Paper Citation Record · LEDGER

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum

As of 22 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2506.10261.

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

pith.paper-citation-record.v1
2506.10261 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:43:07.675774Z

measured 44 of 44 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T06:21:37.788799Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T06:23:08.767944Z

Reference resolution

43 of 43 outbound references displayed

verified exact2
verified fuzzy38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afce8014-6735-464d-bd90-13e3dd12c5c9 · outbound

This paper cites Mon te Carlo Markov chain algorithms for sampling strongly Rayleigh distributions and determinantal point processes.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Mon te Carlo Markov chain algorithms for sampling strongly Rayleigh distributions and determinantal point processes

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.094005Z

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Observation 06f860d7-0b8d-4d45-bb10-ff161d5d3bcd · outbound

This paper cites Recent results on Douglas- Rachford methods for combinatorial optimization problems.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Recent results on Douglas- Rachford methods for combinatorial optimization problems

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.084810Z

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Observation a9fbb0e4-5d26-4726-b37b-ccc3aa5a322f · outbound

This paper cites Pattern recognition and machine learning.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Pattern recognition and machine learning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.075176Z

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Observation b994d8ce-8af0-44f0-baa7-a55ffb2f175e · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Introduction to applied linear algebra: vectors, matrices , and least squares

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.066057Z

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Observation 9de3aa4c-ae98-43cd-ab40-df839e9a606b · outbound

This paper cites Regularized Kaczmarz algorith ms for tensor recovery.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Regularized Kaczmarz algorith ms for tensor recovery

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.056762Z

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.

Observation 13cac4ce-592d-4a42-bb67-80ff2ef9580e · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Solving dense linear systems faster than via preconditioning

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.046287Z

Source-reported events for the cited work

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Observation c054a335-5a26-4dd8-aad2-2dd4a661b6b5 · outbound

This paper cites On the Dougla s-Rachford splitting method and the proxi- mal point algorithm for maximal monotone operators.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum On the Dougla s-Rachford splitting method and the proxi- mal point algorithm for maximal monotone operators

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.036995Z

Source-reported events for the cited work

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Observation 39b11811-3246-4057-b90b-ca42b7f167f6 · outbound

This paper cites New variants of the POCS method using aﬃne subspaces of ﬁnite codimension with a pplications to irregular sampling.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum New variants of the POCS method using aﬃne subspaces of ﬁnite codimension with a pplications to irregular sampling

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.028116Z

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.

Observation 5fdb188f-af4c-4764-bd68-e21a63cd9879 · outbound

This paper cites Rid geSketch: a fast sketching based solver for large scale ridge regression.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Rid geSketch: a fast sketching based solver for large scale ridge regression

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.018552Z

Source-reported events for the cited work

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Observation ff96fd84-6dd4-4c49-afec-ed016ef0abe3 · outbound

This paper cites Matrix computations.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Matrix computations

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.009753Z

Source-reported events for the cited work

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Observation eee9b83a-6701-41cb-a716-19e4af7236c6 · outbound

This paper cites Gower and Peter Richt´ arik.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Gower and Peter Richt´ arik

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:08.000776Z

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.

Observation d3d17781-e9c3-47e7-8d29-758c4da46b33 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Randomized Doug las–Rachford methods for linear systems: Improved accuracy and eﬃciency

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.991567Z

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.

Observation 8cbf10de-5f8f-4736-8005-5ece21d6343f · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum The elements of statistical learning: data mining, inference, and prediction, 2009

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.982663Z

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.

Observation 1c4fb42d-f964-47a7-84ad-d506fb5760f7 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Rows v ersus columns: Randomized Kaczmarz or Gauss–Seidel for ridge regression

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.973712Z

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.

Observation 13d029b0-b99b-407d-ba42-7d5642700201 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Algebraic reconstruction techniques can be made computation- ally eﬃcient (positron emission tomography application)

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.965538Z

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.

Observation 13cfd0a3-d5b8-4d89-9007-57340f4da00e · outbound

This paper cites Randomized K aczmarz in adversarial distributed setting.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Randomized K aczmarz in adversarial distributed setting

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.956756Z

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.

Observation 1f8d0018-ccfc-495d-818d-7268747de7d3 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Linear convergence of randomized Kaczmarz method for solving complex- valued phaseless equations

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.948330Z

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.

Observation b208e336-3ebd-41c6-9fed-38ecad670182 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Linear Convergence of Reshuffling Kaczmarz Methods With Sparse Constraints

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:43:07.745812Z

Source-reported events for the cited work

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Observation cf3befc6-6229-45ab-851c-5ebfbb61a7f8 · outbound

This paper cites Angenaherte auﬂosung von systemen l inearer glei-chungen.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Angenaherte auﬂosung von systemen l inearer glei-chungen

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.939887Z

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.

Observation 91178582-e9b6-4d3b-87b4-8799060453c1 · outbound

This paper cites The suitesparse matrix collection website interface.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum The suitesparse matrix collection website interface

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.931383Z

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.

Observation f9bb2a91-91d3-4d22-bc2e-3cae2a30774a · outbound

This paper cites Determinantal point proce sses for machine learning.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Determinantal point proce sses for machine learning

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.922796Z

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.

