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Paper Citation Record · LEDGER

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.14089.

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

pith.paper-citation-record.v1
2507.14089 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:18:21.583437Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

43 of 43 outbound references displayed

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  • verified fuzzy37
  • unresolved5
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 844de8c1-31b8-48d9-8c1b-9b1ddf96b1d5 · outbound

This paper cites an unresolved cited work.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 83c2ca94-c5b7-4100-99c8-3321f5656ecb · outbound

This paper cites Awerbuch, A.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Awerbuch, A

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:17.675859Z digest=sha256:41c837e3f572a24d0304a2ec705cbef81ef66fefc207b595df83c6fca57e3015

Observation f7fcb878-bcf2-4b6b-9c6b-73118643fdde · outbound

This paper cites Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Near-optimal hashing algorithms for approximate nearest neighbor in high dimensions

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:17.763774Z digest=sha256:3d47fc784cf7c561eef45cd683873f5691a479e8673e8144aca6077cecaf04df

Observation c81ceef7-998f-4f2d-a947-27ba4f45dbb3 · outbound

This paper cites Streaming k-means approximation.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Streaming k-means approximation

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:17.839430Z digest=sha256:3e6d805b8fe57de958344b8845e3e858b0860be337552d99bfb25b24d43f5f46

Observation be496cda-aa28-4c14-8e99-ad84935093fe · outbound

This paper cites Better guarantees for \ k\ -means and euclidean \ k\ -median by primal-dual algorithms.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Better guarantees for \ k\ -means and euclidean \ k\ -median by primal-dual algorithms

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:17.906501Z digest=sha256:b17f16b1b780bd39b1ee98ccd1d6b8b32755e4e2cc4be74d38e130bc2cac7f09

Observation cb03af5e-e6da-4b01-abf7-6c11ddceb353 · outbound

This paper cites Oblivious dimension reduction for k-means: beyond subspaces and the johnson-lindenstrauss lemma.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Oblivious dimension reduction for k-means: beyond subspaces and the johnson-lindenstrauss lemma

Reference 6

Resolution
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raw_fallback, observed 2026-08-06T16:18:30.014350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.039026Z digest=sha256:e10c9f53f90e2d6d09d78424bdbdb2252eb76b0111806a880870cdbe90dc6d07

Observation ae061f2b-2f6e-4318-8f9e-25c8b6c72a00 · outbound

This paper cites Distributed k-means and k-median clustering on general topologies.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Distributed k-means and k-median clustering on general topologies

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.085491Z digest=sha256:14b473c21aa5529e5c886f3e585564a053f87d9f946de022df82ef9e8dcbf837

Observation e7f26bb7-032b-4ac7-978e-28280c1d5279 · outbound

This paper cites Node and edge averaged complexities of local graph problems.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Node and edge averaged complexities of local graph problems

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.192057Z digest=sha256:e1314e5ade36809c27ada97dce38b67abaa3ac77bef9530ed5dea7da6c813e00

Observation a23a0c64-0969-487d-ab1c-a16e6191bfcb · outbound

This paper cites Blelloch, Anupam Gupta, and Kanat Tangwongsan.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Blelloch, Anupam Gupta, and Kanat Tangwongsan

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.301259Z digest=sha256:34aab71bf4f07a381c324731e3d379b93360e504084fd928b0e1a454392479dd

Observation 9ea24b59-b1b7-4ef9-a462-c77dff2ab4c3 · outbound

This paper cites Efficient k-anonymization using clustering techniques.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Efficient k-anonymization using clustering techniques

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 2e7b30a6-f757-4e55-a54a-d9f3332b062c · outbound

This paper cites Scalable k-means clustering via lightweight coresets.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Scalable k-means clustering via lightweight coresets

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.469564Z digest=sha256:2a9e0c4a28b57991399c7eccec7bc58b1bd64a2b059af32dc8f2daea2b4e9985

Observation c1544c45-35f2-4236-b4ac-06ddf7eee528 · outbound

This paper cites Blelloch and Kanat Tangwongsan.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Blelloch and Kanat Tangwongsan

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.535947Z digest=sha256:b101e26df59b0913d1bed3576aa83c501013557bd6ed203b9313ace10d3a67e5

Observation bf6e2507-1f32-4a99-9fd5-977a97885787 · outbound

This paper cites Distributed clustering via LSH based data partitioning.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Distributed clustering via LSH based data partitioning

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.637139Z digest=sha256:b07e35ca98469abda07adcb2999a97aea9acd154fab6add04539b6ff6a515a84

Observation a004bda0-aa5e-43de-9f7e-010b4f7f7402 · outbound

This paper cites Breaching the 2 LMP approximation barrier for facility location with applications to k -median.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Breaching the 2 LMP approximation barrier for facility location with applications to k -median

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.719804Z digest=sha256:d9a671c680e3fd026282f50bb78019bd953c81f776fab594babac96e95b637ea

