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Paper Citation Record · LEDGER

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra

As of 13 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 0 inbound Pith citation observations for arXiv:2501.05587.

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

pith.paper-citation-record.v1
2501.05587 v1

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:16:55.521030Z

measured 58 of 58 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

58 of 58 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b7ca6f9b-da28-44b1-96e8-06731c9c74b4 · outbound

This paper cites Environmental and economic clustering of indonesian provinces: In- sights from k-means analysis.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Environmental and economic clustering of indonesian provinces: In- sights from k-means analysis

Reference 1

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Observation dcf3b23b-748d-4030-8c6f-e069990ca382 · outbound

This paper cites Interdependence between human capital determinants and economic development: K-means regional clustering approach for czechia and poland.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Interdependence between human capital determinants and economic development: K-means regional clustering approach for czechia and poland

Reference 2

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Observation 05455dba-e2dd-43fa-b474-cbf7360cbed8 · outbound

This paper cites K-means-based feature learning for protein sequence classification.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra K-means-based feature learning for protein sequence classification

Reference 3

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Observation ff50a3af-307c-4653-963f-3f8e03a41c6d · outbound

This paper cites Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations

Reference 4

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Source-reported events for the cited work

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Observation 638ab40a-46ec-421f-858b-837c6d2520e0 · outbound

This paper cites Multiplying matrices without multiply- ing.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Multiplying matrices without multiply- ing

Reference 5

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Source-reported events for the cited work

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Observation 1515b174-1bf6-4c5e-b5d7-ec790b18c788 · outbound

This paper cites Kernel k-means: spectral clustering and normalized cuts.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Kernel k-means: spectral clustering and normalized cuts

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cbf0bedd-7973-41a0-84fa-911b162db6a7 · outbound

This paper cites Localized data fusion for kernel k-means clustering with application to cancer biology.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Localized data fusion for kernel k-means clustering with application to cancer biology

Reference 7

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Source-reported events for the cited work

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Observation 9a077ebc-32d8-4602-9399-3e32bd6e40ab · outbound

This paper cites The classification of diabetes mellitus using kernel k-means.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra The classification of diabetes mellitus using kernel k-means

Reference 8

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Source-reported events for the cited work

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Observation 4da16b19-339a-4a00-bbec-24032ce8f29b · outbound

This paper cites A kernel <i>k</i>-means-based method and attribute selections for diabetes diagnosis.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra A kernel <i>k</i>-means-based method and attribute selections for diabetes diagnosis

Reference 9

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Source-reported events for the cited work

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Observation ef75b1f4-84b2-441e-bfd3-caee88feac1f · outbound

This paper cites An Application of Predicting Student Performance Using Kernel K-Means and Smooth Support Vector Machine.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra An Application of Predicting Student Performance Using Kernel K-Means and Smooth Support Vector Machine

Reference 10

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Observation e7b52ec7-0897-4c34-8462-1130f1e4a4e5 · outbound

This paper cites Smart agriculture system based on internet of things using kernel k-means with support vector machine.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Smart agriculture system based on internet of things using kernel k-means with support vector machine

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 6c1f442c-a170-444a-b9da-b10bea078715 · outbound

This paper cites Sar image change detection based on multiple kernel k-means clustering with local-neighborhood information.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Sar image change detection based on multiple kernel k-means clustering with local-neighborhood information

Reference 12

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Source-reported events for the cited work

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Observation bbfbd8a1-0897-4916-b799-62af052e57df · outbound

This paper cites Performance analysis and cpu vs gpu comparison for deep learning.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Performance analysis and cpu vs gpu comparison for deep learning

Reference 13

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Observation 16a56ff1-c779-401a-b68b-496095e796cb · outbound

This paper cites Kaufman, and S.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Kaufman, and S

Reference 14

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Source-reported events for the cited work

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Observation e4253a81-2727-41f9-87d9-d986d0642b04 · outbound

This paper cites Trends of cpu, gpu and fpga for high-performance computing.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Trends of cpu, gpu and fpga for high-performance computing

Reference 15

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation bc9a7f65-e8b5-425a-819f-3bd97319d78c · outbound

