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Paper Citation Record · LEDGER

Randomized Kaczmarz Methods with Beyond-Krylov Convergence

As of 22 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 3 inbound Pith citation observations for arXiv:2501.11673.

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

pith.paper-citation-record.v1
2501.11673 v2

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:13:04.156488Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:14:09.374465Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T07:35:57.140507Z

Reference resolution

50 of 50 outbound references displayed

  • verified exact1
  • verified fuzzy41
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2d912dc6-fbc9-47dd-b6cf-0516c1d6ae78 · outbound

This paper cites The fast J ohnson-- L indenstrauss transform and approximate nearest neighbors.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence The fast J ohnson-- L indenstrauss transform and approximate nearest neighbors

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.264760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.829804Z digest=sha256:28713a20942d054a4e8c4788cb50a4273d0987a22fe49386d8a78b690aba11aa

Observation 656612f4-270a-45d0-b587-2d280cacc020 · outbound

This paper cites Faster kernel ridge regression using sketching and preconditioning.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Faster kernel ridge regression using sketching and preconditioning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.247521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.836133Z digest=sha256:e957a9cfba5e65837515da25a294374f046b1c1ea877ea4c752601f7617ff332

Observation b2f11d67-11d7-47c8-a1b1-c9d6fe4b7ce5 · outbound

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

Randomized Kaczmarz Methods with Beyond-Krylov Convergence On the rate of convergence of the preconditioned conjugate gradient method

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.228431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.842755Z digest=sha256:f1bfd00458309e3a9d33757de8fcf1dc8f39289f976193faa9eecac80d78e240

Observation 2988bdfa-ded5-470e-928d-b483765c8932 · outbound

This paper cites Randomized kaczmarz with geometrically smoothed momentum.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized kaczmarz with geometrically smoothed momentum

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.209925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.850220Z digest=sha256:40c387d1951002d3c2f938029b04992e3012cf1fe54fc5eb68d0c2cfb4f8b85d

Observation 82b03d09-eb5f-48cb-a455-ddd90ad60d8a · outbound

This paper cites Fast randomized kernel ridge regression with statistical guarantees.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Fast randomized kernel ridge regression with statistical guarantees

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.191126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.856789Z digest=sha256:ec6bda1953a5178a6609e0f2e30382d7d2eafe88099a6ec134dbf386e46c64c8

Observation 5b75e688-4a3d-4493-aa2e-1e899170aa41 · outbound

This paper cites Blendenpik: Supercharging lapack's least-squares solver.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Blendenpik: Supercharging lapack's least-squares solver

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.170114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.863593Z digest=sha256:e68dfe4983add7e78a81c7ae322ff56b35df4c6be09492f50b69ea9852c1fb8f

Observation db24f372-af7e-490e-a016-12bbc83af6e1 · outbound

This paper cites Olson, Jacob Schroder, and Ben Southworth.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Olson, Jacob Schroder, and Ben Southworth

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.150642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.870494Z digest=sha256:1369bf26e5dc6062f47ccba077a25d0d0c30af21c736db4b95929aa94234dfc2

Observation d7ec0f61-0e33-4b68-b3a0-a730910e288a · outbound

This paper cites Optimal embedding dimension for sparse subspace embeddings.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Optimal embedding dimension for sparse subspace embeddings

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.131273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.876476Z digest=sha256:5223951d3e984d1959931f702276b331d28a98fc3d8eedd2c832df8c97837280

Observation 729860c5-23cd-445f-b309-398137b2fdd0 · outbound

This paper cites Low rank approximation and regression in input sparsity time.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Low rank approximation and regression in input sparsity time

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.112423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.883899Z digest=sha256:520c16b39be4433dc638b6ac7416e98aec555d49ae06d449984bca5b887f790a

Observation 8f9ddc3e-5f5c-478c-a3bd-6e947686dfd2 · outbound

This paper cites Improved guarantees and a multiple-descent curve for column subset selection and the N ystr\" o m method.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Improved guarantees and a multiple-descent curve for column subset selection and the N ystr\" o m method

