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Paper Citation Record · LEDGER

Change Point Detection in the Frequency Domain with Statistical Reliability

As of 23 August 2026, this Paper Citation Record lists 63 of 63 outbound references and 0 inbound Pith citation observations for arXiv:2502.03062.

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

pith.paper-citation-record.v1
2502.03062 v2

Coverage vector

measured 63 of 63 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:13:07.156499Z

measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

63 of 63 outbound references displayed

  • verified exact4
  • verified fuzzy44
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation beacb187-fa04-4dce-b722-10e84aec4f8e · outbound

This paper cites Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing.

Change Point Detection in the Frequency Domain with Statistical Reliability Simulated annealing and Boltzmann machines: a stochastic approach to combinatorial optimization and neural computing

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4e0945a9-9673-4fd4-96a7-33efbb5c8530 · outbound

This paper cites Time-dependent spectral analysis of nonstationary time series.

Change Point Detection in the Frequency Domain with Statistical Reliability Time-dependent spectral analysis of nonstationary time series

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation dd4a0138-b95c-477c-af28-21c2529c5cbf · outbound

This paper cites Algorithms for the optimal identification of segment neighborhoods.

Change Point Detection in the Frequency Domain with Statistical Reliability Algorithms for the optimal identification of segment neighborhoods

Reference 3

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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 2026-08-23T06:30:58.430688+00:00.

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Observation 753f16d4-545c-49a3-a452-e63467c66d06 · outbound

This paper cites Change-point analysis as a tool to detect abrupt climate variations.

Change Point Detection in the Frequency Domain with Statistical Reliability Change-point analysis as a tool to detect abrupt climate variations

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.937816Z digest=sha256:2f4791901487079cb3f773f245c92145bb5a36b8be39237320da8a2c92afdeb9

Observation 70a28efd-4524-42e8-8926-9d88651e4e3f · outbound

This paper cites Post-selection inference for quantifying uncertainty in changes in variance.

Change Point Detection in the Frequency Domain with Statistical Reliability Post-selection inference for quantifying uncertainty in changes in variance

Reference 5

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verified exact
local_arxiv, observed 2026-08-09T10:13:07.265535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.941701Z digest=sha256:a3857ac9bc9a191b2d1d9c6445ecc599998a3d3d2b5be19b7dc99b27968e774b

Observation f4b7de8e-7c17-46c3-96fb-2722cb2464a7 · outbound

This paper cites Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm.

Change Point Detection in the Frequency Domain with Statistical Reliability Thermodynamical approach to the traveling salesman problem: An efficient simulation algorithm

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.945766Z digest=sha256:972f601bb8a7d4edad23c1082af6bbcce03e853dabfe7590c8940adab94b1888

Observation a0546365-060d-42d8-b548-54ecc6a271cf · outbound

This paper cites A statistical change point model approach for the detection of dna copy number variations in array cgh data.

Change Point Detection in the Frequency Domain with Statistical Reliability A statistical change point model approach for the detection of dna copy number variations in array cgh data

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.811702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.950089Z digest=sha256:b2480fae89b123da52db1038ee154e4b9ef1e1769b56802593e1666b0d1c2e2b

Observation 11081bda-874d-4338-87a4-86a4566b0bcc · outbound

This paper cites Valid inference corrected for outlier removal.

Change Point Detection in the Frequency Domain with Statistical Reliability Valid inference corrected for outlier removal

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e244c2ea-bcd2-4594-82e9-2b96e7e89ce8 · outbound

This paper cites Selective inference for k-means clustering.

Change Point Detection in the Frequency Domain with Statistical Reliability Selective inference for k-means clustering

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 338269db-4185-447d-ba24-9e2d8b5a828c · outbound

This paper cites More powerful conditional selective inference for generalized lasso by parametric programming.

Change Point Detection in the Frequency Domain with Statistical Reliability More powerful conditional selective inference for generalized lasso by parametric programming

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.960678Z digest=sha256:7220b64bf3a6ce8b2036f69884b74df4890e09ab588396a77bb08a8e0c5f441e

Observation d2d04e84-bba6-4b9b-952a-a2b08a6cbb0a · outbound

This paper cites Computing valid p-value for optimal changepoint by selective inference using dynamic programming.

