connecting randomized iterative methods with Krylov subspaces Ri dgeSketch: a fast sketching based solver for large scale ridge regression

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d4654221-01cb-4b38-99c3-0640887b4ea9 · outbound

This paper cites Acceleration schemes for the method of alternating projections.

Connecting randomized iterative methods with Krylov subspaces Acceleration schemes for the method of alternating projections

Reference 13

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Source-reported events for the cited work

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Observation 2c57b24e-635e-4618-8fa8-2ba6d87ca92c · outbound

This paper cites Matrix computations.

Connecting randomized iterative methods with Krylov subspaces Matrix computations

Reference 14

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Source-reported events for the cited work

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Observation d5d06011-df7a-406b-bd42-bbe6762a1c68 · outbound

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Connecting randomized iterative methods with Krylov subspaces Unresolved cited work

Reference 15

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 34354e06-d1ee-46b3-82cf-d265f6ba6aee · outbound

This paper cites Gower and Peter Richt´ arik.

Connecting randomized iterative methods with Krylov subspaces Gower and Peter Richt´ arik

Reference 16

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Observation d36ab3cb-7b26-4826-81f4-cdf979ae60f3 · outbound

This paper cites A sketch-and-select Arnoldi process.

Connecting randomized iterative methods with Krylov subspaces A sketch-and-select Arnoldi process

Reference 17

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Source-reported events for the cited work

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Observation a27790fb-1fd8-43d2-9011-c672538df6cc · outbound

This paper cites Randomized Doug las–Rachford methods for linear systems: Improved accuracy and efficiency.

Connecting randomized iterative methods with Krylov subspaces Randomized Doug las–Rachford methods for linear systems: Improved accuracy and efficiency

Reference 18

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Observation 5dc908db-5c55-4f9e-aa9c-79c9e6cdf4c4 · outbound

This paper cites Randomized Doug las-Rachford methods for linear systems: Improved accuracy and efficiency.

Connecting randomized iterative methods with Krylov subspaces Randomized Doug las-Rachford methods for linear systems: Improved accuracy and efficiency

Reference 19

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Source-reported events for the cited work

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Observation 71d4514f-cd75-44f9-be42-4be87dc8ed3f · outbound

This paper cites On pseudoinverse-free randomized methods for linear systems: Unified framework and acceleration.

Connecting randomized iterative methods with Krylov subspaces On pseudoinverse-free randomized methods for linear systems: Unified framework and acceleration

Reference 20

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Observation 95d8a7e4-bdcb-4f13-8be3-b21fd684ac44 · outbound

This paper cites The elements of statistical learning: data mining, inference, and prediction, 2009.

Connecting randomized iterative methods with Krylov subspaces The elements of statistical learning: data mining, inference, and prediction, 2009

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 5cbf0967-0794-4eab-b1f3-18ca96c63037 · outbound

This paper cites Inertial ra ndomized kaczmarz algorithms for solving coherent linear systems.

Connecting randomized iterative methods with Krylov subspaces Inertial ra ndomized kaczmarz algorithms for solving coherent linear systems

Reference 22

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Observation ed5d0a71-22fc-45bd-9073-2e2d4007c47f · outbound

This paper cites Rows v ersus columns: Randomized Kaczmarz or Gauss–Seidel for ridge regression.

Connecting randomized iterative methods with Krylov subspaces Rows v ersus columns: Randomized Kaczmarz or Gauss–Seidel for ridge regression

Reference 23

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Observation fb8fdf17-7cef-454d-bec8-40e58fcb5f60 · outbound

This paper cites Generalized Gearhart-Koshy acceleration is a Krylov subspace method.

Connecting randomized iterative methods with Krylov subspaces Generalized Gearhart-Koshy acceleration is a Krylov subspace method

Reference 24

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Observation f403a589-dd5d-43f0-b9a9-0e0e24d25fd5 · outbound

This paper cites Algebraic reconstruction techniques can be made computation- ally efficient (positron emission tomography application).

Connecting randomized iterative methods with Krylov subspaces Algebraic reconstruction techniques can be made computation- ally efficient (positron emission tomography application)

Reference 25

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Observation d6c1b475-54c8-4347-a021-179c1ccc4986 · outbound

This paper cites Randomized K aczmarz in adversarial distributed setting.