This paper cites Detailed analysis and optimiza- tion of cuda k-means algorithm.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Detailed analysis and optimiza- tion of cuda k-means algorithm

Reference 16

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Observation 7e5ad375-bf80-4a59-895e-74b630011f39 · outbound

This paper cites Cpu and gpu parallelized kernel k-means.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Cpu and gpu parallelized kernel k-means

Reference 17

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Observation bfa2ad8d-39e1-4fd9-8cc5-5b1b6425c73c · outbound

This paper cites Rapidsai/raft: Raft contains fundamental widely-used algo- rithms and primitives for data science, graph and machine learning., 2022.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Rapidsai/raft: Raft contains fundamental widely-used algo- rithms and primitives for data science, graph and machine learning., 2022

Reference 18

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Observation 2d471dff-be36-4557-b399-ddd39882d454 · outbound

This paper cites src-d/kmcuda: 6.0.0-1, 2017.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra src-d/kmcuda: 6.0.0-1, 2017

Reference 19

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Observation 8785d511-920a-4755-920e-06687f74188a · outbound

This paper cites Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for? Queue, 6(2):40–53, 2008.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Scalable parallel programming with cuda: Is cuda the parallel programming model that application developers have been waiting for? Queue, 6(2):40–53, 2008

Reference 20

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Observation 56efccce-cca4-4c75-8ed7-50f2d348f2f8 · outbound

This paper cites Automatic Tuning of CUDA Execution Parameters for Stencil Processing, pages 209–228.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Automatic Tuning of CUDA Execution Parameters for Stencil Processing, pages 209–228

Reference 21

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Observation 504c1169-99d1-429b-bdc5-0b063019eeaa · outbound

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Unresolved cited work

Reference 22

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra cuSPARSE, 2024

Reference 23

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra cuBLAS, 2024

Reference 24

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Unresolved cited work

Reference 25

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Source-reported events for the cited work

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This paper cites k-means++: the advantages of careful seeding.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra k-means++: the advantages of careful seeding

Reference 26

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Kernel methods for pattern analysis

Reference 27

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Source-reported events for the cited work

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Thrust: A productivity-oriented library for cuda, 2012

Reference 28

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Libsvm: A library for sup- port vector machines

Reference 29

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This paper cites Learning features in deep architectures with unsupervised kernel k-means.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Learning features in deep architectures with unsupervised kernel k-means

Reference 30

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Rudnicky

Reference 31

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Pattern recognition and machine learning toolbox

Reference 32

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Source-reported events for the cited work

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Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Roofline: an insightful visual performance model for multicore architectures

Reference 33

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Observation 8b789ca5-856e-4679-98b1-db5d86fb2c72 · outbound

This paper cites NVIDIA Nsight Compute, 2024.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra NVIDIA Nsight Compute, 2024

Reference 34

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raw_fallback, observed 2026-08-10T21:16:55.985020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.421920Z digest=sha256:8694927f1fd647f38853f93fd8f852c5b16ccdc4c1a7f88c64eec294109393db

Observation 31e7eee7-0275-4b30-abc8-dda984f1d482 · outbound

This paper cites Using the triangle inequality to accelerate k-means.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Using the triangle inequality to accelerate k-means

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.970202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.426057Z digest=sha256:c3f74255dd7dd7a4d6d0d9febeec044ffd5ae7dc43968665e23501a538110360

Observation d5ae2a87-de18-4af4-be50-d49d0227ae3b · outbound

This paper cites Accelerating lloyd’s algorithm for k-means clustering.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Accelerating lloyd’s algorithm for k-means clustering

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.957636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.429993Z digest=sha256:fd51335ca63a16a36b10f65e6bc26f24d3771ae1c9315309dc532645ec9f59fc

Observation 818dbe76-2d1f-41bc-80e2-9e705ffa5161 · outbound

This paper cites A parallel implementation of k-means clustering on gpus.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra A parallel implementation of k-means clustering on gpus

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.945024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.433986Z digest=sha256:22f18c7c7ad22df59fbd30c2a1a479a75ae7b47668b3974d86d73d8d82608b07

