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Paper Citation Record · LEDGER

Non-partitioned e-detectors for nonparametric sequential change detection

As of 18 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2607.28322.

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

pith.paper-citation-record.v1
2607.28322 v1

Coverage vector

measured 79 of 79 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T11:22:13.533697Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

79 of 79 outbound references displayed

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External citation measurements

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Outbound references

Observation 08cc3031-90dc-40aa-9dcb-5db1c98d1cf2 · outbound

This paper cites 2014 , publisher=.

Non-partitioned e-detectors for nonparametric sequential change detection 2014 , publisher=

Reference 1

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Observation 54b9bb34-33af-4863-83cc-ad0a39df89da · outbound

This paper cites Annals of Stat.

Non-partitioned e-detectors for nonparametric sequential change detection Annals of Stat

Reference 2

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Observation 37f4ba30-8ff2-4700-8e4f-33371547bb3a · outbound

This paper cites Reverse Information Projections and Optimal E-Statistics , year=.

Non-partitioned e-detectors for nonparametric sequential change detection Reverse Information Projections and Optimal E-Statistics , year=

Reference 3

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Non-partitioned e-detectors for nonparametric sequential change detection , title = "

Reference 4

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Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

Reference 5

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Observation 882ee192-2af6-456d-b1c3-6bce154284a5 · outbound

This paper cites The Annals of Statistics , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Statistics , volume=

Reference 6

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Observation aa189e85-1725-4059-b018-cc0d9d818f09 · outbound

This paper cites Fast and Optimal Changepoint Detection and Localization using.

Non-partitioned e-detectors for nonparametric sequential change detection Fast and Optimal Changepoint Detection and Localization using

Reference 7

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This paper cites The Annals of Statistics , year=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Statistics , year=

Reference 8

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Observation 0c6a3b14-4e51-4f72-9a7b-a76c39834bd4 · outbound

This paper cites Journal of the American Statistical Association , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection Journal of the American Statistical Association , volume=

Reference 9

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Observation 9bafbad3-e817-4e27-99c9-b5722108b16b · outbound

This paper cites Biometrika , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection Biometrika , volume=

Reference 10

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Observation 9128fb97-154f-48a9-96a5-6e0b5c1a1e46 · outbound

This paper cites Theory of Probability & Its Applications , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection Theory of Probability & Its Applications , volume=

Reference 11

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Observation 94cbc558-a130-427a-830a-e5bf45e81022 · outbound

This paper cites Technometrics , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection Technometrics , volume=

Reference 12

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Observation bf0d2596-e5a6-43d1-88fe-a9f659ea5bdf · outbound

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Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Mathematical Statistics , year=

Reference 13

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Observation aca7cf72-ee48-4726-ba9c-1e40eb00b102 · outbound

This paper cites The Annals of Statistics , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Statistics , pages=

Reference 14

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Observation a03276ee-f7f4-42fc-ae81-5059cbb6094c · outbound

This paper cites The New England Journal of Statistics in Data Science , volume =.

Non-partitioned e-detectors for nonparametric sequential change detection The New England Journal of Statistics in Data Science , volume =

Reference 15

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Non-partitioned e-detectors for nonparametric sequential change detection Neural Information Proc

Reference 16

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This paper cites The Annals of Statistics , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Statistics , volume=

Reference 17

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Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

Reference 18

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Observation b92323c2-e4cf-4016-904f-393305bc20f0 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of the National Academy of Sciences , volume=

Reference 19

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This paper cites The Annals of Statistics , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Statistics , volume=

Reference 20

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Observation b9317552-b07c-4129-ab1a-bb3c1e47c1c7 · outbound

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Non-partitioned e-detectors for nonparametric sequential change detection Reducing sequential change detection to sequential estimation

Reference 21

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Non-partitioned e-detectors for nonparametric sequential change detection , title =

Reference 22

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Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

Reference 23

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Non-partitioned e-detectors for nonparametric sequential change detection Statistical Science , year=

Reference 24

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Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of Thirty Sixth Conference on Learning Theory , pages =

Reference 25

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Non-partitioned e-detectors for nonparametric sequential change detection Sequential Analysis , volume =

Reference 26

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Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

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Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

Reference 28

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Non-partitioned e-detectors for nonparametric sequential change detection Sequential Analysis , volume =

Reference 29

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Non-partitioned e-detectors for nonparametric sequential change detection Sequential Analysis , volume =