Connecting randomized iterative methods with Krylov subspaces Randomized K aczmarz in adversarial distributed setting

Reference 26

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Observation ac399a2e-67e3-4f2d-9711-d47900a1f03c · outbound

This paper cites Linear convergence of randomized Kaczmarz method for solving complex- valued phaseless equations.

Connecting randomized iterative methods with Krylov subspaces Linear convergence of randomized Kaczmarz method for solving complex- valued phaseless equations

Reference 27

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Observation 479fb3a1-405c-4b21-9a69-1a7e2cdf5cc7 · outbound

This paper cites Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints.

Connecting randomized iterative methods with Krylov subspaces Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints

Reference 28

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Unavailable: canonical work link unavailable.

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Observation 04a0b303-ed77-4d68-8c6b-6923be4334e4 · outbound

This paper cites Extensi ons of lipschitz mappings into a hilbert space.

Connecting randomized iterative methods with Krylov subspaces Extensi ons of lipschitz mappings into a hilbert space

Reference 29

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Source-reported events for the cited work

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Observation 147705f6-e4c5-4415-80f5-401fb679636c · outbound

This paper cites Angen¨ aherte aufl¨ osung von systemen linearer glei-chungen.

Connecting randomized iterative methods with Krylov subspaces Angen¨ aherte aufl¨ osung von systemen linearer glei-chungen

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2493e568-ff9f-4c39-9567-2422bca78e28 · outbound

This paper cites The suitesparse matrix collection website interface.

Connecting randomized iterative methods with Krylov subspaces The suitesparse matrix collection website interface

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 60950e21-99dd-4741-91a6-85e0bdc123f0 · outbound

This paper cites First-order and stochastic optimization methods for machi ne learning.

Connecting randomized iterative methods with Krylov subspaces First-order and stochastic optimization methods for machi ne learning

Reference 32

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 234b70a9-9268-4dbe-9fe3-54d15024da91 · outbound

This paper cites Randomized method s for linear constraints: convergence rates and conditioning.

Connecting randomized iterative methods with Krylov subspaces Randomized method s for linear constraints: convergence rates and conditioning

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 9d7b1592-4255-4e78-80fb-d787df549d00 · outbound

This paper cites Numerical Mathe- matics and Scie, 2013.

Connecting randomized iterative methods with Krylov subspaces Numerical Mathe- matics and Scie, 2013

Reference 34

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b9979f03-94f1-40bd-bfb8-b239c22e7320 · outbound

This paper cites An accelerated randomized Kaczmarz algorithm.

Connecting randomized iterative methods with Krylov subspaces An accelerated randomized Kaczmarz algorithm

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 18a337f1-8abd-44d0-8b66-d5a83f524286 · outbound

This paper cites Subspace methods for nonlinear optimization.

Connecting randomized iterative methods with Krylov subspaces Subspace methods for nonlinear optimization

Reference 36

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raw_fallback, observed 2026-08-07T14:01:52.788987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:46.460770Z digest=sha256:97a40efe1d9be9d6f984d8bf79186ce0a1bf975bb1390adc581f63243365791a

Observation a9796e3a-8dec-4072-9960-1f4a5d71b554 · outbound

This paper cites Momentum and stoc hastic momentum for stochastic gradient, newton, proximal point and subspace descent methods.

Connecting randomized iterative methods with Krylov subspaces Momentum and stoc hastic momentum for stochastic gradient, newton, proximal point and subspace descent methods

Reference 37

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source=pdf_text observed=2026-08-07T14:01:46.566534Z digest=sha256:582785e61d78b6bae7fcbe04064ea0c25ddb6a537d5da34061c215a62906f79c

Observation 1d91a494-9533-4e88-b34a-c3c39b015705 · outbound

This paper cites Minimal error mom entum bregman-kaczmarz.

