Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:23.134641Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 1 inbound Pith citation observation for arXiv:2510.12705.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T09:57:23.134641Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T10:59:27.673659Z
A source-named dated measurement, never combined with another source.
Source: cited_works
93 of 93 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation eff7e196-e281-4935-b06f-b58f1d861e89 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Unveiling lora intrinsic ranks via salience analysis,
Reference 1
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Observation 755c2261-b1bd-464f-a30f-4d46fb663220 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Svft: Parameter-efficient fine-tuning with singular vectors,
Reference 2
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Lora: Low-rank adaptation of large language models
Reference 3
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Observation ea0d9b50-ca77-49e8-91b9-2c0d74fc5284 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs The extraordinary svd,
Reference 4
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Diagnosing non- hermitian many-body localization and quantum chaos via singular value decomposition,
Reference 5
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs The singular value decomposition: Anatomy of optimizing an algorithm for extreme scale,
Reference 6
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Fast tridiagonal solvers on the gpu,
Reference 7
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs High performance solution of tridiagonal systems on the gpu,
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs A scalable, numerically stable, high-performance tridiagonal solver using gpus,
Reference 9
Source-reported events for the cited work
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Observation 3778ebdd-3f62-43c0-8d00-482b288a9e74 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs A divide-and-conquer approach for solving singular value decomposition on a heterogeneous system,
Reference 10
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Accelerating numerical dense linear algebra calculations with gpus,
Reference 11
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Observation 155040e0-3608-4979-b780-b1b40f868fbc · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Ponte vecchio across the atlantic: Single-node benchmarking of two intel gpu systems,
Reference 12
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Observation 1527d9de-1f73-4606-bcac-4b6d4c41ceb2 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Effective Extensible Program- ming: Unleashing Julia on GPUs,
Reference 13
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Gpuarrays.jl,
Reference 14
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Kernelabstractions.jl,
Reference 15
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Observation ccdd78cc-ead1-4c99-a4ef-194025df4c22 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs PLASMA: Parallel Linear Algebra Software for Multicore Using OpenMP,
Reference 16
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Observation a7d73072-9f60-46b3-84d0-1c7c474186f7 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Accelerating the SVD Two Stage Bidiagonal Reduction and Divide and Conquer Using GPUs,
Reference 17
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Communication Avoiding Successive Band Reduction,
Reference 18
Source-reported events for the cited work
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Families of algorithms for reducing a matrix to condensed form,
Reference 19
Source-reported events for the cited work
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Parallel Reduction to Con- densed Forms for Symmetric Eigenvalue Problems Using Aggregated Fine-Grained and Memory-Aware Kernels,
Reference 20
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Algorithm 807: The sbr toolbox—software for successive band reduction,
Reference 21
Source-reported events for the cited work
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Observation 53bb3c75-4455-43dc-a166-e4d8a3c5d449 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Restructuring the tridiagonal and bidiagonal qr algorithms for performance,
Reference 22
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs The elpa library: scalable parallel eigenvalue solutions for electronic structure theory and compu- tational science,
Reference 23
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Reduction to band form for the singular value decomposition on graphics accelerators,
Reference 24
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Observation ac88a350-7dcf-413e-ba73-9d7266c9e60f · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs A novel hybrid cpu–gpu generalized eigensolver for electronic structure calcu- lations based on fine-grained memory aware tasks,
Reference 25
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Accelerating the reduction to upper hessenberg, tridiagonal, and bidiagonal forms through hybrid gpu-based computing,
Reference 26
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Evolution of the SLATE Linear Algebra Library,
Reference 27
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Observation da34710c-0051-463f-b30c-fa433f14a2b0 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs MAGMA: Enabling exascale performance with accelerated BLAS and LAPACK for diverse GPU ar- chitectures,
Reference 28
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Observation 730c234d-7b4c-413b-a83e-ea0397c02d0f · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs rocsolver,
Reference 29
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Singular value decomposition on gpu using cuda,
Reference 30
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Observation 85a70bf9-d233-4b05-aa6f-4c7289e0f627 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Gpu-based parallel householder bidiagonalization,
Reference 31
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Efficient gpu-centered singular value decomposition using the divide-and-conquer method,
Reference 32
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Observation 8c792b37-b8ed-4998-a1a4-e44e58af56c7 · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Gpu- acceleration of the elpa2 distributed eigensolver for dense symmetric and hermitian eigenproblems,
Reference 33
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Observation 7bd29328-35ba-4d56-97ff-632afc94b01e · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Eigen-g: Gpu-based eigen- value solver for real-symmetric dense matrices,
Reference 34
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Reference 35
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Introduction to starneig—a task-based library for solving non- symmetric eigenvalue problems,
Reference 36
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Toward a high performance tile divide and conquer algorithm for the dense symmetric eigenvalue problem,
Reference 37
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Observation bfbf96c4-3ada-4eaf-81d3-0afc3888135d · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs cusolver,
Reference 38
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Observation a0b55180-9ea4-4b15-99b0-4fcee750b60c · outbound
Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs An efficient 2d fusion method for high-performance two-stage eigensolvers on modern heterogeneous architectures,
Reference 39
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Reference 40
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Cuda programming guide,
Reference 41
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Reference 42
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs High-Performance Bidiagonal Reduction Using Tile Algorithms on Homogeneous Multicore Architec- tures,
Reference 43
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Gpu-acceleration of the elpa2 distributed eigensolver for dense symmetric and hermitian eigenproblems,
Reference 46
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Manycore algorithms for batch scalar and block tridiagonal solvers,
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Reference 48
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs A fast gpu based bidiagonal solver for computational aeroacoustics,
Reference 49
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Symmetric tridiagonal eigenvalue solver across cpu graphics processing unit (gpu) nodes,
Reference 50
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Stable and efficient spectral divide and conquer algorithms for the symmetric eigenvalue decomposition and the svd,
Reference 51
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Observation 1db7aadf-50bb-4270-9ed4-2cbb7657dec8 · outbound
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Reference 52
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Reference 53
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs An improved divide-and-conquer algorithm for the banded matrices with narrow bandwidths,
Reference 54
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs A parallel structured banded dc algorithm for symmetric eigenvalue problems,
Reference 55
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Reference 56
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Reference 57
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Reference 58
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs A comprehensive study of task coalescing for selecting parallelism granularity in a two- stage bidiagonal reduction,
Reference 59
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Efficient parallel reduction of bandwidth for symmetric matrices,
Reference 60
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Reference 61
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Parallel two-stage reduction to hessenberg-triangular form,
Reference 62
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Algorithm 953: Parallel library software for the multishift qr algorithm with aggressive early deflation,
Reference 63
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Reference 64
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Accelerating Bidiagonalization of Banded Matrices through Memory-Aware Bulge-Chasing on GPUs Arrayfire: a gpu acceleration platform,
Reference 65
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Reference 66
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Reference 69
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Reference 71
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Reference 72
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Reference 73
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Reference 74
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Reference 75
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Observation d7fe4ff6-b0bc-4f74-8631-d1faa24ee416 · outbound
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Reference 76
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Observation 95dfafd6-9a62-4074-84b1-9096d66fb8d1 · outbound
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Reference 77
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