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Paper Citation Record · LEDGER

Pointwise convergence of purely random partition estimators: from random trees to prototype rules

As of 17 August 2026, this Paper Citation Record lists 100 of 233 outbound references and 0 inbound Pith citation observations for arXiv:2608.08360.

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

pith.paper-citation-record.v1
2608.08360 v1

Coverage vector

measured 100 of 233 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:14:48.580721Z

measured 100 of 100 standing notices

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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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

100 of 233 outbound references displayed

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External citation measurements

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Outbound references

Observation 4fbc5a15-c05f-486e-beab-4304bda0946b · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 1

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Observation d742b29f-19bf-4f69-9c5e-449b8b0e69b2 · outbound

This paper cites Journal of artificial intelligence research , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Journal of artificial intelligence research , volume=

Reference 2

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source=arxiv_source observed=2026-08-12T00:14:47.978002Z digest=sha256:d50687f00c6e5c0446bbf69ac0673270d42f6017245bc61f0b284e5e138638a3

Observation 850fe5b6-b609-4ab2-9f69-d19fbf98d143 · outbound

This paper cites 1996 , publisher=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules 1996 , publisher=

Reference 3

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source=arxiv_source observed=2026-08-12T00:14:47.982945Z digest=sha256:bf517ad75e1ce00515f99b632a8b63a46dae992c5dd294618e3e9d28b1bedcc4

Observation ae782c5c-bcf5-45d9-92d0-54d364ca0c81 · outbound

This paper cites Advances in neural information processing systems , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Advances in neural information processing systems , volume=

Reference 4

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Observation de27dc4c-20fb-4e77-8dbc-f3656ec25ad8 · outbound

This paper cites Proceedings of the AAAI Conference on Artificial Intelligence , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Proceedings of the AAAI Conference on Artificial Intelligence , volume=

Reference 5

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source=arxiv_source observed=2026-08-12T00:14:47.993493Z digest=sha256:04a0349a2acea3138443fc5073749165aedd9d11c328276757e846c08859acee

Observation e1101768-4233-47d6-9bc7-a20727ef45a0 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Advances in Neural Information Processing Systems , volume=

Reference 6

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Observation 35043805-385e-4b85-8b04-68f3aac5d72a · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules 2006 , publisher=

Reference 7

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Observation 764eb364-129c-408b-a549-20b4db91ef6a · outbound

This paper cites The annals of statistics , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules The annals of statistics , pages=

Reference 8

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Observation d460be43-93aa-41e1-9222-d6a0b4c4a372 · outbound

This paper cites BAGAN: Data Augmentation with Balancing GAN.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules BAGAN: Data Augmentation with Balancing GAN

Reference 9

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Observation 726ccc08-c7a3-4c8f-bb38-864b18fb88f5 · outbound

This paper cites Exploratory Undersampling for Class-Imbalance Learning , year=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Exploratory Undersampling for Class-Imbalance Learning , year=

Reference 10

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source=arxiv_source observed=2026-08-12T00:14:48.018056Z digest=sha256:68673b748981958e4546ec8b5254e6e4056f624adec687bdce4413548011db08

Observation 16be8885-e35c-449b-bb20-a8301a91fe4c · outbound

This paper cites and Galar, M.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules and Galar, M

Reference 11

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Observation 40b80aa1-fdb9-4d06-8b08-885dda23867b · outbound

This paper cites Electronic Journal of Statistics , number =.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Electronic Journal of Statistics , number =

Reference 12

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Observation 905b2c1e-60b3-4355-b357-e97c2dcf9c55 · outbound

This paper cites Proceedings of the 30th International Conference on Machine Learning , pages =.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Proceedings of the 30th International Conference on Machine Learning , pages =

Reference 13

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Observation 369598d0-6efc-4e0c-8efc-0b448de7f20e · outbound

This paper cites International Conference on Machine Learning , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules International Conference on Machine Learning , pages=

Reference 14

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This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 15

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Observation e4c8d87b-b061-47f8-af5e-63c3951bbc61 · outbound

This paper cites Classification in general finite dimensional spaces with the.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Classification in general finite dimensional spaces with the