Connecting randomized iterative methods with Krylov subspaces Minimal error mom entum bregman-kaczmarz

Reference 38

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:52.547146Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:01:46.666661Z digest=sha256:3050373c36b23b94d4ed808e56e0704f50785d50e93492c6fd9013dcffdd1d88

Observation 2e697a71-b13a-4f10-bb94-c8cde4a16bd4 · outbound

This paper cites Randomized Kaczmarz for ten sor linear systems.

Connecting randomized iterative methods with Krylov subspaces Randomized Kaczmarz for ten sor linear systems

Reference 39

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source=pdf_text observed=2026-08-07T14:01:46.748140Z digest=sha256:3ae119137f412f1f5fee1e111a1408074d9a7e92f001d726dca0ba9ee3e5f030

Observation 50c45b3d-bb40-4c04-bced-af358cd6c01f · outbound

This paper cites Stochastic gradient descent for linear systems with missing data.

Connecting randomized iterative methods with Krylov subspaces Stochastic gradient descent for linear systems with missing data

Reference 40

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raw_fallback, observed 2026-08-07T14:01:52.369077Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:01:46.843668Z digest=sha256:4588a4e8e6ca5eca79d80247b5a02941be1c8e871ae908a90457b45140c8d236

Observation 166afa6a-06a3-4c72-8c7f-c61217fb3436 · outbound

This paper cites Randomized num erical linear algebra: Foundations and algorithms.

Connecting randomized iterative methods with Krylov subspaces Randomized num erical linear algebra: Foundations and algorithms

Reference 41

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:52.244373Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:01:46.917471Z digest=sha256:1d48d4e5ed1a9d1c8ca933af111007444fc6bfb5ed6282fde05d0dfc36d811b4

Observation 8e6eb56f-d8b9-45a1-9057-18574bae7dca · outbound

This paper cites LSRN: A parallel iterative solver for strongly over-or underdetermined systems.

Connecting randomized iterative methods with Krylov subspaces LSRN: A parallel iterative solver for strongly over-or underdetermined systems

Reference 42

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:52.128716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.017381Z digest=sha256:3c1d77f672c7bd96ae33fe49a709a5f9c2ba6176ffa79297eeecf95ba374d5c4

Observation d80e2458-4b6e-491d-bd80-de20c5305d3e · outbound

This paper cites Fast and accurate ran domized algorithms for linear systems and eigenvalue problems.

Connecting randomized iterative methods with Krylov subspaces Fast and accurate ran domized algorithms for linear systems and eigenvalue problems

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:52.014040Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T14:01:47.071533Z digest=sha256:ff689854fdc1af9e07ce6592890b201c5ef5269e9d65e7b0fb2e4dbaf8944f48

Observation ba187e12-5aae-4f83-95cf-cdd18705f552 · outbound

This paper cites Faster randomized block kaczmarz algorit hms.

Connecting randomized iterative methods with Krylov subspaces Faster randomized block kaczmarz algorit hms

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:51.904134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.147901Z digest=sha256:e22e6f5596b90c19cb5f69a73207c3ea6216d3038a1e0ab15abf9ab705d6f0e3

Observation a533d58d-2aee-4bc9-846a-6cbd746affdd · outbound

This paper cites Stocha stic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm.

Connecting randomized iterative methods with Krylov subspaces Stocha stic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:47.227342Z digest=sha256:42335d1c88e9aface2b753c5b017ad43abcff6dfa4c1085a9fa4097191c4fbd4

Observation 9a1c0e38-be87-40d4-b0ac-9f1fb0d0f328 · outbound

This paper cites Introductory lectures on convex optimization: A basic cour se, volume 87.

Connecting randomized iterative methods with Krylov subspaces Introductory lectures on convex optimization: A basic cour se, volume 87

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:51.761339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.293154Z digest=sha256:7258e3a6c6e3a1b5f8cacd2a55887124661699cc82846f7b32216dd13ffa50c8

Observation 6f5518e1-73a3-4e86-befc-b905e8bcbda3 · outbound

This paper cites A method for solving the convex programming problem with convergence rate O(1/k2).

Connecting randomized iterative methods with Krylov subspaces A method for solving the convex programming problem with convergence rate O(1/k2)

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:51.657429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.344851Z digest=sha256:e1597edff01a7881340e499efa7686442430f093ad620387376a8de6ec6d2015

Observation 8a61151f-21ad-4c6a-b9d3-a1a61bd52548 · outbound

This paper cites Numerical optimization.