Change Point Detection in the Frequency Domain with Statistical Reliability Computing valid p-value for optimal changepoint by selective inference using dynamic programming

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.964165Z digest=sha256:06fd504387f39e0193ecfcd5f99eeb884d5210dea6ed67a02ccad4c9d2430b4e

Observation 97c7b85f-7e4d-47b1-932d-f6d8ab13ad1f · outbound

This paper cites Quantifying statistical significance of neural network-based image segmentation by selective inference.

Change Point Detection in the Frequency Domain with Statistical Reliability Quantifying statistical significance of neural network-based image segmentation by selective inference

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 870ba82d-d6fa-4258-8ebf-6b4eab6af1c1 · outbound

This paper cites Cad-da: Controllable anomaly detection after domain adaptation by statistical inference.

Change Point Detection in the Frequency Domain with Statistical Reliability Cad-da: Controllable anomaly detection after domain adaptation by statistical inference

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation cef12f2c-421c-458c-a572-d7ed4ba6d2e5 · outbound

This paper cites A MOSUM procedure for the estimation of multiple random change points.

Change Point Detection in the Frequency Domain with Statistical Reliability A MOSUM procedure for the estimation of multiple random change points

Reference 14

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.974834Z digest=sha256:08b597a5d01541d17f80b12f0e29999c48e62bbbed33fdce6be35b1fb6b1d349

Observation 46b57ed0-e8b9-4c38-bed2-30a87e5466f5 · outbound

This paper cites Selective Sequential Model Selection.

Change Point Detection in the Frequency Domain with Statistical Reliability Selective Sequential Model Selection

Reference 15

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unresolved
no resolver link, observed 2026-08-09T10:13:06.978297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:06.978297Z digest=sha256:3c020ddb3e5d61f6661a76879089d83d9e959cb3ad6a476d708e75dcd3b84593

Observation 70b66c76-aa0e-4a02-ac5c-d0d8f529616f · outbound

This paper cites Multiscale change point inference.

Change Point Detection in the Frequency Domain with Statistical Reliability Multiscale change point inference

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.982075Z digest=sha256:a40f8b36b21626923677b42cd0a1b85a3b4845f54cffaff5fd481c64c7b14f3c

Observation 30d62c10-e71d-4732-9045-11a5e4da5bb6 · outbound

This paper cites Wild binary segmentation for multiple change-point detection.

Change Point Detection in the Frequency Domain with Statistical Reliability Wild binary segmentation for multiple change-point detection

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation eb3677bf-10cc-45d8-a0d6-df5ca7b59384 · outbound

This paper cites Multiple-change-point detection for auto-regressive conditional heteroscedastic processes.

Change Point Detection in the Frequency Domain with Statistical Reliability Multiple-change-point detection for auto-regressive conditional heteroscedastic processes

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 483bf1ec-0d62-40a2-a842-7e433321a900 · outbound

This paper cites Selective inference for hierarchical clustering.

Change Point Detection in the Frequency Domain with Statistical Reliability Selective inference for hierarchical clustering

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation fd54931a-f5d7-4a5b-8e36-03fcfad66dce · outbound

This paper cites Analysis of the rolling element bearing data set of the center for intelligent maintenance systems of the university of cincinnati.

Change Point Detection in the Frequency Domain with Statistical Reliability Analysis of the rolling element bearing data set of the center for intelligent maintenance systems of the university of cincinnati

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5c215797-a8c5-4c80-ab1f-dacb24fd9f60 · outbound

This paper cites Kernel change-point analysis.

Change Point Detection in the Frequency Domain with Statistical Reliability Kernel change-point analysis

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.668719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.000292Z digest=sha256:7c4fdf758c038b0362261ce4b8027b433a02f3392a7e9cecdb4923ce457fe0b4

Observation 8c0aa54e-8899-4b20-84a5-18f0aa69cd54 · outbound

This paper cites Exact post-selection inference for the generalized lasso path.

Change Point Detection in the Frequency Domain with Statistical Reliability Exact post-selection inference for the generalized lasso path

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.658322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.004046Z digest=sha256:b8d97374c2af8921af93a5d8fad78f628bae48adec139cf983a00bbd90b61165

Observation 52c298f3-ac62-4239-9558-091a474546e2 · outbound

This paper cites Post-selection inference for changepoint detection algorithms with application to copy number variation data.