Reference 16

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Observation 2f70d142-dd24-4ce2-a6cd-101ad04748b9 · outbound

This paper cites , title =.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules , title =

Reference 17

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Observation 5ac596b3-27a8-453e-9dcc-b2b408c0f166 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 18

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Observation 7f612b96-d99d-4bae-900b-1550cf32ec20 · outbound

This paper cites 2021 , publisher=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules 2021 , publisher=

Reference 19

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Observation f5569e63-bb5a-4231-ab47-a12b182699c1 · outbound

This paper cites An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation , JOURNAL =.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules An exponential inequality for the distribution function of the kernel density estimator, with applications to adaptive estimation , JOURNAL =

Reference 20

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Observation 3fdc05eb-3033-4fe7-bc36-8ce8ac65405d · outbound

This paper cites Nonparametric discrimination: Consistency properties , author=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Nonparametric discrimination: Consistency properties , author=

Reference 21

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 22

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Observation 43ebe5fa-ff63-4a60-a4b6-91482339cee0 · outbound

This paper cites Theory of classification: a survey of some recent advances , JOURNAL =.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Theory of classification: a survey of some recent advances , JOURNAL =

Reference 23

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Observation b0a26489-7558-4035-a36a-e0ad781a525f · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 24

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Observation 0172d89f-dcad-420b-bd3d-2e5ecf6a71b5 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 25

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Observation a17fc4b3-b504-4bfc-827f-41a0461b36f2 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 26

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Observation 65c97a6c-c2a0-43c0-856b-0a8bfe135750 · outbound

This paper cites The Annals of Statistics , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules The Annals of Statistics , pages=

Reference 27

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Observation fa6e8156-5d62-4360-9c74-64f51005573c · outbound

This paper cites Journal of Combinatorial Theory, Series A , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Journal of Combinatorial Theory, Series A , volume=

Reference 28

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Observation b8fee0f3-3f9c-49a8-aabd-a96af4252dfc · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules The Annals of Probability , volume=

Reference 29

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Observation a7b05fc1-5f79-457f-8bf2-851c2d1a7552 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules 2023 , publisher=

Reference 30

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Observation 2ed105fa-cf47-4894-b72b-8ae1ef967a88 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Lecture Notes (Princeton University) , year=

Reference 31

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Observation 9c515b69-8ec3-4af0-b17c-53bdf916a082 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules 1991 , publisher=

Reference 32

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Observation 7ffdad1a-937d-4e24-bd65-9b131b40dbb0 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 33

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Observation 5241605d-3ad7-4fd3-aa20-bee460dee415 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 34

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Observation 0cb0972d-d83c-43dc-a0c6-c580d733c5a8 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 35

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Observation f5f54c53-30f3-4aa8-aa00-3df40b7c6578 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 36

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Theory Probab

Reference 37

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Observation 53590508-f0cb-459a-9f39-ac037d545cf7 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 38

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Observation f165037b-33a5-40e3-9ae0-faba8c684655 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 39

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Observation 295130ae-b0cf-4c3f-8d99-15a602acf7d5 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules Bernoulli , volume=

Reference 40

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Observation d8c05fd6-96e7-48b5-b8d6-75e73d2eef73 · outbound

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Pointwise convergence of purely random partition estimators: from random trees to prototype rules AISTATS proceedings , pages=

Reference 41

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source=arxiv_source observed=2026-08-12T00:14:48.300547Z digest=sha256:b6f0c3c0d37dc0ff13b1fcd8424a162687d5befc937625b5f328c18a2cb813e3

Observation 1e2f1fdd-939a-4a43-bfad-8d1316d24a3b · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 42

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source=arxiv_source observed=2026-08-12T00:14:48.305730Z digest=sha256:ef2fc17271c2580e45486e30a5a45b92ae53f9053b5c43d492fe6651ad0c5bab

Observation dad0d8ca-f852-47f3-9e7c-eec9fe4dd628 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 43

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source=arxiv_source observed=2026-08-12T00:14:48.310494Z digest=sha256:5fa465cf934380613729832bb452c4565f38f2deebe45e80621717509a8180cd