Observation 26e3c189-0335-42c8-8c9d-ac2a8ab169df · outbound

This paper cites Efficient k-means on gpus.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Efficient k-means on gpus

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.930965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.438014Z digest=sha256:3271760f74ad3f0d214d30eb151532b0b539d15bfe8c07e00e698dd665083e78

Observation 1aaa1ddf-f33a-46b9-94a1-a069aa236974 · outbound

This paper cites Speeding up k-means algorithm by gpus.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Speeding up k-means algorithm by gpus

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.915991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.442401Z digest=sha256:6bde0def31b0cc36dfd7d446ea9a443744b2785c92c44d111575dc373d045862

Observation 27b28758-2ab8-4e4e-9821-6cc6c025be4d · outbound

This paper cites Large scale k-means clustering using gpus.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Large scale k-means clustering using gpus

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.899385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.446657Z digest=sha256:983a5156553fdc3ada21c690c8e67cb08d5c82a741fc1f35057ee0f0dcc37034

Observation e0febb31-cc5c-4bc4-962f-7f768d6513b4 · outbound

This paper cites Ap- proximate kernel k-means: Solution to large scale kernel clustering.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Ap- proximate kernel k-means: Solution to large scale kernel clustering

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.887849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.451898Z digest=sha256:19a66ae0ea0932265c3bc9e9058a1c64660029fbdd104a35d2802e8be1422067

Observation 2d56aa40-6565-4f6a-b326-37a5567c7c35 · outbound

This paper cites Sparse kernel k-means for high- dimensional data.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Sparse kernel k-means for high- dimensional data

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.876114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.456210Z digest=sha256:17a55bb553fcf2fd2400372788358900769bc26830ada7b3af1b26bf64ab946d

Observation 0847af7a-7310-4166-9225-70942743dbc9 · outbound

This paper cites Kernel penalized k-means: A feature selection method based on kernel k- means.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Kernel penalized k-means: A feature selection method based on kernel k- means

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.863097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.460206Z digest=sha256:7d2caa0935274c1813ff54a45644b1a95a4cc5c158d8ad04e440414de28b896d

Observation 4a4c2702-33e6-4df3-9406-9715c698c451 · outbound

This paper cites Lacc: A linear-algebraic algorithm for finding connected components in distributed memory.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Lacc: A linear-algebraic algorithm for finding connected components in distributed memory

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.849895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.464178Z digest=sha256:fa2cedf8b339ab4bfe6b4b2da05acb41ad76172dbe7783272a28e476df87db14

Observation 8ce85c05-ba4d-4186-bde1-e604267c04d3 · outbound

This paper cites Algorithm 1000: Suitesparse: Graphblas: Graph algorithms in the language of sparse linear algebra.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Algorithm 1000: Suitesparse: Graphblas: Graph algorithms in the language of sparse linear algebra

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.833601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.468175Z digest=sha256:f39dad8e508c53754bb5882a805707fa3c4d9ebef4be7eb0d5258ba0714f9209

Observation e9dce3ad-8f54-4a07-bb86-b097fa11ee54 · outbound

This paper cites The combinatorial blas: Design, implementation, and applications.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra The combinatorial blas: Design, implementation, and applications

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.819711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.472225Z digest=sha256:6bdf9112f1af542bde10bb489900d47cf82073c1c2c470f87637ef0123861938

Observation a67465c8-ffe7-4a6d-9fe6-0f158dc6b3f0 · outbound

This paper cites Sparse Tensor Algebra as a Parallel Programming Model.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Sparse Tensor Algebra as a Parallel Programming Model

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:16:55.685514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.476734Z digest=sha256:5a2596c7bc50a7141472b92795cac5222358ff4b73fda52a32d74f22f35bfc74

Observation 8d1ec6b7-4e5b-46f5-96dc-6b41c7e3a9df · outbound

This paper cites Parallel string graph construction and transi- tive reduction for de novo genome assembly.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Parallel string graph construction and transi- tive reduction for de novo genome assembly

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.805708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.481479Z digest=sha256:e97354c156cf34180686f5eb15a842f90a10df24955b514828b93519ba07b208