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.091318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.889021Z digest=sha256:d235a32043d281a6c8532c97cc0f672fadcf8af6a6c98444763dd7799fb098e2

Observation 96d08b06-07b8-4608-9bdf-3c0077f54a91 · outbound

This paper cites Bayesian experimental design using regularized determinantal point processes.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Bayesian experimental design using regularized determinantal point processes

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.070983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.895024Z digest=sha256:3a71aee81699f3d28a9d688f66140f71b8f045cec88fd28d9473f25a764dd7f0

Observation 5af5f014-03ca-4ffb-a3fe-d1ef6032132e · outbound

This paper cites Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T18:13:03.901027Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:13:03.901027Z digest=sha256:62bbc2ec77cd3c4d70ef4c76874da86abfe712d7325d30026b314f979621edb0

Observation e63d72c3-5643-416e-ad7e-74ae40a341bc · outbound

This paper cites Rand NLA : randomized numerical linear algebra.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Rand NLA : randomized numerical linear algebra

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.048965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.907579Z digest=sha256:aa73429ceb43b8f3301847d98dadfb447c0b153b823fea07974a9be50d2cc8fb

Observation ed5bd3c4-4173-42b8-9501-febbd8611b80 · outbound

This paper cites Determinantal point processes in randomized numerical linear algebra.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Determinantal point processes in randomized numerical linear algebra

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:05.025256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.915215Z digest=sha256:56d15d624ddf82d4edd1feedac178cee55b146ef8e7856f2fb1180b0cf49ac45

Observation f6579840-efdb-4be9-9f98-9f5633c64566 · outbound

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

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Recent and upcoming developments in randomized numerical linear algebra for machine learning

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.999376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.920794Z digest=sha256:cff4c1c9daefb7e9c9c773459cacfdc004210ef2b25b4e6997299eaa6db4e244

Observation 4545d14e-ce66-420f-865e-d74e6f6be85c · outbound

This paper cites Sharp analysis of sketch-and-project methods via a connection to randomized singular value decomposition.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Sharp analysis of sketch-and-project methods via a connection to randomized singular value decomposition

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.979191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.927011Z digest=sha256:6dbbb15f96907ad399b3368d4bdead21b69fabc2eca095808b4e7e696c42c04d

Observation 1f2e5c29-bd68-467c-8a7b-ada8a926d182 · outbound

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

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Solving dense linear systems faster than via preconditioning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.957749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.932800Z digest=sha256:1b4d49bf5200e9671c5da00e010b020c57296bf34848386195e98e395aefbbdb

Observation c0507658-a8c8-4bd3-9e9a-f6c257094412 · outbound

This paper cites Randomized Kaczmarz with tail averaging.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized Kaczmarz with tail averaging

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T18:13:03.939121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:13:03.939121Z digest=sha256:e29eb4bf7eb3ee6e82d0a69c881e720f8592043c0eecb215490ec7b96dd4a59c

Observation b33e3bb4-feb4-436c-84cb-ad3d62d5815c · outbound

This paper cites Iterative algorithms for large partitioned linear systems, with applications to image reconstruction.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Iterative algorithms for large partitioned linear systems, with applications to image reconstruction

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.938284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.945276Z digest=sha256:2aa5191f211fab20c8b52eb6827a2c1a2a8b780258174579771b4dcf315d9a6c

Observation a8b555ac-1062-4997-b92b-d4731a0e22fd · outbound

This paper cites Block-iterative methods for consistent and inconsistent linear equations.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Block-iterative methods for consistent and inconsistent linear equations

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.919332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.953099Z digest=sha256:255e7853641d68d7c3de47cfa35fb957d30bad83e9e146c2ac5000b1ed3c4e3b

Observation c9ad0028-cb6e-45b7-b0fd-168263376edc · outbound

This paper cites New variants of the pocs method using affine subspaces of finite codimension with applications to irregular sampling.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence New variants of the pocs method using affine subspaces of finite codimension with applications to irregular sampling

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.900004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.960383Z digest=sha256:77ffc395927f3d0c8d9a7a10cc547fb67ac9dfb0d36adabd74dc227b32be2045