Observation c09ed34c-94da-4294-b86c-f059639996d5 · outbound

This paper cites Electron.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Electron

Reference 44

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source=arxiv_source observed=2026-08-12T00:14:48.315295Z digest=sha256:aa91fd35a5bf453ae89dac52f6e4c2eff7b49a132a2140463d974cf50950d6c4

Observation d180aa2a-c323-4d8e-b039-050e388aa939 · outbound

This paper cites 1966 , PAGES =.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules 1966 , PAGES =

Reference 45

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source=arxiv_source observed=2026-08-12T00:14:48.319940Z digest=sha256:cd5a01bda5a8326a99e8ac9412424ac8ffe1c246606959d7eb96d7ae0bde18d2

Observation d7f743e1-a705-4108-8a05-30d58b8e4f25 · outbound

This paper cites Principles of nonparametric learning , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Principles of nonparametric learning , pages=

Reference 46

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source=arxiv_source observed=2026-08-12T00:14:48.324565Z digest=sha256:fa936e722ec99332764ee10c50c3b1119a327802643f4752b621f8d852d51f2e

Observation 684500e0-d375-4e88-aaed-7b788dd54fe2 · outbound

This paper cites Statistics & Probability Letters , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Statistics & Probability Letters , volume=

Reference 47

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source=arxiv_source observed=2026-08-12T00:14:48.329581Z digest=sha256:4c745c1c96131ae1933d432c277eb33e5517fd65561dd652c70bbeb6964c0b0b

Observation 5679f517-8207-48c1-907d-78840a510931 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 48

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source=arxiv_source observed=2026-08-12T00:14:48.334242Z digest=sha256:f88d82de52829aca57a1974eacf12f8933dfbcce74708f9277bb6c8fbb109a41

Observation 08673cb7-2412-4956-92d1-b158e47960f2 · outbound

This paper cites 1981 , journal=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules 1981 , journal=

Reference 49

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source=arxiv_source observed=2026-08-12T00:14:48.338810Z digest=sha256:a03ad9a74f673b779cb7ce089cb8e020181569a86edfbd5b4e95fbfc595954f0

Observation c54e4420-8045-4cfe-a8ac-3d930013d7a2 · outbound

This paper cites IEEE Trans.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules IEEE Trans

Reference 50

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source=arxiv_source observed=2026-08-12T00:14:48.343289Z digest=sha256:8a60418b21544fb2dfa63b71d3d40b66e62a0aeb3f80d3f493b276a95baa8227

Observation f6e39ce6-c533-4512-b81b-fdbfb4aee397 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-08-12T00:14:48.347237Z digest=sha256:71307b830c5d54a1312caa115eeeeee398f023f0bc74702285c4949be0d8bfbf

Observation 78dc7cb6-80ec-4d31-86ba-4591eeba74bc · outbound

This paper cites The rate of convergence of k_n -.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules The rate of convergence of k_n -

Reference 52

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source=arxiv_source observed=2026-08-12T00:14:48.351233Z digest=sha256:0452d20d224992283c2ab9df7149a35e89312367c52772d54293d744ce286042

Observation 1ce42c2d-2672-4793-85e1-fbf41936ab35 · outbound

This paper cites Asymptotic normality of multivariate k -.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Asymptotic normality of multivariate k -

Reference 53

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source=arxiv_source observed=2026-08-12T00:14:48.357334Z digest=sha256:de841317e082eccbf5401b4698d0dfa7c1b3ea884cfb1801ed741e686fbb4edd

Observation 271015a3-0b7c-45b8-8f4d-2807f3a3b387 · outbound

This paper cites Statistical Decision Theory and Related Topics , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Statistical Decision Theory and Related Topics , pages=

Reference 54

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source=arxiv_source observed=2026-08-12T00:14:48.362027Z digest=sha256:05e82732a98b4ba4f3381979e63ce240a7f2f5badd86bc7fc3d42b732b4b3751

Observation 5ab8a86b-bcef-403f-9a4b-ca6d0f1fa4e6 · outbound

This paper cites IEEE Trans.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules IEEE Trans