Change Point Detection in the Frequency Domain with Statistical Reliability Post-selection inference for changepoint detection algorithms with application to copy number variation data

Reference 23

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.007693Z digest=sha256:165b765818e52c4191eaa488ac5dd345f5d7092b31e2eeffef118837db44f6b0

Observation 66db4e61-e512-4c3f-acf4-01c057e13648 · outbound

This paper cites An algorithm for optimal partitioning of data on an interval.

Change Point Detection in the Frequency Domain with Statistical Reliability An algorithm for optimal partitioning of data on an interval

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.011205Z digest=sha256:c57c38217e710ef0f5053fb508c75390dd3446125829c8a11d92d043b8b188cd

Observation 14d8bc93-528d-465d-ae81-f60a52d7e6cb · outbound

This paper cites Testing for a change in mean after changepoint detection.

Change Point Detection in the Frequency Domain with Statistical Reliability Testing for a change in mean after changepoint detection

Reference 25

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unresolved
no resolver link, observed 2026-08-09T10:13:07.015639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.015639Z digest=sha256:0bcb6b5e4432702abc1751947030645dbe87d204f90142613775e266c23a23b5

Observation 65436514-4ed2-4510-abd6-a2d59bb505eb · outbound

This paper cites Optimal detection of changepoints with a linear computational cost.

Change Point Detection in the Frequency Domain with Statistical Reliability Optimal detection of changepoints with a linear computational cost

Reference 26

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verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.618410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.019147Z digest=sha256:eaf18737e19867c1067df14f54cb8a3c0e583075dd4aa69a8b7ba974e7cac16a

Observation 5ade6c3f-a71a-422f-b514-050c664850e8 · outbound

This paper cites Optimization by simulated annealing.

Change Point Detection in the Frequency Domain with Statistical Reliability Optimization by simulated annealing

Reference 27

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unresolved
no resolver link, observed 2026-08-09T10:13:07.023499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2b4117d8-0d45-447a-a6b9-42c6d8857a28 · outbound

This paper cites Detecting abrupt changes in a piecewise locally stationary time series.

Change Point Detection in the Frequency Domain with Statistical Reliability Detecting abrupt changes in a piecewise locally stationary time series

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.599565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.027557Z digest=sha256:aecbd96e1474af18a3428dd305dd79d25556d6506efe9dc0e5dc4208d5037825

Observation fb53fae4-1285-43e1-b2a9-f65cdf925992 · outbound

This paper cites Optimal segmentation of random processes.

Change Point Detection in the Frequency Domain with Statistical Reliability Optimal segmentation of random processes

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.587630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 4ad03cdf-6c5d-4a27-b718-5e6009ac224d · outbound

This paper cites Exact post model selection inference for marginal screening.

Change Point Detection in the Frequency Domain with Statistical Reliability Exact post model selection inference for marginal screening

Reference 30

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no resolver link, observed 2026-08-09T10:13:07.035637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.035637Z digest=sha256:7ebfa654ea7665c6b4fe444476df3475f2159ab327063c28740e5cf4e7d36cc0

Observation db1868e3-dda1-454d-8090-1690c1d6f8ff · outbound

This paper cites Evaluating the statistical significance of biclusters.

Change Point Detection in the Frequency Domain with Statistical Reliability Evaluating the statistical significance of biclusters

Reference 31

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no resolver link, observed 2026-08-09T10:13:07.039115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.039115Z digest=sha256:1cd3f90a9e9874c5f0fa706cbeb47abef7ff2b3d826f8315b9b0abe0fc4166ed

Observation d521fb92-3669-43d2-b637-3a75fe9a7659 · outbound

This paper cites Exact post-selection inference, with application to the lasso.

Change Point Detection in the Frequency Domain with Statistical Reliability Exact post-selection inference, with application to the lasso

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T10:13:07.042591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.042591Z digest=sha256:069a90b2aca30792a250097786b80056a3ac2ebbd7932946f8820f11af6b2ca3

Observation 2684c574-0667-45bc-bc7f-258e9178d21f · outbound

This paper cites Bearing Data Set, NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA , 2007.

