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Source: paper_references, paper_reference_links, observed 2026-08-06T17:14:12.917160Z
Paper Citation Record · LEDGER
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure
As of 9 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2507.11724.
A citation records a reference. It does not transfer a finding from one paper to another.
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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
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Source: cited_works
Reference resolution
62 of 62 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f0433b6a-ab8e-49b4-a832-9ee4539a0d0e · outbound
This paper cites Leverage score sampling for faster accelerated regression and erm.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Leverage score sampling for faster accelerated regression and erm
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.704263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 95ecb02d-82f0-4e78-ad79-f4cdf3a9e198 · outbound
This paper cites Katyusha: The first direct acceleration of stochastic gradient methods.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Katyusha: The first direct acceleration of stochastic gradient methods
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.693855Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 4d5a5dfa-439b-457f-b5ac-ea1f8da0fe7f · outbound
This paper cites More asymmetry yields faster matrix multiplication.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure More asymmetry yields faster matrix multiplication
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.683091Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9652fba1-4158-4b4b-9b1f-8e4cdfa15de9 · outbound
This paper cites Faster kernel ridge regression using sketching and preconditioning.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Faster kernel ridge regression using sketching and preconditioning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.672443Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation cb65c687-5726-4341-995e-c98fcb8a23ab · outbound
This paper cites On the rate of convergence of the preconditioned conjugate gradient method.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure On the rate of convergence of the preconditioned conjugate gradient method
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.661480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6b136cb3-a35d-49aa-a1d4-36a4f93e91de · outbound
This paper cites Optimal oblivious subspace embeddings with near-optimal sparsity.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Optimal oblivious subspace embeddings with near-optimal sparsity
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.650807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 951fe63b-8c67-4fff-89f9-66c627af514f · outbound
This paper cites Optimal embedding dimension for sparse subspace embeddings.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Optimal embedding dimension for sparse subspace embeddings
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.640054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0a7cb02c-6600-463b-a857-9cb59312914d · outbound
This paper cites Clarkson and David P.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Clarkson and David P
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.629427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 08edd9b0-a319-4ca0-97ec-c3b6bf73efef · outbound
This paper cites Nearly tight oblivious subspace embeddings by trace inequalities.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Nearly tight oblivious subspace embeddings by trace inequalities
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.618709Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bdb770af-c4ce-4fe9-b993-d8e1daed7622 · outbound
This paper cites Solving directed laplacian systems in nearly-linear time through sparse lu factorizations.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Solving directed laplacian systems in nearly-linear time through sparse lu factorizations
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.607757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c943cbc6-d3af-47c6-9048-bdcbf64b4cff · outbound
This paper cites Cohen, Jonathan A.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Cohen, Jonathan A
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.597201Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3babb9ee-464d-4d26-8c09-c6e8a4b7260e · outbound
This paper cites Cohen, Rasmus Kyng, Gary L.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Cohen, Rasmus Kyng, Gary L
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.587278Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 04c12a4c-42fc-4156-966c-4e4e4603a12f · outbound
This paper cites Cohen, Yin Tat Lee, Cameron Musco, Christopher Musco, Richard Peng, and Aaron Sidford.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Cohen, Yin Tat Lee, Cameron Musco, Christopher Musco, Richard Peng, and Aaron Sidford
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.576017Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 79f274e0-96f1-413b-81a0-b4e60902b536 · outbound
This paper cites Optimal approximate matrix product in terms of stable rank.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Optimal approximate matrix product in terms of stable rank
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.564912Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f389bd51-ae35-4784-9882-decd35dd6357 · outbound
This paper cites Matrix multiplication via arithmetic progressions.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Matrix multiplication via arithmetic progressions
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.555122Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 842ff77a-6f31-4ffc-9402-883ad0ae3413 · outbound
This paper cites Fast linear algebra is stable.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Fast linear algebra is stable
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.544291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 824a91fb-0045-4514-a4f6-0802691dc222 · outbound
This paper cites Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:14:09.209030Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da285e59-688d-409d-8f6a-cd0030301fae · outbound
This paper cites Faster linear systems and matrix norm approximation via multi-level sketched preconditioning.ACM-SIAM Symposium on Discrete Algorithms (SODA), 2025.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Faster linear systems and matrix norm approximation via multi-level sketched preconditioning.ACM-SIAM Symposium on Discrete Algorithms (SODA), 2025
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.534250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0253e6df-d79a-4172-b0a0-81aea3809f53 · outbound
This paper cites Randomized Kaczmarz Methods with Beyond-Krylov Convergence.
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.
