Paper Citation Record · LEDGER

Large-Scale Sparse Subspace Clustering Using Landmarks

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.00683.

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

pith.paper-citation-record.v1
1908.00683 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T15:42:47.042537Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy28
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3deb52c6-68f7-48fd-8a6d-785e8129a87a · outbound

This paper cites Towards K-m eans-friendly spaces: Simul- taneous deep learning and clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Towards K-m eans-friendly spaces: Simul- taneous deep learning and clustering,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.471442Z

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 9408be45-6a08-4290-80d0-7deed895753a · outbound

This paper cites A cluster-then-label semi-supervised learning approach for pathology image classiﬁcation,.

Large-Scale Sparse Subspace Clustering Using Landmarks A cluster-then-label semi-supervised learning approach for pathology image classiﬁcation,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.457631Z

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 a154453c-3399-405b-af7c-28fe4097d561 · outbound

This paper cites Subspace clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Subspace clustering,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T15:42:46.820050Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ee0a860-6218-4d6c-90f6-125cacc6b55d · outbound

This paper cites A geometric analysis of subspace clustering with outliers,.

Large-Scale Sparse Subspace Clustering Using Landmarks A geometric analysis of subspace clustering with outliers,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.435167Z

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 67eab6f2-20f3-4284-aaf0-a0357b356b9c · outbound

This paper cites Robus t subspace clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Robus t subspace clustering,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.420404Z

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 65729cf0-32c2-43a8-832f-6c5dbb46a53d · outbound

This paper cites Subspace clustering of hi gh-dimensional data: a predictive approach,.

Large-Scale Sparse Subspace Clustering Using Landmarks Subspace clustering of hi gh-dimensional data: a predictive approach,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.407878Z

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 d0cf8d0c-d6ee-4050-908d-b7d89b22e80f · outbound

This paper cites Sparse subspace clustering: Algorithm, theory, and applica- tions,.

Large-Scale Sparse Subspace Clustering Using Landmarks Sparse subspace clustering: Algorithm, theory, and applica- tions,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.395187Z

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 e09aa52b-12c9-45ba-8611-23ed04cdceef · outbound

This paper cites Sparse subspace clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Sparse subspace clustering,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.381902Z

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 fb88ecde-0816-4c6b-8b96-07c846f7c746 · outbound

This paper cites A tutorial on spectral clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks A tutorial on spectral clustering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.368127Z

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 ee9de9dc-de0c-48a4-87e3-0d8ac1b768d0 · outbound

This paper cites Fast approximate spect ral clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Fast approximate spect ral clustering,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.354440Z

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 d505aa6a-9f0d-453a-845a-81e8862ad72e · outbound

This paper cites Learning dee p representations for graph clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Learning dee p representations for graph clustering,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.340872Z

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 6fb7bb04-41c5-4719-858e-55eb0ddba104 · outbound

This paper cites A randomized app roach to eﬃcient kernel clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks A randomized app roach to eﬃcient kernel clustering,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.326542Z

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 f7c623ac-5b67-4849-8f9e-b6485d4e9f19 · outbound

This paper cites Spe ctral clustering of large- scale data by directly solving normalized cut,.

Large-Scale Sparse Subspace Clustering Using Landmarks Spe ctral clustering of large- scale data by directly solving normalized cut,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.312746Z

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 7007c5fc-aee1-43d8-b1c6-ddc392f14de6 · outbound

This paper cites A simple and fast algorithm for K-med oids clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks A simple and fast algorithm for K-med oids clustering,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.299244Z

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 eb85d2a1-ad1b-4f68-81a4-265effbcf299 · outbound

This paper cites Sketched subspace clu stering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Sketched subspace clu stering,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.285587Z

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 b2f6a042-c54f-40cd-aa84-04d350c8bd1d · outbound

This paper cites Preconditioned data sparsiﬁcation for big data with applications to PCA and K-means,.

Large-Scale Sparse Subspace Clustering Using Landmarks Preconditioned data sparsiﬁcation for big data with applications to PCA and K-means,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.272167Z

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 c000c608-eada-48e7-9cea-aae87e32f6ca · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers,.