Observation 1bfb0eb2-7f88-4fd8-a264-664638438db2 · outbound

This paper cites Randomized N ystr \"o m preconditioning.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized N ystr \"o m preconditioning

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.877971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.965706Z digest=sha256:ea1608c1b990ac63e09ffe117d1b0f952e47b663b0b1359c2ad9efc26bf93dee

Observation 631a68c5-f2d6-495e-a117-5d897761367f · outbound

This paper cites Accelerated stochastic matrix inversion: general theory and speeding up BFGS rules for faster second-order optimization.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Accelerated stochastic matrix inversion: general theory and speeding up BFGS rules for faster second-order optimization

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.854344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.971965Z digest=sha256:dff8980f64822f3db4bd25ace5b8dd2c2c92b04b2bd9bd9a78621d2ef6513c4b

Observation 219f1fe6-5810-4894-81dc-0547da136506 · outbound

This paper cites Randomized iterative methods for linear systems.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized iterative methods for linear systems

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.835916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.978496Z digest=sha256:05e9d7d76f37ac05d6b233d7fd296148718a471e9b6d459ea0b185f35998df68

Observation d36c0456-50c5-4bfe-9854-997b7cb73f59 · outbound

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

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Algebraic reconstruction techniques can be made computationally efficient (positron emission tomography application)

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.806340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.985366Z digest=sha256:7b4db8cbeb3c6b71626072e16952197e7bc16c5463f4857d70412cab5d43e419

Observation c4203a5b-069c-4e88-a6ec-638d4d60b7be · outbound

This paper cites Rows versus columns: Randomized kaczmarz or gauss-seidel for ridge regression.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Rows versus columns: Randomized kaczmarz or gauss-seidel for ridge regression

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.785538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.992250Z digest=sha256:fb9c05a43cf9e9d11aaed479024fbc54984874df8a05efdde79094779d41cb3e

Observation 6593062f-e84e-45f0-aa28-59292fe7f713 · outbound

This paper cites Methods of conjugate gradients for solving linear systems , volume 49.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Methods of conjugate gradients for solving linear systems , volume 49

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.764714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:03.999898Z digest=sha256:47135da9dfcb611acded60bd3017f39c26670af0a7096a3dbde7e37d1cf9ee2f

Observation 897cc778-5398-48c2-b6b5-05accea7c6a7 · outbound

This paper cites aherte aufl\.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence aherte aufl\

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.738707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.010187Z digest=sha256:e8e1a7b4f9702bd8be8dd423701e4ee850fba97408b699d7cdc49f4cd406a84c

Observation e5eb123b-893f-40d2-87be-97e224765306 · outbound

This paper cites A subspace constrained randomized K aczmarz method for structure or external knowledge exploitation.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence A subspace constrained randomized K aczmarz method for structure or external knowledge exploitation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.710544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.015764Z digest=sha256:f7b4b03e9be8421ea1dc59dc213f446eaa455c586612d19a6a9900698cc2cd9c

Observation 41f3dc22-a921-4523-ab3b-27dcb038e6a6 · outbound

This paper cites Randomized algorithms for Tikhonov regularization in linear least squares.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized algorithms for Tikhonov regularization in linear least squares

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-10T18:13:04.219649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.021999Z digest=sha256:ea037e5908d4753f5447e01aafb82b52aa7890ced83e0a97e10cf56cf2274414

Observation ad646df7-a54d-4f0f-8988-46bf5c614af7 · outbound

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

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Lsrn: A parallel iterative solver for strongly over-or underdetermined systems

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.682344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.027855Z digest=sha256:0b6fe9fee76f8e1c1ac3f518e7d825b91e42054c87172766fe06c123248cdff3

Observation 2994ea01-3a40-4278-a871-e29693c890d6 · outbound

This paper cites Randomized numerical linear algebra: Foundations and algorithms.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized numerical linear algebra: Foundations and algorithms

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.657152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.033443Z digest=sha256:2a869ffda9e2fb21f96aa5e94239f1f486d60a91ed42d6c6b1a3e2d7031a5d51