Observation 98f9c2b5-4aba-4fac-8ad2-61c10a617b0c · outbound
This paper cites Solving linear systems faster than via preconditioning.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Solving linear systems faster than via preconditioning
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.522562Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 17f16d86-011e-41da-bf73-c69928a600a6 · outbound
This paper cites Randomized Nystr\"om Preconditioning.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Randomized Nystr\"om Preconditioning
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:14:13.173364Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 105a8e24-a6f7-4601-8130-87d044f4e5f2 · outbound
This paper cites Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Un-regularizing: approximate proximal point and faster stochastic algorithms for empirical risk minimization
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.512036Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8aac9b4c-3a70-47c7-b829-39e2ed7b7f09 · outbound
This paper cites Principal component projection without principal component analysis.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Principal component projection without principal component analysis
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.501064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d7906b21-f634-4ea5-b8bd-2a6d418d2999 · outbound
This paper cites Faster eigenvector computation via shift-and-invert preconditioning.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Faster eigenvector computation via shift-and-invert preconditioning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.489041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c3725bf0-4329-4095-8b1a-334271db75a8 · outbound
This paper cites Matrix computations.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Matrix computations
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.478330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 36a69766-0b68-47a9-ac32-08ee7a04c24f · outbound
This paper cites Chebyshev semi-iterative methods, successive overrelaxation iterative methods, and second order richardson iterative methods.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Chebyshev semi-iterative methods, successive overrelaxation iterative methods, and second order richardson iterative methods
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.468495Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 79266890-e2bc-4654-af7b-d84553ff6d60 · outbound
This paper cites Solving ridge regression using sketched preconditioned svrg.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Solving ridge regression using sketched preconditioned svrg
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.458331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 52a47818-61b7-4e29-b61f-d1b1730006f2 · outbound
This paper cites Behavior of slightly perturbed lanczos and conjugate-gradient recurrences.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Behavior of slightly perturbed lanczos and conjugate-gradient recurrences
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.447147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2fc8c636-502b-47a8-acfd-a552844de10f · outbound
This paper cites Methods of conjugate gradients for solving linear systems, volume 49.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Methods of conjugate gradients for solving linear systems, volume 49
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.436173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7a784a8b-2d8b-4ba6-a2e6-88d537b19224 · outbound
This paper cites Gaussian elimination.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Gaussian elimination
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.425577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 593fd0b7-7453-4a90-899a-658a0558e6bf · outbound
This paper cites Structured semidefinite programming for recovering structured preconditioners.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Structured semidefinite programming for recovering structured preconditioners
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.415298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 51155ddd-b9db-48ef-b806-9ac064107f7a · outbound
This paper cites Ultrasparse ultrasparsifiers and faster laplacian system solvers.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Ultrasparse ultrasparsifiers and faster laplacian system solvers
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.404087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9722e25b-aa4c-43ba-8910-57ee61b43627 · outbound
This paper cites Accelerating stochastic gradient descent using predictive variance reduc- tion.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Accelerating stochastic gradient descent using predictive variance reduc- tion
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.392392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation a96e8c41-c8a8-4aaf-98e4-a12f8fe8d02f · outbound
This paper cites Single pass spectral sparsification in dynamic streams.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Single pass spectral sparsification in dynamic streams
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.382131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation f4886cd3-4875-4356-bdba-c8e6c81281ac · outbound
This paper cites Miller, and Richard Peng.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Miller, and Richard Peng
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.372342Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 13d3ff89-7737-43c8-a75c-74dc558bb645 · outbound
This paper cites Miller, and Richard Peng.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Miller, and Richard Peng
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.362268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 137c1f73-8156-4245-a20e-9b046798c64b · outbound
This paper cites Estimating the largest eigenvalue by the power and lanczos algorithms with a random start.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Estimating the largest eigenvalue by the power and lanczos algorithms with a random start
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.352517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2567b221-bfac-44e6-abab-63ab424a0450 · outbound
This paper cites Sparsified cholesky and multigrid solvers for connection laplacians.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Sparsified cholesky and multigrid solvers for connection laplacians
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.343590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 07ec86cc-c84d-4273-b781-ee0933092059 · outbound
This paper cites Approximate gaussian elimination for laplacians-fast, sparse, and simple.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Approximate gaussian elimination for laplacians-fast, sparse, and simple
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T17:14:11.078840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab0a6b2c-085f-4e27-86a1-f0974fa1a949 · outbound
This paper cites Faster algorithms for rectangular matrix multiplication.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Faster algorithms for rectangular matrix multiplication
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.268781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3d327eb1-773e-4e1d-864f-92b89a962a98 · outbound