Connecting randomized iterative methods with Krylov subspaces Numerical optimization

Reference 48

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:47.406981Z digest=sha256:30b601b09e6e21945418f5a1badd9ab060ce9661c2b7f8040548592315383709

Observation f7e8b898-2263-4b5c-acbe-6786f0c83625 · outbound

This paper cites Iterative hessia n sketch: Fast and accurate solution approxi- mation for constrained least-squares.

Connecting randomized iterative methods with Krylov subspaces Iterative hessia n sketch: Fast and accurate solution approxi- mation for constrained least-squares

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:51.537112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.468753Z digest=sha256:dc4c1ddbbfa30b3cfa90c652cd8b7e99bbef11096257de578d31aa96cd2fe3b2

Observation 25fbce1f-43f1-4ef7-8a23-1e17f8a8e260 · outbound

This paper cites Some methods of speeding up the converge nce of iteration methods.

Connecting randomized iterative methods with Krylov subspaces Some methods of speeding up the converge nce of iteration methods

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:51.389691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.577159Z digest=sha256:3609d7bb9860d05cc717010824e7f49d1dbbdf71df1fd86b01c9408c6871449b

Observation a7cc5cf9-2116-46e3-8399-fd3778a1c341 · outbound

This paper cites A statistical p erspective on randomized sketching for ordi- nary least-squares.

Connecting randomized iterative methods with Krylov subspaces A statistical p erspective on randomized sketching for ordi- nary least-squares

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:51.222556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.659765Z digest=sha256:62025a54518607ff19420abb3c483b73c1f07f4294643e73cc391f291a85541a

Observation ad5a1eaa-96a2-4c02-b8da-d0ec175c64bf · outbound

This paper cites Generalized gearhart-koshy accelera tion for the kaczmarz method.

Connecting randomized iterative methods with Krylov subspaces Generalized gearhart-koshy accelera tion for the kaczmarz method

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:51.098494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.738408Z digest=sha256:9d51d347f028265b3ebe459f9031378a62ed568e1f0bf40827e20f899014a161

Observation 8f8535d1-bfce-4656-9789-8d83a35b6c2a · outbound

This paper cites A stochastic approxi mation method.

Connecting randomized iterative methods with Krylov subspaces A stochastic approxi mation method

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:50.907903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:47.819855Z digest=sha256:5619f5210fd98df7a6105366647a5e631a9ed63e64e10cbad3d8f555c0b546fd

Observation 8d3253bd-915e-48fe-837a-5553e20c7ade · outbound

This paper cites Iterative methods for sparse linear systems.

Connecting randomized iterative methods with Krylov subspaces Iterative methods for sparse linear systems

Reference 54

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:47.893525Z digest=sha256:532defc278d36c4370d3de6313c15394feae48dde71af2e2807fbb203ffae84f

Observation fc5b2575-1446-470c-9763-d124dc098a5e · outbound

This paper cites Linear convergence o f the randomized sparse Kaczmarz method.

Connecting randomized iterative methods with Krylov subspaces Linear convergence o f the randomized sparse Kaczmarz method

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:47.977114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:47.977114Z digest=sha256:58250178bd9c40b431f44ddd7372711037fc350935078460b791c77065a138d5

Observation 95d5c7f2-ec14-4821-b94d-e3cdb3959327 · outbound

This paper cites A randomized Kacz marz algorithm with exponential conver- gence.

Connecting randomized iterative methods with Krylov subspaces A randomized Kacz marz algorithm with exponential conver- gence

Reference 56

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:48.057765Z digest=sha256:09e5340320556df390d7f4177139e6580b6fc012aa250a672f32e65817b5e526

Observation d82546b8-96a3-44ee-bb4d-1b90b96dc490 · outbound

This paper cites On greedy multi-step inertial randomized kaczmarz method for solving linear systems.