Reference 55

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source=arxiv_source observed=2026-08-12T00:14:48.366979Z digest=sha256:5d285e4f2899f96d4f9e02d2cafae06ff0d018cd21636b39e7551651812dd643

Observation b41de2e9-fa1b-417e-b3e6-1298cc6e62a3 · outbound

This paper cites Nearest neighbor empirical processes.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Nearest neighbor empirical processes

Reference 56

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source=arxiv_source observed=2026-08-12T00:14:48.371642Z digest=sha256:7987084854763f8da979905ca2c6d149e6f6b9fa56bb120559c955c3c591d950

Observation 97e46200-e903-485b-9dfd-2ddabe3d94f0 · outbound

This paper cites Pattern Classification and Learning Theory.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Pattern Classification and Learning Theory

Reference 57

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source=arxiv_source observed=2026-08-12T00:14:48.377393Z digest=sha256:14095e2baf20ed5b53f7276353093203653f71d7ae9b9891deb71d56a96a7d32

Observation e0ce71de-d934-4143-8b3d-3a445d61280a · outbound

This paper cites 1990 , publisher=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules 1990 , publisher=

Reference 58

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source=arxiv_source observed=2026-08-12T00:14:48.382856Z digest=sha256:7a9074757395d9ee22b1d5dc34fc5436eb4316b2092d3427b9fe4340fdd4c795

Observation 0a95c6fd-5f9a-463e-8327-2250cae72086 · outbound

This paper cites Conference on Learning Theory , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Conference on Learning Theory , pages=

Reference 59

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source=arxiv_source observed=2026-08-12T00:14:48.387537Z digest=sha256:14729e82af87b695c394971afaaa0d3f9151de9737b489c944e41222af75752b

Observation 75376844-a8df-4a05-9344-721591c7ddd7 · outbound

This paper cites A result of.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules A result of

Reference 60

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source=arxiv_source observed=2026-08-12T00:14:48.392126Z digest=sha256:31698eb07db95791ac2298873103346bc677b9922b16ee101886299f5d9e7bd8

Observation 643b0650-33d8-4647-bf47-994267b12e3d · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 61

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source=arxiv_source observed=2026-08-12T00:14:48.396664Z digest=sha256:d24d7a9eefd44b33db796983dfb1c44f3531abc24b47c24df518b553a72b406b

Observation 416a3284-4530-40b2-87e0-091f09dff752 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-12T00:14:48.401274Z digest=sha256:6ee7687fab3a772baa92b78457eeeac57e9c6a666f6e4116788cecc9787e3704

Observation 9cf42589-220d-46c6-9322-037eff85cf84 · outbound

This paper cites Electron.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Electron

Reference 63

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source=arxiv_source observed=2026-08-12T00:14:48.406133Z digest=sha256:eac4e0088ab48a13fdee4806cd9b81a772a8583d25ea42f9ba7bfc1da7b3ce39

Observation 7b69a37c-696c-4e9f-9100-b6e476d3a2ea · outbound

This paper cites Computational Statistics & Data Analysis , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Computational Statistics & Data Analysis , volume=

Reference 64

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source=arxiv_source observed=2026-08-12T00:14:48.411773Z digest=sha256:452e67e8f7de242ad128ff0ec9ba5cce12c58d84b4023989fbc04b118d6cd63b

Observation 1088c342-3acc-4acd-9ebc-99c6702da892 · outbound

This paper cites simplifying.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules simplifying

Reference 65

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source=arxiv_source observed=2026-08-12T00:14:48.416460Z digest=sha256:0922f745d128a4215b3b454ca0ccaffa81802fec298b6e87d04d407303bb8c6d

Observation a9695f0d-0ed5-45eb-86c9-1735fb091f00 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 66

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source=arxiv_source observed=2026-08-12T00:14:48.420653Z digest=sha256:7764ca0a56fef18a7a1f18bd72f7f5114003fab16d1f0ae9b2281860c1ed53c9

Observation 77a5d184-ee32-4402-9301-d1e60f0d5993 · outbound

This paper cites Local properties of k -.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Local properties of k -