This paper cites Efficient accelerated coordinate descent methods and faster algorithms for solving linear systems.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Efficient accelerated coordinate descent methods and faster algorithms for solving linear systems
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.169771Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3195aa0d-c5a7-404d-ac63-e211aa61b7e1 · outbound
This paper cites Randomized methods for linear constraints: convergence rates and conditioning.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Randomized methods for linear constraints: convergence rates and conditioning
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:16.056494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 261ea882-66f7-48c3-9629-7f473443248c · outbound
This paper cites Miller, and Richard Peng.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Miller, and Richard Peng
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:15.951501Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 549893fa-7b24-4991-aeab-fb5b757956dc · outbound
This paper cites A universal catalyst for first-order optimization.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure A universal catalyst for first-order optimization
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:15.853314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6197efbe-74b2-4564-b368-a27f953498c1 · outbound
This paper cites Stability of the lanczos method for matrix function approximation.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Stability of the lanczos method for matrix function approximation
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:15.832308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5f78be97-236f-4a15-9bc5-5559ff960d02 · outbound
This paper cites Spec- trum approximation beyond fast matrix multiplication: Algorithms and hardness.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Spec- trum approximation beyond fast matrix multiplication: Algorithms and hardness
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:15.558071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 9888734c-0138-41f1-85f6-ec9baceb40f5 · outbound
This paper cites Nguyˆ en.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Nguyˆ en
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:15.204990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 44064436-770d-4fbd-af3b-56d0ea4378c3 · outbound
This paper cites Nesterov.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Nesterov
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.786532Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 87956472-9c75-451c-99f3-f1ca89ced0cb · outbound
This paper cites Nesterov and Sebastian U.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Nesterov and Sebastian U
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.610650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 57d74947-e8e2-418b-9612-d910515ef30a · outbound
This paper cites Algorithm Design Using Spectral Graph Theory.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Algorithm Design Using Spectral Graph Theory
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.602882Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e3e7bb26-521d-46a0-abb7-2a798edc611c · outbound
This paper cites Sparsified block elimination for directed laplacians.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Sparsified block elimination for directed laplacians
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.487937Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation ad560075-89c7-4079-9c36-d7c571c4be6e · outbound
This paper cites A fast randomized algorithm for overdetermined linear least-squares regression.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure A fast randomized algorithm for overdetermined linear least-squares regression
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.362972Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 8697bbad-e85a-4d0a-bee8-9dc5c7aa9520 · outbound
This paper cites Improved approximation algorithms for large matrices via random projections.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Improved approximation algorithms for large matrices via random projections
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.241662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1b5d6705-7063-4a78-af65-ce851d93388f · outbound
This paper cites Spielman and Shang-Hua Teng.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Spielman and Shang-Hua Teng
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.118677Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 42f5b7ea-4975-4a56-ba37-9dc530329552 · outbound
This paper cites A Note on Preconditioning by Low-Stretch Spanning Trees.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure A Note on Preconditioning by Low-Stretch Spanning Trees
Reference 55
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T17:14:13.025774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2a5e4bb7-303b-4e6e-9c60-67812776a5cc · outbound
This paper cites Gaussian elimination is not optimal.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Gaussian elimination is not optimal
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:14.014602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b7977877-dbe5-4e73-bb53-f6fe9d71201f · outbound
This paper cites A randomized Kaczmarz algorithm with exponential conver- gence.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure A randomized Kaczmarz algorithm with exponential conver- gence
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:13.873479Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 963f8dbd-6a6e-411d-8ad2-4806c5cc0549 · outbound
This paper cites an unresolved cited work.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Unresolved cited work
Reference 58
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T17:14:13.766112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 72b19926-b385-4f84-98d8-3a1101d4f5de · outbound
This paper cites Multiplying matrices faster than coppersmith-winograd.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Multiplying matrices faster than coppersmith-winograd
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:13.650856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 09be5b42-666d-486d-bb0d-5f42c17416a3 · outbound
This paper cites New bounds for matrix multiplication: from alpha to omega.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure New bounds for matrix multiplication: from alpha to omega
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:13.539211Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 799ca7c4-7247-44e6-9133-c9e8feda4dbe · outbound
This paper cites Sketching as a tool for numerical linear algebra.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Sketching as a tool for numerical linear algebra
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:13.410680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c48e1435-0088-47b4-870f-ce2c8a51d85d · outbound
This paper cites Even faster accelerated coordinate descent using non-uniform sampling.
Approaching Optimality for Solving Dense Linear Systems with Low-Rank Structure Even faster accelerated coordinate descent using non-uniform sampling
Reference 62
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T17:14:13.329587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Pith citing papers
No inbound Pith citation observations are available.