Change Point Detection in the Frequency Domain with Statistical Reliability Bearing Data Set, NASA Ames Prognostics Data Repository (http://ti.arc.nasa.gov/project/prognostic-data-repository), NASA Ames Research Center, Moffett Field, CA , 2007

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.554378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.045922Z digest=sha256:d132f359efa3cd209c51906d4fa05e21e294ccbb2e2c329f6410a4ce22026070

Observation 28b3d3d9-b02b-4d1d-bbe3-c90e66e82396 · outbound

This paper cites M-statistic for kernel change-point detection.

Change Point Detection in the Frequency Domain with Statistical Reliability M-statistic for kernel change-point detection

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.541809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.049703Z digest=sha256:976e75fc2df6626f59dd26381e54248796230ea1746a64b2a04f9f2ebb30670f

Observation 7c0b35aa-ba4e-45af-8ded-271bd0220aa6 · outbound

This paper cites More powerful post-selection inference, with application to the Lasso.

Change Point Detection in the Frequency Domain with Statistical Reliability More powerful post-selection inference, with application to the Lasso

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-09T10:13:07.053084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.053084Z digest=sha256:c59ec2210d5524f01f9f90680a13259371150e18147d64d5e8a752e510494236

Observation 50133527-2086-4113-9c6f-c8e9ac4f13bc · outbound

This paper cites Selective inference in regression models with groups of variables.

Change Point Detection in the Frequency Domain with Statistical Reliability Selective inference in regression models with groups of variables

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:13:07.227745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.057326Z digest=sha256:b7299c387c98988f6bb3a73fd55a3383d8ca0a18cb9782b3a4dae97279ebef92

Observation 1d541102-e14a-4db2-bd58-41e8f228100d · outbound

This paper cites A novel framework of change-point detection for machine monitoring.

Change Point Detection in the Frequency Domain with Statistical Reliability A novel framework of change-point detection for machine monitoring

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.531338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.060940Z digest=sha256:1b28123a47c973bb8734e90f44571ad96d82a97cee3a26c29e297678c32ffea4

Observation 808079c4-9d54-4de7-a0c6-011c90a56ccc · outbound

This paper cites Graph-based structural change detection for rotating machinery monitoring.

Change Point Detection in the Frequency Domain with Statistical Reliability Graph-based structural change detection for rotating machinery monitoring

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.520626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.065197Z digest=sha256:966e414f5246dd3df19c8de23efe08aac482988011518f977c6bc36310d7f6a5

Observation d8e71d6f-4056-4f4f-84f3-2098d76de34f · outbound

This paper cites On optimal multiple changepoint algorithms for large data.

Change Point Detection in the Frequency Domain with Statistical Reliability On optimal multiple changepoint algorithms for large data

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.510172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.068750Z digest=sha256:8f8f4a03aa168d845079f29ffbdcefefb5a98732d3373847913aac35e36943f3

Observation 22554f8e-be6e-4061-8363-31854a1f3c90 · outbound

This paper cites Fisher discriminant analysis with kernels.

Change Point Detection in the Frequency Domain with Statistical Reliability Fisher discriminant analysis with kernels

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.499532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.072079Z digest=sha256:901cd2b7e75da734a1323be7518ee3703eedcb0057f480a95bf7a921646b0545

Observation 20d52205-65e0-4c45-ac30-ac6bb918c7d7 · outbound

This paper cites Valid p-value for deep learning-driven salient region.

Change Point Detection in the Frequency Domain with Statistical Reliability Valid p-value for deep learning-driven salient region

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.488551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.075572Z digest=sha256:e131b2dc4c27ec6ce07c50603cdecfaac08935930fb3c61a34546c1efaf74a6d

Observation 97bdb1df-cf65-4f46-a11d-62517bf025e6 · outbound

This paper cites an unresolved cited work.

Change Point Detection in the Frequency Domain with Statistical Reliability Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:13:07.477838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.078929Z digest=sha256:674ec275f5e849dd3dce2979229a829c1f70968db37d5cb1237a09c0f05d8798

Observation 9220cea6-ef90-41d4-9a21-76219d6f52cd · outbound

This paper cites Tree-values: selective inference for regression trees.