Connecting randomized iterative methods with Krylov subspaces On greedy multi-step inertial randomized kaczmarz method for solving linear systems

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:50.683093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.158502Z digest=sha256:2b9bc6abf1ac03346b34b5bfb9f1e1f793fb4862206b2b6e223a4a179d3d684f

Observation 5081b99f-734c-4685-b37d-4174860ad141 · outbound

This paper cites Gearhart–Koshy acceleration for affine su bspaces.

Connecting randomized iterative methods with Krylov subspaces Gearhart–Koshy acceleration for affine su bspaces

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:50.517514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.253975Z digest=sha256:07995e5cacfbc4d3544e42bf82729ecc4a124084ccae0858342fb6f3a782efe4

Observation 1854ffdb-ada1-4b9a-a3ee-5a915a465d72 · outbound

This paper cites Phase retrieval via randomized Kaczmarz: theoretical guarantees.

Connecting randomized iterative methods with Krylov subspaces Phase retrieval via randomized Kaczmarz: theoretical guarantees

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:48.341214Z digest=sha256:54df1913c4fe9e55dfd2b68449e7b7e9c8e80f44df42df1abcf9cf6d617bf02e

Observation 6052985c-41dc-4f31-a7e6-66c9becff3f7 · outbound

This paper cites Improved analysis of the subsampled randomized hadamard transform.

Connecting randomized iterative methods with Krylov subspaces Improved analysis of the subsampled randomized hadamard transform

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:50.366224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.418770Z digest=sha256:a285a3471b5156ab42de06a712103cd2d679c5e1bb532d92f3b83423cf26193f

Observation 12caf9eb-236a-40eb-8dc4-bf4b63dad8a5 · outbound

This paper cites A fast randomized algorithm for the approximation of matrices.

Connecting randomized iterative methods with Krylov subspaces A fast randomized algorithm for the approximation of matrices

Reference 61

Resolution
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raw_fallback, observed 2026-08-07T14:01:50.219579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.503837Z digest=sha256:6bde1cc37ee8cdbd360882ff778888c96c999dcc219f22994eac07896e6f5a6c

Observation 80898be7-809e-472e-bf35-4b43007b343e · outbound

This paper cites Randomized block Kaczmarz with volume sampling: Momentum acceleration and efficient implementation.

Connecting randomized iterative methods with Krylov subspaces Randomized block Kaczmarz with volume sampling: Momentum acceleration and efficient implementation

Reference 62

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no resolver link, observed 2026-08-07T14:01:48.576147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:48.576147Z digest=sha256:1dc88756a747e434e5904de215f8abb6eaf898bec36ca0cec90a3152e3afa3bd

Observation 0e71c330-3823-43c9-aba0-0e007aa03e80 · outbound

This paper cites Randomized iterative methods for generalized absolute value equations: Solvability and error bounds.

Connecting randomized iterative methods with Krylov subspaces Randomized iterative methods for generalized absolute value equations: Solvability and error bounds

Reference 63

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no resolver link, observed 2026-08-07T14:01:48.661686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:48.661686Z digest=sha256:c702a5388e0268c207697e2a31915e303c96e8e21731eee266ffcd25c559f349

Observation f61919d0-c176-4db9-ac58-349f2c7321b7 · outbound

This paper cites A review on subspace methods for nonline ar optimization.

Connecting randomized iterative methods with Krylov subspaces A review on subspace methods for nonline ar optimization

Reference 64

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:50.085432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.700120Z digest=sha256:551dfee9ff794a0f24d795cd4eeeeee0b5446bfe86aff2eb3c3c3b350b933ed5

Observation 84f7f156-e26c-406b-a368-83145f624da9 · outbound

This paper cites Ada ptively sketched Bregman projection methods for linear systems.

Connecting randomized iterative methods with Krylov subspaces Ada ptively sketched Bregman projection methods for linear systems

Reference 65

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no resolver link, observed 2026-08-07T14:01:48.743832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:48.743832Z digest=sha256:342615e79c67241f1b94b46dda69f1495a7fa2c1c7528ebeb0e34dd2667b4ec1

Observation 2a196283-7eb2-4840-b645-d45e107e5695 · outbound

This paper cites Random ized Kaczmarz method with adaptive stepsizes for inconsistent linear systems.