Observation 592058b0-5de0-48a7-9c11-285d24a69d77 · outbound

This paper cites Distributed-memory parallel contig gener- ation for de novo long-read genome assembly.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Distributed-memory parallel contig gener- ation for de novo long-read genome assembly

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.792331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.485673Z digest=sha256:c06059878b3524c006806a1d8b3b88a93a9fcb65d60759de5aebf05b533f65e4

Observation 72de51bf-69e6-4218-9cb2-9b1d0eabf2dc · outbound

This paper cites Bella: Berkeley efficient long-read to long-read aligner and overlapper.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Bella: Berkeley efficient long-read to long-read aligner and overlapper

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.778594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.490040Z digest=sha256:c489cb444c6c02c67855ffb9302661ea80cca66042f695b5fa939fc996938b32

Observation 3a9e395a-6ad3-4fb5-880e-a231292d7641 · outbound

This paper cites Reducing com- munication in graph neural network training.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Reducing com- munication in graph neural network training

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.765742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.494862Z digest=sha256:3a68c69a228f64eeb08f630d09f1a3bf0f1b0edc4540bcdf6b6b45b0cc46b7c5

Observation f8a45dd0-c13e-4aa1-a6b9-29e8007ac465 · outbound

This paper cites Scalable node embedding algorithms using distributed sparse matrix operations.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Scalable node embedding algorithms using distributed sparse matrix operations

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.751865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.499428Z digest=sha256:fef0dc5ab83bf91187e9663e966c109ea068a1047ceb8bd2d48fd3e4a2ec21a7

Observation 20f17cd6-cb89-4e95-9da0-c341e798e2e3 · outbound

This paper cites Hipmcl: a high-performance parallel implementation of the markov clustering algorithm for large-scale networks.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Hipmcl: a high-performance parallel implementation of the markov clustering algorithm for large-scale networks

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.738561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.503600Z digest=sha256:0dd2a4f4cda5517a42b7597fb25427c9597a4dc72932b3793095b11d0ef21f85

Observation e6310c9c-7a1e-403a-9baa-d01e30f9c7b4 · outbound

This paper cites Efficient sphere detector algorithm for massive mimo using gpu hardware accelerator.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Efficient sphere detector algorithm for massive mimo using gpu hardware accelerator

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.725958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.507676Z digest=sha256:cd41f5edfeac46141b7b5da1ddec27b0b4a0a7b0de669d7ca3a968afaa98333c

Observation f2c76064-81e3-4c78-b694-f103a68db89c · outbound

This paper cites Leveraging gpu tensor cores for double precision euclidean distance calculations.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Leveraging gpu tensor cores for double precision euclidean distance calculations

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T21:16:55.711832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.511556Z digest=sha256:fcb7cf3aa73f793e9b3d6e5fab4f791f3edb3a5b2ad2c6c1bec031f8a2d5589a

Observation eb81e39a-6af5-4c20-80d7-74b6458d4bdc · outbound

This paper cites Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Toward Capturing Genetic Epistasis From Multivariate Genome-Wide Association Studies Using Mixed-Precision Kernel Ridge Regression

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:16:55.668152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.516106Z digest=sha256:c0505700638d77a1d33376fe59578291b3c5ee27b5c62034fac29c9cae136f2e

Observation ebdf9374-2edd-401b-98a1-8b839578e823 · outbound

This paper cites Human activity recognition based on parallel approximation kernel k-means algorithm.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Human activity recognition based on parallel approximation kernel k-means algorithm

Reference 57

Resolution
malformed identifier
raw_fallback, observed 2026-08-10T21:16:55.648832Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-10T21:16:55.521030Z digest=sha256:e082e9a4d363f6d8fa1c8b91b6f4f979569ced5000d9d9eed8906c214bbdcdd9

Observation 7a99c6df-eaf1-4a7a-92e6-fd0d58001406 · outbound

This paper cites an unresolved cited work.

Popcorn: Accelerating Kernel K-means on GPUs through Sparse Linear Algebra Unresolved cited work

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-10T21:16:55.389753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:55.389753Z digest=sha256:3ebc1f46b4b05fa4e110d8d7195fcebfb4f9670fd7eb1da4373f51cdac722a47

Pith citing papers

No inbound Pith citation observations are available.