Reference 30

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Non-partitioned e-detectors for nonparametric sequential change detection Sequential Analysis , volume =

Reference 31

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Observation b8d52333-64ec-4c62-8572-ff73c9f2ff82 · outbound

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Non-partitioned e-detectors for nonparametric sequential change detection Annals of the Institute of Statistical Mathematics , volume =

Reference 32

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Non-partitioned e-detectors for nonparametric sequential change detection 2007 , publisher=

Reference 33

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Non-partitioned e-detectors for nonparametric sequential change detection 1986 , publisher=

Reference 34

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Observation 2653d889-b060-433a-9c92-cab1df613a79 · outbound

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Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

Reference 35

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Observation 524ea5ee-3a8c-4940-844c-0e96a78bfe29 · outbound

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Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

Reference 36

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Observation da9eabf5-2b33-49d5-9070-b8a13213c7d3 · outbound

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Non-partitioned e-detectors for nonparametric sequential change detection Foundations and Trends in Statistics , volume =

Reference 37

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Non-partitioned e-detectors for nonparametric sequential change detection International Journal of Approximate Reasoning , volume=

Reference 38

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Observation 7edf0ec1-0d32-4df3-a57d-ade6064658c0 · outbound

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Non-partitioned e-detectors for nonparametric sequential change detection Universal

Reference 39

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Non-partitioned e-detectors for nonparametric sequential change detection Journal of the Royal Statistical Society Series B (Methodology), with discussion , year=

Reference 40

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Observation 848577e3-a67d-4806-8fa3-c59d236e3f7f · outbound

This paper cites Huber-Robust Likelihood Ratio Tests for Composite Nulls and Alternatives , year=.

Non-partitioned e-detectors for nonparametric sequential change detection Huber-Robust Likelihood Ratio Tests for Composite Nulls and Alternatives , year=

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source=arxiv_source observed=2026-07-31T11:22:12.022608Z digest=sha256:f2045ccfc07b3b3cd12ef06a99cfd564ce56e09f2bb0ad95c4cd4bc2fba44975

Observation 17428905-ec06-4f0b-9a09-782f41d3eb37 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection International Conference on Artificial Intelligence and Statistics , pages=

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source=arxiv_source observed=2026-07-31T11:22:12.068894Z digest=sha256:a332ab34e3c5615b583570f59c758677e6dce130c611aa0c503d3a14f58d7f21

Observation 4f417ba1-d800-4efe-a081-a46efaed1e6b · outbound

This paper cites Time-uniform.

Non-partitioned e-detectors for nonparametric sequential change detection Time-uniform

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source=arxiv_source observed=2026-07-31T11:22:12.131154Z digest=sha256:10b3e9412895086b59b5c95e2d728c6f9a2c6db7f4807a08c983cbbd24ba5705

Observation e28e4fcc-0927-436d-98d1-622dbf2701c6 · outbound

This paper cites The Annals of Mathematical Statistics , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Mathematical Statistics , pages=

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source=arxiv_source observed=2026-07-31T11:22:12.204371Z digest=sha256:8c17bdf6a40ca31a5ba5741357fe94c749a9aa6b2b314c8603e9f9d5f3210d0a

Observation 69eef23b-25e4-4cf7-8917-97b449c72cf7 · outbound

This paper cites Proceedings of the 2013 conference on empirical methods in natural language processing , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of the 2013 conference on empirical methods in natural language processing , pages=

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source=arxiv_source observed=2026-07-31T11:22:12.286146Z digest=sha256:0464a3558a13675463be4fde0482d562ccbc6273bb0bbe721e7a288bf264cea0

Observation 3b407d29-7fd0-42a4-91fc-55891f677eb2 · outbound

This paper cites Minimax tests and the.

Non-partitioned e-detectors for nonparametric sequential change detection Minimax tests and the

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source=arxiv_source observed=2026-07-31T11:22:12.365570Z digest=sha256:78e50d53d73c6cf5f08c104ec789a4a3b8c57d3f6aa2b534500caf16b7be5387

Observation 941c1de0-4ddc-4c3d-a904-01076d874f0c · outbound

This paper cites an unresolved cited work.