Observation dd1f96c4-1802-433c-84f3-afc93a8de9cc · outbound

This paper cites Near-optimal private and scalable k -clustering.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Near-optimal private and scalable k -clustering

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:18.803080Z digest=sha256:01f2a9a578a4feed5f9884b69f5943dc3d3eda88b89c581d0c3be1ae9265d941

Observation 0c932541-db52-43fe-9add-8a404eeef097 · outbound

This paper cites an unresolved cited work.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Unresolved cited work

Reference 16

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d1392b1b-c59f-4f2b-96c7-6df21f227b06 · outbound

This paper cites an unresolved cited work.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation c308941a-4d5b-404d-835b-91b468755403 · outbound

This paper cites Online k-means clustering.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Online k-means clustering

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.047303Z digest=sha256:73f8f8364db588568314ef5033d29264b53175d918775b6a97e17c555c836ec2

Observation 8c2e9797-e065-4bd4-b4d3-8f0bafa6b66d · outbound

This paper cites Jiang, Robert Krauthgamer, Pavel Veselý, and Mingwei Yang.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Jiang, Robert Krauthgamer, Pavel Veselý, and Mingwei Yang

Reference 19

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 92727a96-99fe-47ce-9ffe-9957ee9a1526 · outbound

This paper cites Time and space optimal massively parallel algorithm for the 2-ruling set problem.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Time and space optimal massively parallel algorithm for the 2-ruling set problem

Reference 20

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.232611Z digest=sha256:773dff106f2457f2d7a8164747c675a7dacbd00f87eec5269ebd6fa9676ea78e

Observation 8c8273d1-ff76-4d23-9dde-490b9e12d3bf · outbound

This paper cites Parallel and efficient hierarchical k-median clustering.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Parallel and efficient hierarchical k-median clustering

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.314572Z digest=sha256:9387f426ad905f3fba5fdaf06d9e9e3ddecc508deb99c73c651c33dd6d39140c

Observation b21031b3-c331-4788-9886-4f275a407a42 · outbound

This paper cites Mirrokni, and Peilin Zhong.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Mirrokni, and Peilin Zhong

Reference 22

Resolution
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raw_fallback, observed 2026-08-06T16:18:25.973278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.387151Z digest=sha256:f0f6d5e1147fdfbfad58f3d3b8e2f74b22b3bcc76cf3919c3c757687636ae6e0

Observation 47e65763-eb42-480d-b01b-36a70066771c · outbound

This paper cites Better streaming algorithms for clustering problems.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Better streaming algorithms for clustering problems

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.477044Z digest=sha256:17ab782b52b7818953aaed0dc5c033b2f30239e44458a67827e5ef92be87918e

Observation 1ae61768-b6b1-4d31-85c0-b1aadeca199d · outbound

This paper cites Mirrokni.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Mirrokni

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.527961Z digest=sha256:551ec327ee929cb215f8050cec9decbd30f3f8a788633217828e092c5b33e4ac

Observation 134a389e-d927-4598-b769-4cc3f9b30125 · outbound

This paper cites Fast clustering using mapreduce.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Fast clustering using mapreduce

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-06T16:18:25.129721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.615035Z digest=sha256:f729a53fac6d56b14c65228c5a717ad9e5df1899f7031baaf086854f1658c540

Observation 498765fd-9705-4501-874e-78b004b3adbd · outbound

This paper cites Ghaffari.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Ghaffari

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:24.898172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.704093Z digest=sha256:1f59d70575ee52b402733d1f5a653489b03dd14f1b2e28978bff314b657e72a4

Observation 74414436-4d8c-459b-8748-93d72797c47e · outbound

This paper cites Massively parallel ruling set made deterministic.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Massively parallel ruling set made deterministic

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:24.733551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.784741Z digest=sha256:d75b56e87a2a654a66fe2bea3b87c8a5e898c2975a7bf9bc802d46fe1a65d8e7

Observation eb4c6a23-1ed6-46fa-a946-370cb15e4524 · outbound

This paper cites Goodrich, Nodari Sitchinava, and Qin Zhang.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Goodrich, Nodari Sitchinava, and Qin Zhang

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T16:18:24.612513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.915468Z digest=sha256:d876da24c310b7f8d05e6cd28449f9a5af0198609d20510ab2d7612b65287d13

Observation 1ad405ce-7d2a-40c8-a6a0-bf00bb9460f7 · outbound

This paper cites Sparsifying distributed algorithms with ramifications in massively parallel computation and centralized local computation.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Sparsifying distributed algorithms with ramifications in massively parallel computation and centralized local computation

Reference 29

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raw_fallback, observed 2026-08-06T16:18:24.360416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:19.999550Z digest=sha256:0223d13dada1c78abab8ee68b74e43bca759975d297f966a603d6748cf3a3c3e

Observation e3e36943-7ca1-48cd-993f-ed443f1335b8 · outbound

This paper cites Massively parallel computation: A lgorithms and applications.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Massively parallel computation: A lgorithms and applications