Change Point Detection in the Frequency Domain with Statistical Reliability Tree-values: selective inference for regression trees

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.467172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.082156Z digest=sha256:b73ff477cff295697ac76ec19f34b1965591acb53a5b578ea22dbad0675fcb59

Observation 833e9c6f-6f79-4072-ad11-48e16d4926a7 · outbound

This paper cites Circular binary segmentation for the analysis of array-based dna copy number data.

Change Point Detection in the Frequency Domain with Statistical Reliability Circular binary segmentation for the analysis of array-based dna copy number data

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.456412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.086541Z digest=sha256:2f4258fac5427510046ef54d35c2745bf5cd20f419690b2ae996dc71a7538ccb

Observation 33e695ad-4c4a-4386-b621-51b88a38c438 · outbound

This paper cites an unresolved cited work.

Change Point Detection in the Frequency Domain with Statistical Reliability Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-09T10:13:07.445084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.090330Z digest=sha256:1b690a7d02d3406be82bd0edc9f58ac698759c80ce217e4a0038f032908b906f

Observation 2f0c1528-1b38-4004-8684-b663f53eccfa · outbound

This paper cites Real-time financial surveillance via quickest change-point detection methods.

Change Point Detection in the Frequency Domain with Statistical Reliability Real-time financial surveillance via quickest change-point detection methods

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.432664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.093862Z digest=sha256:6452d1e993f3e767d3e5cf6e27323aaf8aa414846b3098ddb904156457f86c81

Observation 1256f397-27c2-4ef7-9cf2-3bf6320891b6 · outbound

This paper cites Performance evaluation of dna copy number segmentation methods.

Change Point Detection in the Frequency Domain with Statistical Reliability Performance evaluation of dna copy number segmentation methods

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.420630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.097344Z digest=sha256:eded22bf6fc1b29aa43c24170eb5bf7c33d713c49d1ad201d91e9ca20c63b46a

Observation 52f7e7ad-3abe-4ac9-b9cd-24472bcf035e · outbound

This paper cites Detection of multiple structural breaks in multivariate time series.

Change Point Detection in the Frequency Domain with Statistical Reliability Detection of multiple structural breaks in multivariate time series

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.408662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.100690Z digest=sha256:8982dc868832054c785217b979f7742c9bc9321db9d586b32d6c2ca35d890d41

Observation c4268fdf-f4d2-43d3-9cab-0c5a21780970 · outbound

This paper cites Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics.

Change Point Detection in the Frequency Domain with Statistical Reliability Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.397603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.104078Z digest=sha256:5288c57348687ad33bac414a93c619432222f6cf9ee4307dcf2d942eed58b8c1

Observation e3df942a-d8b8-4c26-8f4c-b4fde9befd73 · outbound

This paper cites A review and comparison of changepoint detection techniques for climate data.

Change Point Detection in the Frequency Domain with Statistical Reliability A review and comparison of changepoint detection techniques for climate data

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.386145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.107641Z digest=sha256:b35420a3c1eb039cf2ecd91ad997e9a32af7d6a3ff09c6b2ee9f99f0c5350be0

Observation 95d13019-1792-4030-b904-c6dcbfaf25f3 · outbound

This paper cites Inference for l 2-boosting.

Change Point Detection in the Frequency Domain with Statistical Reliability Inference for l 2-boosting

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-09T10:13:07.111234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.111234Z digest=sha256:0af7fe7ef28162126bfef0d22273d56ac39196cc10a1811d68cb557d8d2525e1

Observation 61e57cc5-0fcf-4fec-b050-d701daa903e2 · outbound

This paper cites A cluster analysis method for grouping means in the analysis of variance.

Change Point Detection in the Frequency Domain with Statistical Reliability A cluster analysis method for grouping means in the analysis of variance

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.368953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.115020Z digest=sha256:cad52e1e9215636f6228e35d73a42171ad08a26de51c208091a9e3c6f0d49af1

Observation 00fc93bd-d4b5-4422-b547-5c300162179f · outbound

This paper cites Selective inference for change point detection by recurrent neural network.