Non-partitioned e-detectors for nonparametric sequential change detection Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-07-31T11:22:12.428194Z digest=sha256:5957b8feb6693fc6f09fd0c28048282ba4003cc67b96fe6239d5b2d11cf0f087

Observation bce06bed-9c74-48bb-babb-8f9c4bce1f3c · outbound

This paper cites Econometrica: Journal of the Econometric Society , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection Econometrica: Journal of the Econometric Society , pages=

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source=arxiv_source observed=2026-07-31T11:22:12.510663Z digest=sha256:fdb95798a3493069c9b39385e69d2172fa55e45a2b4e19b93d2b49426db741c4

Observation f1e996a5-92d2-4365-b4be-9d4d6654b4bb · outbound

This paper cites Sequential change point tests based on.

Non-partitioned e-detectors for nonparametric sequential change detection Sequential change point tests based on

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source=arxiv_source observed=2026-07-31T11:22:12.602390Z digest=sha256:abe9f592a349dc94970eae902fde765770f737a586b7417f05afb80b597bb1d4

Observation cb37eed1-4bff-429c-821f-62b98c6cee9d · outbound

This paper cites The state of cumulative sum sequential changepoint testing 70 years after.

Non-partitioned e-detectors for nonparametric sequential change detection The state of cumulative sum sequential changepoint testing 70 years after

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source=arxiv_source observed=2026-07-31T11:22:12.684818Z digest=sha256:51553e6d8d5c15949509357f0175c99e645ed13c566c4ebbe79dcc016371f609

Observation 40ac60b6-b2dd-4001-8c5d-9a0a5fce0deb · outbound

This paper cites The Annals of Statistics , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Statistics , volume=

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source=arxiv_source observed=2026-07-31T11:22:12.723598Z digest=sha256:b8b16b2f2f96921d54d673094d473a8a385fab301005ffaf8721d58a3b746221

Observation 58090964-bfda-4ee2-b9f5-eb142b94c301 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection IEEE Transactions on Information Theory , volume=

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source=arxiv_source observed=2026-07-31T11:22:12.726139Z digest=sha256:5fafa0363e659ae8b2b09c6f99df18f9e2903a7da27c7c9338c206ee51e8b2c2

Observation b2078b2b-9513-465a-ac15-18cbfd9c8aef · outbound

This paper cites Statistica Sinica , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection Statistica Sinica , pages=

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source=arxiv_source observed=2026-07-31T11:22:12.746697Z digest=sha256:33521db4b462ce43a3be729421a86247382f887f39847f23927dedb2cd70c16c

Observation 457141c5-0c7d-4df8-9c8a-988da7737bd7 · outbound

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

Non-partitioned e-detectors for nonparametric sequential change detection International Conference on Machine Learning , pages=

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source=arxiv_source observed=2026-07-31T11:22:12.864120Z digest=sha256:600e828483ad4f0c2527816211582f8a472add4be597b2bbd1495cf35a5b7c37

Observation 357d1a5e-e786-4840-895c-a4d4fa202200 · outbound

This paper cites Conformal and Probabilistic Prediction and Applications , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection Conformal and Probabilistic Prediction and Applications , pages=

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source=arxiv_source observed=2026-07-31T11:22:12.994678Z digest=sha256:73464845ed318ba40155ccd82e39f97288c9c26bd684df193386eff58c095b59

Observation 0dc61552-612c-4c0d-91be-9023ea67595f · outbound

This paper cites Proceedings of the 20th.

Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of the 20th

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source=arxiv_source observed=2026-07-31T11:22:13.073941Z digest=sha256:bf2486d1a54677ab88adf3bbf5c10c454b7f453a243b090258ee4a73a642d982

Observation 2b73362d-de45-41a7-baf1-ea1e6685c0e0 · outbound

This paper cites Power one sequential tests for.

Non-partitioned e-detectors for nonparametric sequential change detection Power one sequential tests for

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source=arxiv_source observed=2026-07-31T11:22:13.284641Z digest=sha256:d443d28c25abb75aaefce93f4e43b72e9931637e9c6b3f807e443930dd773df3

Observation a8bf097c-4a3f-431d-ba6a-443c70c0db31 · outbound

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

Non-partitioned e-detectors for nonparametric sequential change detection Journal of the Royal Statistical Society Series B: Statistical Methodology , pages=

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source=arxiv_source observed=2026-07-31T11:22:13.461527Z digest=sha256:29716abb830b0df4b9cbf24668c8cc055d576bc8db8a00023262362a2bdd98be

Observation cf42b093-f8e1-4145-8f3e-6144bb6a2a2e · outbound

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

Non-partitioned e-detectors for nonparametric sequential change detection Journal of the Royal Statistical Society Series B: Statistical Methodology , year =