Observation 6a0d7cee-1721-401a-9034-c3bebd732bd3 · outbound

This paper cites The mathematics of computerized tomography.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence The mathematics of computerized tomography

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.632957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.041261Z digest=sha256:089322972888815d6ba0303285a7479dc1022945e5a075e6ff549f876d203024

Observation 9ee0d398-f22b-4aa6-a6d9-d7f49167974e · outbound

This paper cites Hessian averaging in stochastic newton methods achieves superlinear convergence.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Hessian averaging in stochastic newton methods achieves superlinear convergence

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.609399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.056731Z digest=sha256:6707ad6ebbea9728091e7f1106bef3dfd8f61d2ebda7c6fa944a716b4b1e57cd

Observation 2eaabfd8-794a-496c-85f5-d052ce8dd472 · outbound

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

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Introductory lectures on convex optimization: A basic course , volume 87

Reference 35

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unresolved
no resolver link, observed 2026-08-10T18:13:04.063394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:13:04.063394Z digest=sha256:a61c0ea41cdfaa33aad1a6ad59f5fb06390af54981a9ae979fa9dc39fbf332bd

Observation 90894caf-f342-4180-b8f9-d178a457c6bb · outbound

This paper cites Paved with good intentions: analysis of a randomized block K aczmarz method.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Paved with good intentions: analysis of a randomized block K aczmarz method

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.570566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.069564Z digest=sha256:1a23f5a286b3dfb32f7973c0ea74cc318a01c01e6321503f1c029d6d312eadd4

Observation c2ac0175-ff89-4c08-8241-84d849163a5e · outbound

This paper cites Numerical optimization.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Numerical optimization

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T18:13:04.075916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:13:04.075916Z digest=sha256:42de32ea0b7ec949d1f36e796f3ef8bd8c24344dae4c46221fe0ccd7ed0af304

Observation 4965645c-ad6c-4c86-8c3e-8d2165835c42 · outbound

This paper cites Stochastic gradient descent, weighted sampling, and the randomized K aczmarz algorithm.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Stochastic gradient descent, weighted sampling, and the randomized K aczmarz algorithm

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.532196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.082694Z digest=sha256:84f5d5a2aed0b97cc48983d527d5f77e3b25cc2a6c966fed76aeb573e558b484

Observation 1e0208f5-a5de-4002-910b-6f5621f36037 · outbound

This paper cites Randomized sparse block kaczmarz as randomized dual block-coordinate descent.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized sparse block kaczmarz as randomized dual block-coordinate descent

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.507787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.088824Z digest=sha256:82ebe8e8700a99b48129d853d5ce78027f878b21f6a882fcb18fde8aadeb12e2

Observation f888a952-b930-4028-8f35-0b68c7e8d806 · outbound

This paper cites Randomized block adaptive linear system solvers.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Randomized block adaptive linear system solvers

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.486049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.094603Z digest=sha256:3018a8da6f4ef032770a1b9c2d842d2fd62de12571929d50c62ec43cad2a8f1b

Observation 8c695dc3-cf08-4a0c-b2a0-579181c80ec3 · outbound

This paper cites LSQR : An algorithm for sparse linear equations and sparse least squares.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence LSQR : An algorithm for sparse linear equations and sparse least squares

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.465886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.101165Z digest=sha256:cadd5094be162c2c7cc6b0f37360682cad52e7ac22fa272603f4a8b2c53bd885

Observation 7db6c14e-7c1d-4ce8-a626-a7292ff1397d · outbound

This paper cites Pedregosa, G.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Pedregosa, G

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T18:13:04.107399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:13:04.107399Z digest=sha256:4770e3f7d22d93704a24f3cffb750ab07d972e07cefacd200e66eb54978557d0

Observation 14aad189-2288-484d-8874-cc016b920b71 · outbound

This paper cites On block G aussian sketching for the K aczmarz method.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence On block G aussian sketching for the K aczmarz method