Change Point Detection in the Frequency Domain with Statistical Reliability Selective inference for change point detection by recurrent neural network

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.358217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.118437Z digest=sha256:96c54ba0f1d6f2169aa63a53b0be449b430038a7e09976cb30e72fed070dbe34

Observation 229eb2b2-05c9-4425-a3c7-fbecd5748108 · outbound

This paper cites Statistical test for attention maps in vision transformers.

Change Point Detection in the Frequency Domain with Statistical Reliability Statistical test for attention maps in vision transformers

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.345617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.122102Z digest=sha256:610c6c9a95ec03ad2ddb7916de75f0b2c7f87e42464cb5048e377a1c3c03c7d9

Observation 725d5e90-b5d5-4a2f-a1a0-e066634520c7 · outbound

This paper cites Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference.

Change Point Detection in the Frequency Domain with Statistical Reliability Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:13:07.212781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.125754Z digest=sha256:1cd518d3e68e8f278933a8368c4e57ccac2c2b562c6a887f673d5791fd2ac953

Observation 5b1d1a74-7a2e-49a1-9798-e3a42f8569fa · outbound

This paper cites Computing valid p-values for image segmentation by selective inference.

Change Point Detection in the Frequency Domain with Statistical Reliability Computing valid p-values for image segmentation by selective inference

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.334197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.129796Z digest=sha256:d737f6dc133f10c7179cd7ace454fdc1723def06f4beaed351f1ac48bb2047a6

Observation 7a69b21d-3a1a-4366-8fcf-c34f2de4b686 · outbound

This paper cites Statistical learning and selective inference.

Change Point Detection in the Frequency Domain with Statistical Reliability Statistical learning and selective inference

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T10:13:07.133328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.133328Z digest=sha256:ae7cc66467d1ac2b4113c8f6bb5bfcf71712d9cc887e8377d39eff81ec9a47be

Observation 73a692c8-761f-49c3-854c-2d20b7f8e3b4 · outbound

This paper cites Exact post-selection inference for sequential regression procedures.

Change Point Detection in the Frequency Domain with Statistical Reliability Exact post-selection inference for sequential regression procedures

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-09T10:13:07.136817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.136817Z digest=sha256:4ef61faac3cff0979bf5524de025fb3fb6c3972b4a88b5c23f0167c9eb1d141e

Observation 11d4ab51-792f-4634-a5fb-1db69fd00984 · outbound

This paper cites Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation.

Change Point Detection in the Frequency Domain with Statistical Reliability Conditional selective inference for robust regression and outlier detection using piecewise-linear homotopy continuation

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.308742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.140819Z digest=sha256:1e6ff26d616b48f42ea3322c61a5d1c0b3c778ba61b2e8dc35611b6ec1449173

Observation 5acd2e5a-9a1d-435d-985b-21f113e03302 · outbound

This paper cites Selective Inference for Change Point Detection in Multi-dimensional Sequences.

Change Point Detection in the Frequency Domain with Statistical Reliability Selective Inference for Change Point Detection in Multi-dimensional Sequences

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-08-09T10:13:07.195874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.145068Z digest=sha256:34ff5bfcc4f08e58775881445405bf0615f9a2fbcd69f53be7abef569de7dfb3

Observation 3e3d3827-802c-41a3-a0b7-9eb1e8ece28e · outbound

This paper cites Selective inference for latent block models.

Change Point Detection in the Frequency Domain with Statistical Reliability Selective inference for latent block models

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.296287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.149189Z digest=sha256:ddb8d46aa7f8664a6c3cd45a1745de83f285235d57d730f9b7f3119154cefac8

Observation 20235212-be31-4906-a301-fb1db41061d9 · outbound

This paper cites Post selection inference with kernels.

Change Point Detection in the Frequency Domain with Statistical Reliability Post selection inference with kernels

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T10:13:07.283880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.152969Z digest=sha256:5938e78128da971fa35438378a6c5d5d47e2860580f0bd9d4954c07d087622d6

Observation 90fd27fa-ea64-479d-a3cc-427b35635fe2 · outbound

This paper cites write newline.

Change Point Detection in the Frequency Domain with Statistical Reliability write newline

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-09T10:13:07.156499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T10:13:07.156499Z digest=sha256:8be6ec4ded144d69bc2f641e8fdca9701371a91d04922ff0c6279696aaa6d31b

Pith citing papers

No inbound Pith citation observations are available.