Reference 67

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source=arxiv_source observed=2026-08-12T00:14:48.424874Z digest=sha256:8a792ab740a47105480fc9dd0606ab8ac383bbe7e554f41e0eea7cb25d3fd0e7

Observation 06872827-1e74-4f75-a164-921bd5e0e6e0 · outbound

This paper cites NeurIPS proceedings , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules NeurIPS proceedings , pages=

Reference 68

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source=arxiv_source observed=2026-08-12T00:14:48.429320Z digest=sha256:b08a52627a9eec6ee4d41e9235cb5043e642510e315a6e59d31982149653070f

Observation ccf0785d-9756-4327-a0e5-d98ad24df315 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 69

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source=arxiv_source observed=2026-08-12T00:14:48.433585Z digest=sha256:03efbe7b800eb4ce3f2643c8e72ea4213c542f314e275dd5887db109108d3b62

Observation a97d1383-f1f0-43ac-8cd5-e0beae716f23 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 70

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source=arxiv_source observed=2026-08-12T00:14:48.438596Z digest=sha256:02566a41d31fa2fd2a4c5a5c5764f45071694d1cb6018e4fc248b637c4676a93

Observation fd74bb2c-a6e8-4f6e-a06e-a74355fea815 · outbound

This paper cites NeurIPS proceedings , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules NeurIPS proceedings , volume=

Reference 71

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source=arxiv_source observed=2026-08-12T00:14:48.443430Z digest=sha256:6c9d23025064ef1728542ba6b3dfa6028997321ad097498aa925ba1bfcd4766d

Observation adb3ced1-b492-4d4b-a671-ae8d763bc86a · outbound

This paper cites Journal of Multivariate Analysis , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Journal of Multivariate Analysis , volume=

Reference 72

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source=arxiv_source observed=2026-08-12T00:14:48.447723Z digest=sha256:90ebde3a3275b186d9a3bdad86372cef746c4b7c0c4764d55a94232507f9e43f

Observation 4acfd7de-f848-419e-85f2-df9b21181736 · outbound

This paper cites , author=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules , author=

Reference 73

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source=arxiv_source observed=2026-08-12T00:14:48.452343Z digest=sha256:688e6b8994a70e033b6d13a58e75c4ef2f1729385fe542003f0b53bcfe1f25e0

Observation eb0bd0c1-7d2c-40cc-a285-af6724597929 · outbound

This paper cites Test , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Test , volume=

Reference 74

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source=arxiv_source observed=2026-08-12T00:14:48.457100Z digest=sha256:ef27728fa4da3acfcaa800d50ec6034601bfe67de4db01f24a61eb0c08ea6a84

Observation 3de85812-1100-4f4b-8d11-1a96adce5deb · outbound

This paper cites Lectures on the nearest neighbor method , SERIES =.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Lectures on the nearest neighbor method , SERIES =

Reference 75

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source=arxiv_source observed=2026-08-12T00:14:48.462436Z digest=sha256:823130f64cfdfcaac57913d444de790fb1a007d45f2926a8ebec249672b238c6

Observation 0d5af443-5a85-4e44-81a3-c6abb50f56bc · outbound

This paper cites Non-asymptotic uniform rates of consistency for k -.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Non-asymptotic uniform rates of consistency for k -

Reference 76

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source=arxiv_source observed=2026-08-12T00:14:48.467123Z digest=sha256:b40d6bb0d14b402ff0ad7d9aac516ebbd51176cc0d5fa7dc17e8ea6b2cab16ff

Observation a5211def-90e1-453c-9ae0-9e04d036c23a · outbound

This paper cites Wiley Interdisciplinary Reviews: Computational Statistics , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Wiley Interdisciplinary Reviews: Computational Statistics , volume=

Reference 77

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source=arxiv_source observed=2026-08-12T00:14:48.471815Z digest=sha256:1d7317e19956877becd8c2b9d9e7de9a88ebf4a33266494690781c536f8e5981

Observation 94f17fd7-d2a3-40db-83f2-0f52cbbbc6d4 · outbound

This paper cites Probability Theory and Related Fields , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Probability Theory and Related Fields , volume=