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source=arxiv_source observed=2026-07-31T11:22:13.486605Z digest=sha256:8d5e0b668700634f5f85c908f8e41d788ee7a02539d04edb554da86baf48a9e6

Observation de0b9739-3e35-4cdd-bc53-79b073661924 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection IEEE Transactions on Information Theory , volume=

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source=arxiv_source observed=2026-07-31T11:22:13.489213Z digest=sha256:b0201deae8d449bee53a4e4130225c33bcb8ce66d9c5fbb604a77d612958d47f

Observation 72d96291-7ab0-4ad3-9468-bd0018107ded · outbound

This paper cites Sequential Analysis , year=.

Non-partitioned e-detectors for nonparametric sequential change detection Sequential Analysis , year=

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source=arxiv_source observed=2026-07-31T11:22:13.491841Z digest=sha256:e1047b0cd8250301eda64ced1e48912dc44cd549bd11dc94fc57268492fe972d

Observation 1a896f45-da85-4f05-b3c3-4aea976c339f · outbound

This paper cites The Annals of Statistics , pages=.

Non-partitioned e-detectors for nonparametric sequential change detection The Annals of Statistics , pages=

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source=arxiv_source observed=2026-07-31T11:22:13.494173Z digest=sha256:ed4f1e51958907d3ca14aa919b4def3131b7ca84c0710af4799077281d85f8ca

Observation 8b934247-41ab-470a-88cc-d36321a6ccb2 · outbound

This paper cites Mathematical Finance , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection Mathematical Finance , volume=

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source=arxiv_source observed=2026-07-31T11:22:13.496546Z digest=sha256:efb54bedc19e00f9b69fd5ab7653137463b3a874eabb1e169ecb4a327d557556

Observation cdf3daf7-1778-4b12-9804-a156db512291 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection IEEE Transactions on Information Theory , volume=

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source=arxiv_source observed=2026-07-31T11:22:13.498957Z digest=sha256:bf4624ef88e53e477811faf7dda7530e498569f97d8c023fcbc3f22953ea5408

Observation d321ab29-2efb-497a-9b70-323a50931421 · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Non-partitioned e-detectors for nonparametric sequential change detection IEEE Transactions on Information Theory , volume=

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source=arxiv_source observed=2026-07-31T11:22:13.501263Z digest=sha256:18ab779ed46a1d8488ed06d85453d2a1be3032a9616f0cf940b2c649e2a09e0e

Observation 766a7db5-3e26-4b61-8a51-1111686d7fc8 · outbound

This paper cites On the near-optimality of betting confidence sets for bounded means.

Non-partitioned e-detectors for nonparametric sequential change detection On the near-optimality of betting confidence sets for bounded means

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source=arxiv_source observed=2026-07-31T11:22:13.503644Z digest=sha256:8f22fed18bb8e33a5c523d69ad3964e464edd7edbaa691f06ad152f3960327a8

Observation e0caf6b5-a610-4c73-8b45-c24d3cd732ca · outbound

This paper cites Proceedings of the 37th International Conference on Machine Learning , series=.

Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of the 37th International Conference on Machine Learning , series=

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source=arxiv_source observed=2026-07-31T11:22:13.506505Z digest=sha256:0ab3997e093783c40bc26069395bced8d454494e01a01fe960d597335b0466bc

Observation 095362cb-9fdd-4b67-8ae4-c31b61229b43 · outbound

This paper cites Sequential Change Detection through Empirical Distribution and Universal Codes.

Non-partitioned e-detectors for nonparametric sequential change detection Sequential Change Detection through Empirical Distribution and Universal Codes

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source=arxiv_source observed=2026-07-31T11:22:13.508695Z digest=sha256:6dbe2815d2fdcd655dabd6151b5a1ffa5a9d673ecf68a206ef7fe622ec2d9213

Observation f6e31069-a204-4d3a-b261-878b137e7cab · outbound

This paper cites arXiv preprint arXiv:2510.26204 , year=.

Non-partitioned e-detectors for nonparametric sequential change detection arXiv preprint arXiv:2510.26204 , year=

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source=arxiv_source observed=2026-07-31T11:22:13.511321Z digest=sha256:c097644e79339403297e29363cba74a1ac81cf1a6c5fe0c2cbef8853f45ba398

Observation e754e840-815e-4403-b0a5-1c6648bb8587 · outbound

This paper cites , journal=.

