Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:39:01.317885Z
Paper Citation Record · LEDGER
QuicK-means: Acceleration of K-means by learning a fast transform
As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:1908.08713.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact0
- verified fuzzy19
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0526da4d-6296-4278-9b00-754b663fdf20 · outbound
This paper cites How slow is the k-means method? InSymposium on Computational Geometry, pages 1–10, 2006.
QuicK-means: Acceleration of K-means by learning a fast transform How slow is the k-means method? InSymposium on Computational Geometry, pages 1–10, 2006
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.679995Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ad7a6787-08b6-44be-abbb-76dea7612e77 · outbound
This paper cites Proximal alternating linearized minimization or nonconvex and nonsmooth problems.Mathematical Programming, 146(1-2):459–494, 2014.
QuicK-means: Acceleration of K-means by learning a fast transform Proximal alternating linearized minimization or nonconvex and nonsmooth problems.Mathematical Programming, 146(1-2):459–494, 2014
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.663452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7461a601-d9a2-4d26-87e8-62f0381a6e57 · outbound
This paper cites Randomized dimen- sionality reduction fork-means clustering.
QuicK-means: Acceleration of K-means by learning a fast transform Randomized dimen- sionality reduction fork-means clustering
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.646719Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8fb917eb-df2e-41a2-87e0-41a0d7fed577 · outbound
This paper cites Revisiting the nyström method for improved large-scale machine learning.
QuicK-means: Acceleration of K-means by learning a fast transform Revisiting the nyström method for improved large-scale machine learning
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.629651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e4915c75-c14b-4047-8303-124b0b1e0c76 · outbound
This paper cites Algorithm as 136: A k-means clustering algorithm.Journal of the Royal Statistical Society.
QuicK-means: Acceleration of K-means by learning a fast transform Algorithm as 136: A k-means clustering algorithm.Journal of the Royal Statistical Society
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.610468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 315ba5e6-7063-4238-93cc-975f2676ff60 · outbound
This paper cites Data clustering: 50 years beyond k-means.Pattern recognition letters, 31(8):651–666, 2010.
QuicK-means: Acceleration of K-means by learning a fast transform Data clustering: 50 years beyond k-means.Pattern recognition letters, 31(8):651–666, 2010
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:39:01.249861Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b86a597a-d189-48d7-a650-2b59e62fe950 · outbound
This paper cites Sampling methods for the nyström method.
QuicK-means: Acceleration of K-means by learning a fast transform Sampling methods for the nyström method
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.578431Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c5f70ef9-0ec3-4f70-9621-4daa2f7b5330 · outbound
This paper cites Fastfood—approximating kernel expansions in loglinear time.
QuicK-means: Acceleration of K-means by learning a fast transform Fastfood—approximating kernel expansions in loglinear time
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.562658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fb6f9df8-05db-459e-ab4b-e4a3e562969a · outbound
This paper cites Flexible multilayer sparse approximations of matrices and applications.
QuicK-means: Acceleration of K-means by learning a fast transform Flexible multilayer sparse approximations of matrices and applications
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.547284Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation db9454ee-b19e-45ce-9ff8-d6b1fbb4d08c · outbound
This paper cites MNIST handwritten digit database, 2010.
QuicK-means: Acceleration of K-means by learning a fast transform MNIST handwritten digit database, 2010
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.531250Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f41e01a9-442d-4481-99c4-296915e2bf1d · outbound
This paper cites Sparse embeddedk-means clustering.
QuicK-means: Acceleration of K-means by learning a fast transform Sparse embeddedk-means clustering
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.513604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d996ca0b-524c-48a4-b668-134d968b4287 · outbound
This paper cites The Linear Complexity of Computation.Journal of the ACM, 22(2):184–194, April 1975.
QuicK-means: Acceleration of K-means by learning a fast transform The Linear Complexity of Computation.Journal of the ACM, 22(2):184–194, April 1975
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.496045Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fce8a382-93c5-499c-9f7c-cde8085f0e77 · outbound
This paper cites Scalable nearest neighbor algorithms for high dimensional data.IEEE transactions on pattern analysis and machine intelligence, 36(11):2227–2240, 2014.
QuicK-means: Acceleration of K-means by learning a fast transform Scalable nearest neighbor algorithms for high dimensional data.IEEE transactions on pattern analysis and machine intelligence, 36(11):2227–2240, 2014
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.478460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3dee5a79-c4e9-4d03-8d5e-31b95d03507f · outbound
This paper cites Recursive sampling for the nystrom method.
QuicK-means: Acceleration of K-means by learning a fast transform Recursive sampling for the nystrom method
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.462825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd336a68-6d31-4725-a708-ad576cccbe21 · outbound
This paper cites Pedregosa, G.
QuicK-means: Acceleration of K-means by learning a fast transform Pedregosa, G
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.446487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 5c8a1e1f-a88a-4500-99a6-214d9725f413 · outbound
This paper cites Back to the future: Radial basis function networks revisited.
QuicK-means: Acceleration of K-means by learning a fast transform Back to the future: Radial basis function networks revisited
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.425146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 89ed7943-6d3c-4ce0-b8fe-961d19c6a090 · outbound
This paper cites Web-scale k-means clustering.
QuicK-means: Acceleration of K-means by learning a fast transform Web-scale k-means clustering
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.408869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4814bf92-43e3-44e0-ab02-163e5ce3911d · outbound
This paper cites Compressed k-means for large-scale clustering.
QuicK-means: Acceleration of K-means by learning a fast transform Compressed k-means for large-scale clustering
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.391576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 36950cf4-fcc1-4ba2-b1bc-4b69f74cf17d · outbound
This paper cites Computationally efficient nyström approximation using fast transforms.
QuicK-means: Acceleration of K-means by learning a fast transform Computationally efficient nyström approximation using fast transforms
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.374622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation ec6ce5e2-12af-4759-8b9f-2cb5aa72da16 · outbound
This paper cites Local network community detection with continuous optimization of conductance and weighted kernel k-means.The Journal of Machine Learning Research, 17(1):5148–5175, 2016.
QuicK-means: Acceleration of K-means by learning a fast transform Local network community detection with continuous optimization of conductance and weighted kernel k-means.The Journal of Machine Learning Research, 17(1):5148–5175, 2016
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:39:01.357676Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.