Connecting randomized iterative methods with Krylov subspaces Random ized Kaczmarz method with adaptive stepsizes for inconsistent linear systems

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:01:49.947356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.791405Z digest=sha256:26df0600e4820dbf01850a03cc1932b1d5df5d37c288384cdd2d1f5eae70de4e

Observation 27018d11-f9fd-4c1b-8e5b-ffe724bb0ab6 · outbound

This paper cites On adap tive stochastic heavy ball momentum for solving linear systems.

Connecting randomized iterative methods with Krylov subspaces On adap tive stochastic heavy ball momentum for solving linear systems

Reference 67

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no resolver link, observed 2026-08-07T14:01:48.841257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:48.841257Z digest=sha256:318637c13c0a67ae8047f0a115b5e0aff67092579bd4aac90dfb42018ca11e2b

Observation cb2677fc-a7f3-4ec6-886c-c3dace9bb93e · outbound

This paper cites Proof of the main results 7.1.

Connecting randomized iterative methods with Krylov subspaces Proof of the main results 7.1

Reference 68

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:49.767536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.920758Z digest=sha256:38f98e3812d28736b0f03b29d9bcd5c36f03a66488aac10dbb45e8f56c54663d

Observation 5bdbb3a2-5326-461b-8d24-5c62183afa83 · outbound

This paper cites By the arbitrariness of x, we conclude Kk+1(A⊤A, A⊤r0) ⊆ Hk.

Connecting randomized iterative methods with Krylov subspaces By the arbitrariness of x, we conclude Kk+1(A⊤A, A⊤r0) ⊆ Hk

Reference 69

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:49.656108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:48.990824Z digest=sha256:f9e3acb78ee0d565cd357067f0d3d3fc14e249731bb51243918930cc53b5762c

Observation fa1b59ae-17bb-42ff-b6a5-e91e079f5cc1 · outbound

This paper cites □ Proof of Proposition 4.4.

Connecting randomized iterative methods with Krylov subspaces □ Proof of Proposition 4.4

Reference 70

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verified fuzzy
raw_fallback, observed 2026-08-07T14:01:49.496100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T14:01:49.046042Z digest=sha256:2f84868c1e16c08c1cdb14d7b5529e5b5090b80331ac841c9054ca7242372006

Pith citing papers

Observation 1cbd26f1-3d0c-4f33-8adf-cddefcfea7a3 · inbound

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum cites this paper.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Connecting randomized iterative methods with Krylov subspaces

Reference 33

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no resolver link, observed 2026-08-07T04:43:07.646135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:43:07.646135Z digest=sha256:2847a9fc6e7591970a441a237b9580d76145377e0e5a70cd601ebf5638c844d8

Observation adaca877-d773-4d66-83af-553cb4d5b9d2 · inbound

Linear convergence of Gearhart-Koshy accelerated Kaczmarz methods for tensor linear systems cites this paper.

Linear convergence of Gearhart-Koshy accelerated Kaczmarz methods for tensor linear systems Connecting randomized iterative methods with Krylov subspaces

Reference 48

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arxiv_id, observed 2026-05-11T00:05:50.280476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:42:25.397379Z digest=sha256:fffa765ef149dfc589de9ad4e651ea65c6ab8832fed058d88d8b349cec3ba291

Observation ede75ea4-3e85-4c1c-8966-6c51faf4587d · inbound

Randomized conjugate gradient least squares cites this paper.

Randomized conjugate gradient least squares Connecting randomized iterative methods with Krylov subspaces

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:54:03.388261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T23:49:53.122613Z digest=sha256:775cb32b117d825fbd240ce79882616c4e6b6e01c4de6f04440e8d91535cb69c

Observation 2cbb8c56-4a4c-4315-9647-c0dbb74a0c38 · inbound

On subspace-constrained preconditioning for randomized iterative methods cites this paper.

On subspace-constrained preconditioning for randomized iterative methods Connecting randomized iterative methods with Krylov subspaces

Reference 72

Resolution
verified exact
arxiv_id, observed 2026-06-29T06:23:08.766148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T06:21:37.788799Z digest=sha256:c0ee7d9da0b6a16483094dad91f7e7ced21d9767f71adc61c9220caa581d7e6b