Non-partitioned e-detectors for nonparametric sequential change detection , journal=

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source=arxiv_source observed=2026-07-31T11:22:13.513740Z digest=sha256:ffe351f42ff76296dd84d639c39405b0c0d599561cfe98f391ce5cdf694adc2a

Observation 78f221c0-6fff-4561-ad7f-4f7eca14a00d · outbound

This paper cites and Zou, Shaofeng , journal=.

Non-partitioned e-detectors for nonparametric sequential change detection and Zou, Shaofeng , journal=

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source=arxiv_source observed=2026-07-31T11:22:13.515980Z digest=sha256:eef03533b1fb94d33c2888b5664e0a7bbd98237b5e3d6b8c5a67dc8f80a5f173

Observation 9e36dc24-449e-4d14-b79d-1fb97d763aa2 · outbound

This paper cites Proceedings of the 26th International Conference on Artificial Intelligence and Statistics , series=.

Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of the 26th International Conference on Artificial Intelligence and Statistics , series=

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source=arxiv_source observed=2026-07-31T11:22:13.518207Z digest=sha256:94ac469cbc903661eb1ce1e4a64627945142bdcb8bacfaab11c56c09d9135861

Observation c3c1f365-f9a0-4374-b00d-644842dbd7c5 · outbound

This paper cites Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence , series=.

Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of the 39th Conference on Uncertainty in Artificial Intelligence , series=

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source=arxiv_source observed=2026-07-31T11:22:13.520360Z digest=sha256:87708ad3150f763debcc83664fecb3085cc57494c2de9b699d718788ae2b2576

Observation 0160fe29-667d-4dc0-8afc-df1340764d0e · outbound

This paper cites and Fearnhead, Paul and Rigaill, Guillem , journal=.

Non-partitioned e-detectors for nonparametric sequential change detection and Fearnhead, Paul and Rigaill, Guillem , journal=

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source=arxiv_source observed=2026-07-31T11:22:13.522644Z digest=sha256:5f2046be21ae949da91cca75a65b984e9ce14f080af96b5e622f139defdd5819

Observation ec64c2d8-5487-4199-a7c8-831a8c1d794a · outbound

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

Non-partitioned e-detectors for nonparametric sequential change detection Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

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source=arxiv_source observed=2026-07-31T11:22:13.524862Z digest=sha256:d380dc461ca1013402765b48307c13756e781e1c24fdea89084dc3a6c0e3e192

Observation fb7331fd-6d48-42a3-97bf-ba0767992058 · outbound

This paper cites Validity and Efficiency of the Conformal.

Non-partitioned e-detectors for nonparametric sequential change detection Validity and Efficiency of the Conformal

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source=arxiv_source observed=2026-07-31T11:22:13.527037Z digest=sha256:2a1a99dbe0a2d6787f6663ce6521e16c675ffe03cf1b4effff76666ccb9fc031

Observation e55f4a43-47ca-467c-a2b2-2c4992e9e13d · outbound

This paper cites arXiv preprint arXiv:2602.05272 , year=.

Non-partitioned e-detectors for nonparametric sequential change detection arXiv preprint arXiv:2602.05272 , year=

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source=arxiv_source observed=2026-07-31T11:22:13.529174Z digest=sha256:329c95789e55f77aad4a6840e29b9dc8759d9f2b6bd20724f71cdea1cf81168e

Observation d4fff7a7-2fee-4e48-9472-10b1ab7b04f1 · outbound

This paper cites arXiv preprint arXiv:2602.11846 , year=.

Non-partitioned e-detectors for nonparametric sequential change detection arXiv preprint arXiv:2602.11846 , year=

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source=arxiv_source observed=2026-07-31T11:22:13.531411Z digest=sha256:a9541e9bfa56bab64307b8345ab7efd16d985a0e222fca492f69be14a5275398

Observation 53f3b1b7-a796-4aac-9896-bf9c781d82fc · outbound

This paper cites Proceedings of the 30th International Conference on Algorithmic Learning Theory , series=.

Non-partitioned e-detectors for nonparametric sequential change detection Proceedings of the 30th International Conference on Algorithmic Learning Theory , series=

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source=arxiv_source observed=2026-07-31T11:22:13.533697Z digest=sha256:16696aa958ce7abaae64b2fddc1025f9fdf030b567054a9b949edcf26db7eafe

Pith citing papers

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