Large-Scale Sparse Subspace Clustering Using Landmarks Distributed optimization and statistical learning via the alternating direction method of multipliers,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.258968Z

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 3aa9dc57-6780-4f96-b95d-dfc992223479 · outbound

This paper cites Efficient Solvers for Sparse Subspace Clustering.

Large-Scale Sparse Subspace Clustering Using Landmarks Efficient Solvers for Sparse Subspace Clustering

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T15:42:46.882701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccc1435f-34fe-4b62-8131-830e1774ba88 · outbound

This paper cites Scalable sparse subs pace clustering by orthogonal matching pursuit,.

Large-Scale Sparse Subspace Clustering Using Landmarks Scalable sparse subs pace clustering by orthogonal matching pursuit,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.245864Z

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 d4b447fd-e6ec-4a55-ae9d-b0e626002a4b · outbound

This paper cites A scalable exem plar-based subspace clustering algorithm for class-imbalanced data,.

Large-Scale Sparse Subspace Clustering Using Landmarks A scalable exem plar-based subspace clustering algorithm for class-imbalanced data,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.233078Z

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 9154c64f-5ea0-4f0f-a06a-083c136a44b9 · outbound

This paper cites Scalable K-means cl ustering via lightweight coresets,.

Large-Scale Sparse Subspace Clustering Using Landmarks Scalable K-means cl ustering via lightweight coresets,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.219259Z

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 f7d7456a-d6f0-478b-8b02-5468f0f062f7 · outbound

This paper cites Train ing Gaussian mixture models at scale via coresets,.

Large-Scale Sparse Subspace Clustering Using Landmarks Train ing Gaussian mixture models at scale via coresets,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.205140Z

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 fbd4ec57-311e-4577-aa8a-0abe007423ac · outbound

This paper cites Rando mized clustered Nystr¨ om for large- scale kernel machines,.

Large-Scale Sparse Subspace Clustering Using Landmarks Rando mized clustered Nystr¨ om for large- scale kernel machines,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.190852Z

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 490018d1-2a2c-40e6-85da-c600ee51b210 · outbound

This paper cites Finding structu re with randomness: Probabilis- tic algorithms for constructing approximate matrix decomp ositions,.

Large-Scale Sparse Subspace Clustering Using Landmarks Finding structu re with randomness: Probabilis- tic algorithms for constructing approximate matrix decomp ositions,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.176492Z

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 8218eafe-ada4-4979-8b04-fc4731833d38 · outbound

This paper cites Sparse modeling for im age and vision processing,.

Large-Scale Sparse Subspace Clustering Using Landmarks Sparse modeling for im age and vision processing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.161842Z

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 742af795-f6d4-4e5a-8012-5690f99dbedb · outbound

This paper cites Gradient- based learning applied to docu- ment recognition,.

Large-Scale Sparse Subspace Clustering Using Landmarks Gradient- based learning applied to docu- ment recognition,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.146674Z

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 51d06ee7-c34f-4953-97a1-02ee1ca122c9 · outbound

This paper cites Invariant scattering convolut ion networks,.

Large-Scale Sparse Subspace Clustering Using Landmarks Invariant scattering convolut ion networks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.132647Z

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 9e2702ee-56c5-49a9-bdf7-5df30e7a16a9 · outbound

This paper cites Memory and compu tation eﬃcient PCA via very sparse random projections,.

Large-Scale Sparse Subspace Clustering Using Landmarks Memory and compu tation eﬃcient PCA via very sparse random projections,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.119389Z

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 2bf3f7a4-0433-482d-a7e5-9b31b5648064 · outbound

This paper cites Dimensiona lity-reduced subspace clustering,.

Large-Scale Sparse Subspace Clustering Using Landmarks Dimensiona lity-reduced subspace clustering,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.106110Z

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 a6cf53eb-2a05-4d02-9044-420637262266 · outbound

This paper cites A general framework for understanding compressed sub- space clustering algorithms,.

Large-Scale Sparse Subspace Clustering Using Landmarks A general framework for understanding compressed sub- space clustering algorithms,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T15:42:47.092674Z

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.