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Paper Citation Record · LEDGER

Change Point Detection in the Frequency Domain with Statistical Reliability

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.937816Z digest=sha256:f7c1ef0ea08137f1be2cdc93474b2e74672ae008ec82ec69c047d901d7b40d4c

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.941701Z digest=sha256:a1829dc4b892af5d02c452a72fd5588c90672fd2ad17e10604efd93562c1de2a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.945766Z digest=sha256:2646342d6916f9080556d2a5cfb42d32ba3631b468f91de55dea1b71e2c1f302

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.950089Z digest=sha256:36bc05f368ecdeb5b13099308591e8374680505bf2b13b3693d66fdd70f9e2d6

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.964165Z digest=sha256:fb59370961e1f4790f1cf52e65a476d4147feff73d27a9ea4f65d7912dcb74f6

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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unresolved
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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 2026-08-13T06:32:02.005865+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

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.974834Z digest=sha256:6de4dbb1809fde29f753a6c53cd3911bb3198e4b878e8a438b8e3cd41d2d812b

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:f5481fa0cdd0d70c450f09064a6eae48e9154843cba6ed62dd5c56439d23d359

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
raw_fallback, observed 2026-08-09T10:13:07.726011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:06.982075Z digest=sha256:9ec86679c401314124de0dbe3ff2af8a57a7e37f16d72c028bae5c5210bb734e

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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.000292Z digest=sha256:0380d96bb7067bfdecc033c24322ef0b5356e2e10070ca5b7b4de76bd74f2d58

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 2026-08-13T06:32:02.005865+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
raw_fallback, observed 2026-08-09T10:13:07.647767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.007693Z digest=sha256:9af8f35f655a6c8dd538e4d69d81027da052e88aa829fafbc2752a75b7cbd29b

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.011205Z digest=sha256:df45d60b9f93b98bf50fb32e9fe027b6e46ee45983790a31cab810ba48f705a3

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=sha256:64dc258497d08f87725e6dfc29a501fc956e887d40180a1f2b15a6b1b36b8e1c

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

Resolution
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 2026-08-13T06:32:02.005865+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
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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.027557Z digest=sha256:f4e5998b156ca4562504049bcb514ab013a45b296e25dc3be35e9fa80d98dac0

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 2026-08-13T06:32:02.005865+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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unresolved
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=sha256:1c3f1188987ac970eb1d3c9334e46215283365b49c08d715b26d107446912c98

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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unresolved
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:e7a92299a39a4857b0b11d9383e43e68d77597f468732444e69f8a8bed2b1933

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

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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=sha256:91f42062d857714f5e25439ae48b1f5b2567ab2831b4abb678d52a14b1b05a43

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.045922Z digest=sha256:646052bb548776905ea841b0a7ddb3d2ccbcab4d8778c7bbf8afa8ec3adf6f57

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.049703Z digest=sha256:31a36accad921dd52198ed398d4901617c1bdffe0eb1bc42ea4d52ca30ef1a1a

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:b8d9e71ad14368066c4daa41422243a53eab10a901c60c3547daa1dd5301dab3

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.057326Z digest=sha256:979c992da2e9ffd5fb91f186306d483c79672e08b8f8cee75a7bac550d0532a8

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.060940Z digest=sha256:6088fddc30cc4360c0594da0af625f774ea8bcb5c1d2643dbd3c910f47060a1d

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.065197Z digest=sha256:13651f3dc55067ff42509b75a68d0ba57b74ddd4b43a297299c27a6d6043f941

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.068750Z digest=sha256:696b9d6225447c36a2250195fbc342a8a67971d5fcf8cfb2b4dc49a186d5a159

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.072079Z digest=sha256:9d6623cdc51ebfc940d18fb9fcee9e33392505603335965ede71fffa308a6a79

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.075572Z digest=sha256:3861461cd01e64f5f92a51d9d2acf18ed000b51fa428461b125deff79206064a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.078929Z digest=sha256:4786971315222ffdb50c8a99f66385037b32f38f6d0f67f1306c921cb394171d

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.082156Z digest=sha256:e462e5c595d681da2fed1ad27b28d28d23d4e56009c72f4bf93f6dc9a69624c1

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.086541Z digest=sha256:0edf15f2251969818bef27500aaebaab01e98f26b767e53da5f9e11d32c0e152

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.090330Z digest=sha256:72e15d69ee6751cf9bfdfa694f7676323fde46fef611b2e3473f40eaa320f23d

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.093862Z digest=sha256:a5e2faac72ef07fcf3bd57153685526af583c987ed3dd458d181c8aa6cd27044

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.097344Z digest=sha256:8fb3fd77e96189ed4d8c0d62f00a27ee9531b84d222e547b0aa6ef4409e66284

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.100690Z digest=sha256:91c3a97af31dff80c59bdcb5d57c4c6439ed2f2024c137968931973a97df2306

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.104078Z digest=sha256:8b4aa0feac92038977f745e50633822457993b618825d3e35ed26a7e5c510d0a

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.107641Z digest=sha256:8680fe7a079cb5f55c233985396d59ca8f4cf39f8b2349278af1ed9e09400adb

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=sha256:1f5d4c081c8ef430939a5bbcc49d86c65634ac1671b11b709dcaf0d23ec91c28

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.115020Z digest=sha256:f354424619cdf9219f4a451b85f9137af712eebfa0d7d280681c239298b5b62b

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.118437Z digest=sha256:8448b25441bc243eb7c7f42e26be588364400b35bd3a33946e816eedb1daad45

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.122102Z digest=sha256:70f9db93e028695845ef7f2eeefc8a3eef176a5d566caf4b55e040de00f36425

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.125754Z digest=sha256:649d8e755b0cc356b016a4020de3b44e8301dce04d9a15f62ab60080d7895cfa

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.129796Z digest=sha256:dd7956b7679ecf066538e7301bff0b1e86748172bcd378d726ae52ce6a861c1b

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:ff6dad94a85cc3fc631b8c2b7c6917d2137af3ecd7d50b3c62e26b74cfb495c7

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:cdfec697ffa6d0a2b302163744c453eed3264a06c0046d249f0c033dd6a2e2be

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.140819Z digest=sha256:cc90348c9bc0278e1305bf31a63ce88a8df8788f9c2226318b718295f8b4fccd

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.145068Z digest=sha256:7c516a135a9a0313a2a03238f84633f658e1cf92a0b55e9223fdc9c0e17d352e

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.149189Z digest=sha256:ab587b0319297285e9f7f3b379b9397c47f6da478c21dae37dac03486af00733

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 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-09T10:13:07.152969Z digest=sha256:11691daac711b010fddce174ee02486e1741c1fce4e08be21d1069e4a031c996

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:b260ba8114d13b4de9a64886d8eb686bcdca59ef5f2f8468dbe1468b19e9454b

Pith citing papers

No inbound Pith citation observations are available.