Observation 316937e1-8dd7-413f-b9fd-fad217f05665 · outbound

This paper cites Douglas-Rachford splittin g for nonconvex optimization with application to nonconvex feasibility problems.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Douglas-Rachford splittin g for nonconvex optimization with application to nonconvex feasibility problems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.914564Z

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.

Observation 90f92e4f-a320-437c-b1b9-9a53be613465 · outbound

This paper cites Survey: sixty years of Douglas–Rachford.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Survey: sixty years of Douglas–Rachford

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.906105Z

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.

Observation b0782940-4f68-4df8-974f-da901f06965a · outbound

This paper cites Randomized Kaczmarz for ten sor linear systems.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Randomized Kaczmarz for ten sor linear systems

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.897829Z

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.

Observation 1346d348-d9cb-4982-b055-cba1d8007e4b · outbound

This paper cites The coincidence approach to stochastic p oint processes.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum The coincidence approach to stochastic p oint processes

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.888827Z

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.

Observation 5b2c63d2-02b8-45d4-a466-04c58d83c0ec · outbound

This paper cites The mathematics of computerized tomography.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum The mathematics of computerized tomography

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.879994Z

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.

Observation 622955c6-1c24-4ee5-aa92-531d292c17c3 · outbound

This paper cites Faster randomized block Kaczmarz algorit hms.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Faster randomized block Kaczmarz algorit hms

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.871778Z

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.

Observation e2f1492d-e4c7-487e-8242-aaf0876ef546 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Stocha stic gradient descent, weighted sampling, and the randomized Kaczmarz algorithm

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.862882Z

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.

Observation 4b9f25e4-4230-4301-bda8-fdadeb587a38 · outbound

This paper cites Some methods of speeding up the convergence of iteration methods.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Some methods of speeding up the convergence of iteration methods

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.853002Z

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.

Observation 6615bf01-60cd-4d62-85c6-b72643caaf2e · outbound

This paper cites A randomized coor dinate descent method with volume sam- pling.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum A randomized coor dinate descent method with volume sam- pling

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.843669Z

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.

Observation df066526-d04c-41ab-9f51-525764eb831f · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Linear convergence o f the randomized sparse Kaczmarz method

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.834542Z

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.

Observation 2cf329fe-18b8-4979-8a40-fd5b747e06aa · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum A randomized Kacz marz algorithm with exponential conver- gence

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.825377Z

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.

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

This paper cites Connecting randomized iterative methods with Krylov subspaces.

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

Reference 33

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Source-reported events for the cited work

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Observation 7f447ec3-de2d-44ee-9eb3-e087e57414ef · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Phase retrieval via randomized Kaczmarz: theoretical guarantees

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.816115Z

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.

Observation bc7fa35f-c07b-4d10-8b99-22abb1bd0500 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Randomized block Kaczmarz with volume sampling: Momentum acceleration and efficient implementation

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T04:43:07.651862Z

Source-reported events for the cited work

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Observation 5cefc1d4-4f0f-4568-9d5a-2d6661a96f24 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Randomized iterative methods for generalized absolute value equations: Solvability and error bounds

Reference 36

Resolution: verified exact; local_arxiv, observed 2026-08-07T04:43:07.711148Z

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.

Observation 3460ac0a-e272-4d2f-83dc-0cd366ab6559 · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Ada ptively sketched Bregman projection methods for linear systems

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.807335Z

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.

Observation 968d08ae-422c-427b-ae74-5c2ffc63758d · outbound

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

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum On adap tive stochastic heavy ball momentum for solving linear systems

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T04:43:07.661147Z

Source-reported events for the cited work

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Observation f82b480d-0681-4bf9-9dfd-cfd3ba20bd6b · outbound

This paper cites Proof of the main results 7.1.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Proof of the main results 7.1

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.791531Z

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.

Observation 831d1cdc-3f76-496c-9a3f-436cb373627d · outbound

This paper cites □ Lemma 7.2 ( [ 12], Lemma A.2).

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum □ Lemma 7.2 ( [ 12], Lemma A.2)

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.782273Z

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.

Observation 13f966f4-235e-44e9-9d72-51197c7a005a · outbound

This paper cites Taking the expectation over the entire history yields the de sired linear convergence result.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Taking the expectation over the entire history yields the de sired linear convergence result

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.773288Z

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.

Observation e45b9111-05d5-4f53-a275-2b239969c27f · outbound

This paper cites Consequently, we have uk = vk = 0, which implies zk = xk, contradicting the assumption zk ⁄= xk.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum Consequently, we have uk = vk = 0, which implies zk = xk, contradicting the assumption zk ⁄= xk

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.763814Z

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.

Observation dc6b1a34-3c57-4ca7-a962-3f2c15a8439b · outbound

This paper cites □ Beihang University, Beijing, 100191, China.

Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum □ Beihang University, Beijing, 100191, China

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T04:43:07.755023Z

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.

Pith citing papers

Observation 301b320f-8e37-4f21-bbd2-98abdf1c92d6 · inbound

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

On subspace-constrained preconditioning for randomized iterative methods Enhanced randomized Douglas-Rachford method: Improved probabilities and adaptive momentum

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-06-29T06:23:08.769769Z

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.