Reference 78

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source=arxiv_source observed=2026-08-12T00:14:48.476183Z digest=sha256:584ea866dc013a59dc60784fff13eb5095e0bd5259676b8b0f3f003f7eadf9b0

Observation a3060f34-93e7-4f48-99fe-4097a0727d94 · outbound

This paper cites Some special.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Some special

Reference 79

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source=arxiv_source observed=2026-08-12T00:14:48.480953Z digest=sha256:899d71bd1a6b9c62948a8bb1cf2f6b9362fa812d05761d559662fc7739469e0d

Observation 5d1f1d36-d0cd-4036-abb1-d5e321837de5 · outbound

This paper cites NeurIPS proceedings , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules NeurIPS proceedings , pages=

Reference 80

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source=arxiv_source observed=2026-08-12T00:14:48.485311Z digest=sha256:979a5427914cc89815f6fb9f19d01b36ce956f80b345ae4845176f1cad2d3597

Observation 0492d8a2-8eca-45b0-ba37-0d3a55a26b8d · outbound

This paper cites Biometrics , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Biometrics , pages=

Reference 81

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source=arxiv_source observed=2026-08-12T00:14:48.490137Z digest=sha256:a1e6195b307dbbd7847c6544a5df7c021d9fe07e5572c72827e58afe60557c4f

Observation 50f7d8fd-722f-40ef-b78c-75a9e66b14be · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 82

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source=arxiv_source observed=2026-08-12T00:14:48.494841Z digest=sha256:32ecfdf6e925f5fe26a667b9261370269a5efb25ad58f3f398351e8814216dd8

Observation 0167c4fa-0133-459b-b601-44cfea299810 · outbound

This paper cites Journal of Theoretical Probability , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Journal of Theoretical Probability , volume=

Reference 83

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source=arxiv_source observed=2026-08-12T00:14:48.499837Z digest=sha256:e99b2692ad05515806562bc07c4bb295b8287b52bdc79d0d74ce031b053027a8

Observation 9aa65393-20d1-44f8-a2d3-2b326cace6d1 · outbound

This paper cites 2015 , publisher=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules 2015 , publisher=

Reference 84

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source=arxiv_source observed=2026-08-12T00:14:48.504559Z digest=sha256:9d8db997b12e3e846be61a0fcafb9fb3abb477e02453340a1b7a9418a0b944e6

Observation cbf0f2ed-3d87-4089-8a39-bf41d8476eaa · outbound

This paper cites Neuroimage , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Neuroimage , volume=

Reference 85

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source=arxiv_source observed=2026-08-12T00:14:48.509511Z digest=sha256:93e6c16679f590c5e741f59bb431cc0bbe45139526f5c99e8a602ddc7cdd0454

Observation fb65d182-65d7-4e0f-911d-761c0f5a7a10 · outbound

This paper cites Nature communications , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Nature communications , volume=

Reference 86

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source=arxiv_source observed=2026-08-12T00:14:48.514766Z digest=sha256:cf9fa86c33b2a1e95c8f569b8f3941ea6eb20f8b14c10f5e4417c33274223f1a

Observation 6a142a8c-b819-4e42-8b61-bce13cadc469 · outbound

This paper cites Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Journal of the Royal Statistical Society: Series B (Statistical Methodology) , volume=

Reference 87

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source=arxiv_source observed=2026-08-12T00:14:48.520676Z digest=sha256:ae177a5ea1f4a35ef4df2760e2216bd779d26782d6518ec797d9c04a68c2ebe8

Observation f13f8d82-4a91-43ee-8348-b4a13170d3b9 · outbound

This paper cites 2018 , publisher=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules 2018 , publisher=

Reference 88

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source=arxiv_source observed=2026-08-12T00:14:48.525441Z digest=sha256:ffd3caba31eeafd393e4417a9b41fca7503a5fcdf9fbf0ce0f19a8d35431d8ef

Observation 8e4d120a-764f-44ef-b832-24022f7788b6 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 89