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.429209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.113405Z digest=sha256:5789f065b97b4aa5778828cc688e13ec0f436c6c715a3287a1ad77570b0e0da8

Observation 37435fe3-e68d-482f-9f4d-c756cffd2eb2 · outbound

This paper cites an unresolved cited work.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:13:04.407469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.119859Z digest=sha256:06c03361de762ecb042180ec424393f7cd353c36983da99a19e8dc2fd34e86e3

Observation e694b63c-b5d8-4cc5-a2bc-1f3d968a9164 · outbound

This paper cites GMRES : A generalized minimal residual algorithm for solving nonsymmetric linear systems.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence GMRES : A generalized minimal residual algorithm for solving nonsymmetric linear systems

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.381330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.125973Z digest=sha256:27ad2b1f2561a608f167adaf2919f346231a3e41ffc687b411ae228f52b7369c

Observation 797e7470-5e99-463e-9bd5-dc2ab1beca27 · outbound

This paper cites Strohmer and R.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Strohmer and R

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.355760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.132665Z digest=sha256:6bf38d854605da98767a04b1c52044b9b2f650195f0dc8121ecbda9ad10a0153

Observation 659560c5-5f19-4e68-bbfd-f09cf998e92f · outbound

This paper cites Improved analysis of the subsampled randomized H adamard transform.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Improved analysis of the subsampled randomized H adamard transform

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.334175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.139385Z digest=sha256:3fc9f211c4609325fd9cbb7b7ad1d8bfb4146f97f36dbdec93ba32995d2b5c21

Observation 5aa17a02-5495-4881-bf78-07d867347b7a · outbound

This paper cites an unresolved cited work.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T18:13:04.315801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.144972Z digest=sha256:f51e7d4eb997e8fba5a42db9565c25719c6135728f219cbb890e6dabb3901ded

Observation 32235a62-8e3d-47dd-a56a-320f2307b3ce · outbound

This paper cites Scipy 1.0: fundamental algorithms for scientific computing in python.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence Scipy 1.0: fundamental algorithms for scientific computing in python

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T18:13:04.150832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T18:13:04.150832Z digest=sha256:ef36804bc785570932769a48f523e8854fb99f155683ae172cfcecfa0aef9042

Observation 74285e2e-bb60-48b2-b634-89378875128b · outbound

This paper cites van Rijn, Bernd Bischl, and Luis Torgo.

Randomized Kaczmarz Methods with Beyond-Krylov Convergence van Rijn, Bernd Bischl, and Luis Torgo

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T18:13:04.283884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T18:13:04.156488Z digest=sha256:8aad434a8a7d438fb7b47b8be80adeac3e191b590bb3242cde83ab1d8f40740e

Pith citing papers

Observation 0253e6df-d79a-4172-b0a0-81aea3809f53 · inbound

Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure cites this paper.

Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Randomized Kaczmarz Methods with Beyond-Krylov Convergence

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T17:14:09.374465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:14:09.374465Z digest=sha256:8d44d9097eff1ebfb08692c3cdb8ac885982c6b74e451d524f123dcc42fccba8

Observation 91546ce5-0fef-46f0-9642-ad475273b6c7 · inbound

A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms cites this paper.

A Sketch-and-Project Analysis of Subsampled Natural Gradient Algorithms Randomized Kaczmarz Methods with Beyond-Krylov Convergence

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T14:49:00.238671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T14:49:00.238671Z digest=sha256:b3d08ef01a22bd567aa71f5cb81ff18598aeee469e67b4b51c0e19193ac7be1e

Observation 21efe7cb-f4af-475b-9cac-bc243d457e4f · inbound

From Recency Bias to Stable Convergence Block Kaczmarz Methods for Online Preference Learning in Matchmaking Applications cites this paper.

From Recency Bias to Stable Convergence Block Kaczmarz Methods for Online Preference Learning in Matchmaking Applications Randomized Kaczmarz Methods with Beyond-Krylov Convergence

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:35:57.145008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T17:07:35.142351Z digest=sha256:8867aa3d267c2ecfd5db8e589366f7e206b86a4807b81562b41e190320ab452a