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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+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

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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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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 2026-08-22T06:32:14.747728+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.974834Z digest=sha256:a51f0377af026f07e7387628182890d4fa1e246a4717eedc79d5e2fd2988d201

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
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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.982075Z digest=sha256:44ab972eed0b055cb1b791b877015c89b601011d0b840c5cd10f446a6432ab57

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.007693Z digest=sha256:85637b06a06b28567e85f89c47782519f646921bed28cd9f411ff68c0fdf465f

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 2026-08-22T06:32:14.747728+00:00.

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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
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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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

Resolution
unresolved
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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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+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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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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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 2026-08-22T06:32:14.747728+00:00.

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.049703Z digest=sha256:923f2751815e88b9e803930a9ca33f081ac325798bd214ff441c7a39297cefca

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

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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

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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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.057326Z digest=sha256:e3f3bff696f51b22055c9be2703723183893095ea76ec8f9f5a110e00752e003

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.060940Z digest=sha256:811febf49d579f2b4175b7003312507cdc0d1b48ef68510ce7ed4751fc6fd769

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.065197Z digest=sha256:e307103fabd41555a804a3f19de5575b3352290b7d870aa43c47bcc816ceb7a1

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.068750Z digest=sha256:060503cf9a2181bf76bf77d9c2208257e3865adcc75441a9e7f3544637b9f58e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.072079Z digest=sha256:006529695afa9842a33512807eab9d8f6843b80351c53b15462de8cd64bd774c

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.075572Z digest=sha256:9af51c6d99a734748cb1ac0960213224a302470c17ac94e1cbc05a69434d1745

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.078929Z digest=sha256:d299ce0c08d60b14be09e903cd33fae713329c905ec3cc7cdefa7d2e3f4dea83

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.082156Z digest=sha256:1c8e735039bb193b72d60e759e9aed47afc37b960c238a45e030cd5052e6613b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.086541Z digest=sha256:2ee33e9506e96ca0c1d1af4f4b5f667c7cfccbf39d48f161b6f83d42dcce6635

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.090330Z digest=sha256:67f467209e3a3e5eea6d65ef3da4217f0913da3e3fc8ec024ae0a51eb08ede07

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.093862Z digest=sha256:20bdb1b17f5eeb22830d3c773136cee061ae35da9330bb08f52432b2a6102589

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.097344Z digest=sha256:fba4630e2905347f4b308923920ac17442f2060e69f2d12154f9fe1036a868e9

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.100690Z digest=sha256:1b92483a8b20ea7ecc7574e70b458a823dc24e37786299258f649f7d6ae77c7d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.104078Z digest=sha256:dcabb30c736bed7f2c811f4e48261e746929efbf67b1c997211e36970b7e2474

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.107641Z digest=sha256:78cb7fc1d581267ca5ccc13f78475165ea72a64ffe83748706b95b6a2a946bbe

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.115020Z digest=sha256:c7bf88a68a044793398fdae475a3bd5111db4e9f7a69c28a0e6d672d2741d77b

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.118437Z digest=sha256:ee997d508f33483e8d0d3a4d663fb75580c82e3d3fe2e9fcb1a84bb010d88b3e

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.122102Z digest=sha256:d7a6ce3e30285f2472cfe6e34006f9206662565125b40e752fd4c5a04d594f8d

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.125754Z digest=sha256:557674256a86d160ca5f82aa2128876ac3857127e8bd6fcbecab7e79a33c0aa5

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.129796Z digest=sha256:1c3a09a4ac7557dd6787fb2cfa56d97a4d8d27726b46af80a8ce954220bbf576

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.140819Z digest=sha256:810a59658db6e6ccca2cdd8714eb0dcc2de49b20d4701251bec490866f7ebc5a

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.145068Z digest=sha256:5e8b89893f967edf688f98bd0c015c4751f11264fe210e695c89bb7707724f72

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.149189Z digest=sha256:0a36b3e54e02bca04ba19013a6561dc64593b491c2e63845a50a6a4d713d2c59

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 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.152969Z digest=sha256:62390fee4071ee2490fb10030085da231ff80efb420ca8cd15b614f8a9c81e20

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.