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source=arxiv_source observed=2026-08-12T00:14:48.530315Z digest=sha256:f06754e7c9e30be8cfe7ce83c7495b162c953e473f2316681501f66e85093a70

Observation 2aa17a08-af7d-482a-9b89-4e45b95aa20c · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 90

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source=arxiv_source observed=2026-08-12T00:14:48.534907Z digest=sha256:680682c42f64821e03a3651f07f73603a7c82ea06c96dac602279b39eb5e6a7d

Observation 8a3df20f-1970-4c6f-b384-10936f945a31 · outbound

This paper cites Journal of Business & Economic Statistics , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Journal of Business & Economic Statistics , volume=

Reference 91

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source=arxiv_source observed=2026-08-12T00:14:48.539741Z digest=sha256:b79705a9d27dcbb4fb2078bc16f943899a0876841228348f291b8b301dba7341

Observation a374466a-2de1-4bb8-8652-8d88b626a528 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 92

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source=arxiv_source observed=2026-08-12T00:14:48.544504Z digest=sha256:3c7791cfd3a4220d599fde62689a8235e2ee41826b2733a6b5227208cc7c58d2

Observation 16837249-987f-4020-8430-62ba1107d555 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 93

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source=arxiv_source observed=2026-08-12T00:14:48.548643Z digest=sha256:50f8c6566a015df7003dad2d5137788c93ed3f3c499c2c731813af46b578fb52

Observation 9c7222fb-87b6-4897-8918-69e2c3e0fa5a · outbound

This paper cites , author=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules , author=

Reference 94

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source=arxiv_source observed=2026-08-12T00:14:48.552898Z digest=sha256:e4dbaa6bfd4204bcc2bdda40441ce69d148f3efb8e7f80373c0773273e4bddb3

Observation 2fce7b39-9e5f-432d-91d6-65f861b422d4 · outbound

This paper cites BMC bioinformatics , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules BMC bioinformatics , volume=

Reference 95

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source=arxiv_source observed=2026-08-12T00:14:48.557691Z digest=sha256:cac516f5e407e9f100fb39dae7f5b06d19f01250d3e8e5eec452268e2b53a467

Observation b8b8b49f-8d43-433d-808a-2a066c82e33d · outbound

This paper cites Applied Psychological Measurement , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Applied Psychological Measurement , volume=

Reference 96

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source=arxiv_source observed=2026-08-12T00:14:48.561937Z digest=sha256:09c1f636ffc418c68634ccefe7d5ff70f211e2189f406975f441bad25464c2bb

Observation c41da8f4-f521-41b2-a7d8-ef0cda33abf3 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 97

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source=arxiv_source observed=2026-08-12T00:14:48.566175Z digest=sha256:2965a77dd05e5025c452e5b9e2da723380e07fa2dad6dd3830880ffc4cfcf1da

Observation 5925fe0d-930e-4240-9945-61ccff669cfa · outbound

This paper cites Statistics and Computing , volume=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Statistics and Computing , volume=

Reference 98

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source=arxiv_source observed=2026-08-12T00:14:48.571241Z digest=sha256:5f3417a18f9ac7405edd9fc0e5c1b25d7040995147fb95520e1f3ba4816fe0b5

Observation 8e024fbd-91d5-49e2-b33b-d65bab0439ad · outbound

This paper cites Monte Carlo and Quasi-Monte Carlo Methods , pages=.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Monte Carlo and Quasi-Monte Carlo Methods , pages=

Reference 99

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source=arxiv_source observed=2026-08-12T00:14:48.575967Z digest=sha256:d65b348356502da22ac84d1cb945c11cce1513b4902047bc66a7506fbb6c2b0a

Observation 70ff1434-1331-4734-8532-246420843ff5 · outbound

This paper cites an unresolved cited work.

Pointwise convergence of purely random partition estimators: from random trees to prototype rules Unresolved cited work

Reference 100

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source=arxiv_source observed=2026-08-12T00:14:48.580721Z digest=sha256:f6b1ba959ce2bd9f1acc7b39c61902d9f8069686d34d7417a7a52a2768e22d2f

Pith citing papers

No inbound Pith citation observations are available.