Reference 30

Resolution
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raw_fallback, observed 2026-08-06T16:18:24.111534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.097286Z digest=sha256:41f991d26c3ec45dd2c515b02f7bfcde233c3d7ee799f26bfeb302afc32beeae

Observation 77e0c870-f990-4285-b5f2-0ed57c05cc8a · outbound

This paper cites Nearest neighbors in high-dimensional spaces.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Nearest neighbors in high-dimensional spaces

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:23.911873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.104967Z digest=sha256:3f2a3e33faadbc39031227ecd98a6ecff2f350e3556513d37e88bb4a758c4b8d

Observation 04c0e060-3f29-471c-afd7-f758fee9719e · outbound

This paper cites Vazirani.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Vazirani

Reference 32

Resolution
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raw_fallback, observed 2026-08-06T16:18:23.751014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.170510Z digest=sha256:e5f1e6c14a6192d1e3f8b25b60c107e88f84b66e20f81f42ae4b4840f84e4a2e

Observation a231c319-f22a-44a2-9088-a1b462cb1b4d · outbound

This paper cites Deterministic distributed ruling sets of line graphs.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Deterministic distributed ruling sets of line graphs

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:23.636942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.308865Z digest=sha256:da3fd4b7225c4d6ca3723b7af8a08426ae09c9dc57050190fe3e80f18480aa15

Observation da7ab2ca-780c-497e-b1fd-2240b20972ce · outbound

This paper cites Kothapalli and S.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Kothapalli and S

Reference 34

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verified fuzzy
raw_fallback, observed 2026-08-06T16:18:23.455437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.431758Z digest=sha256:7ecef3b6d89333e17389a2ee76d45781401620892e1328cfd98b1a9bcb6d493c

Observation 7c300c5f-048d-4e53-9392-09721af6d368 · outbound

This paper cites Pemmaraju.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Pemmaraju

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:23.287821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.569568Z digest=sha256:6f5f4e7ba1e58f9ea1fca8971b7e3b4c3f53b832d9e9e031b54caeb4b3926475

Observation 1d2a64d8-747e-4b53-9c2a-4174ea5714fd · outbound

This paper cites Karloff, Siddharth Suri, and Sergei Vassilvitskii.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Karloff, Siddharth Suri, and Sergei Vassilvitskii

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:23.104185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.690241Z digest=sha256:39a866d8527fe157785cf5270a71876caa02bd7ac57912524673f96ee87d0eaa

Observation c4128765-1eb8-481f-81e5-08a2c965a6df · outbound

This paper cites Least squares quantization in pcm.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Least squares quantization in pcm

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:22.981223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.780869Z digest=sha256:f9e2d212790942bd5e2065ce4db602ab34fe0f4b1a8078b684144f8167945c48

Observation ea31001a-a72c-46e2-8112-00d5cd625313 · outbound

This paper cites an unresolved cited work.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:18:22.809520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:20.894867Z digest=sha256:58cf6b93e22cf0703ded0315a709ff4a4d6dd9247f47314d993cc9e3d3136522

Observation 737eaa32-99bf-42c6-9a69-754c3880bd03 · outbound

This paper cites Quantizing for minimum distortion.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Quantizing for minimum distortion

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:22.618170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:21.061713Z digest=sha256:3d8f0eafd08ab24c7afb75693d0ef205bf3b8eae7089fc9536fb5677d42b88b0

Observation d57f4445-9248-4d2d-874a-d15e7f817a3c · outbound

This paper cites Online facility location.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Online facility location

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:22.397189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:21.177140Z digest=sha256:9f2ec473109c3c0697106ea7ae0997f6e0095a0ead38fc129d1d103033da755b

Observation 6e57d935-d388-4c43-8a2a-13864b0ee303 · outbound

This paper cites Fast distributed algorithms for computing separable functions.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Fast distributed algorithms for computing separable functions

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:18:22.210738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:21.385198Z digest=sha256:7411a056d3e8185c1768063f427d06954725be2a46261f01fb52e5bef1efdd91

Observation 21c00e1c-0507-4726-92fc-c7ceb147ac8f · outbound

This paper cites an unresolved cited work.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:18:22.028895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:21.519208Z digest=sha256:e8078edbd6441a1c5fbb605d218d9a09161d39c333c1f429b58e9feb70e69c4f

Observation 777c2475-a9ad-482a-b5f8-4c91aca176c1 · outbound

This paper cites Nearly Optimal Dynamic $k$-Means Clustering for High-Dimensional Data.

An Efficient Massively Parallel Constant-Factor Approximation Algorithm for the $k$-Means Problem Nearly Optimal Dynamic $k$-Means Clustering for High-Dimensional Data

Reference 43

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T16:18:21.811376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-06T16:18:21.583437Z digest=sha256:f2782c155e4aa828f16c9095d7c67fd747f76a266cbcc1c61d1a985ff426b2a6

Pith citing papers

No inbound Pith citation observations are available.