Paper Citation Record · LEDGER

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2607.14814.

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

pith.paper-citation-record.v1
2607.14814 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T01:03:57.081090Z

measured 37 of 37 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T04:44:23.806774Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-14T04:44:24.253864Z

Reference resolution

36 of 36 outbound references displayed

verified exact0
verified fuzzy0
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 282945de-0746-41b2-b316-246d91088e05 · outbound

This paper cites A survey of methods for time series change point detection.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection A survey of methods for time series change point detection

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:52.455578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9c473c6-5477-4c55-ac7b-b2610eca5dc2 · outbound

This paper cites A kernel multiple change-point algorithm via model selection.Journal of Machine Learning Research, 20(162):1–56, 2019.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection A kernel multiple change-point algorithm via model selection.Journal of Machine Learning Research, 20(162):1–56, 2019

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:52.542288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd58bfd4-c033-4ff8-9a39-ccfcfe9ff9b0 · outbound

This paper cites Prentice Hall, 04 1993.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Prentice Hall, 04 1993

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:52.616146Z

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Observation 835d27fe-e661-49a0-ab4a-f00c59c7140c · outbound

This paper cites Springer US, 2004.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Springer US, 2004

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:52.825772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3651c8fa-00d1-47b2-b44e-1c49c37706c5 · outbound

This paper cites Theoretical guarantees for change localization using conformal p-values.arXiv preprint arXiv:2510.08749, 2025.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Theoretical guarantees for change localization using conformal p-values.arXiv preprint arXiv:2510.08749, 2025

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:53.032266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84029608-c964-4856-81e0-bc6a08fe088e · outbound

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

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Post-selection inference for quantifying uncertainty in changes in variance

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:53.265617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daafd3d7-cd77-46e3-b224-ee0a927f8f4e · outbound

This paper cites Improving power by conditioning on less in post-selection inference for changepoints.Statistics and Computing, 35(1):8, 2025.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Improving power by conditioning on less in post-selection inference for changepoints.Statistics and Computing, 35(1):8, 2025

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:53.409367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de272bef-519c-4fa8-9f95-7c11bc3bfd92 · outbound

This paper cites Inferenceinhigh-dimensionalonlinechangepoint detection.Journal of the American Statistical Association, 119(546):1461–1472, 2024.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Inferenceinhigh-dimensionalonlinechangepoint detection.Journal of the American Statistical Association, 119(546):1461–1472, 2024

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:53.551431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ab33228-25ed-4510-b134-9222d1489ffe · outbound

This paper cites an unresolved cited work.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:53.698175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3cdc90d3-d441-4350-a48c-ecabb94a1e1a · outbound

This paper cites Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Online Centralized Non-parametric Change-point Detection via Graph-based Likelihood-ratio Estimation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:53.899303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9b79628-264d-4b02-b15a-0a5ce5540fb6 · outbound

This paper cites Data-driven distributed collaborative fault detection and isolation for large-scale dynamic processes in simultaneous-fault cases.Control Engineering Practice, 141:105718, 2023.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Data-driven distributed collaborative fault detection and isolation for large-scale dynamic processes in simultaneous-fault cases.Control Engineering Practice, 141:105718, 2023

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.118171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ddc26b7-d7d3-43cb-bc35-0ccb2b3b5ba8 · outbound

This paper cites Consistent change-point detection with kernels.Electronic Journal of Statistics, 12(2), 1 2018.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Consistent change-point detection with kernels.Electronic Journal of Statistics, 12(2), 1 2018

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.292525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 196078c5-18ab-46d0-bf87-5e61e42ec82c · outbound

This paper cites Large sample analysis of the median heuristic.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Large sample analysis of the median heuristic

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.391855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9aef418-37ab-4e81-8591-6412dce2fceb · outbound

This paper cites Chapman and Hall/CRC, 2021.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Chapman and Hall/CRC, 2021

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.446296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da13b88d-4c92-4a19-957b-58132a255892 · outbound

This paper cites Borgwardt, Malte J.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Borgwardt, Malte J

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.521071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 90bae8ed-16af-401f-962f-ceeb28594109 · outbound

This paper cites Retrospective multiple change-point estimation with kernels.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Retrospective multiple change-point estimation with kernels

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.597076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b36fbda-97a4-47c6-bd91-6713b513cdb1 · outbound

This paper cites Individual household electric power consumption, 2012.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Individual household electric power consumption, 2012

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.657346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c743d183-9c21-42ee-addd-b09cbb99e03d · outbound

This paper cites A simple sequentially rejective multiple test procedure.Scandinavian Journal of Statistics, 6(2):65–70, 1979.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection A simple sequentially rejective multiple test procedure.Scandinavian Journal of Statistics, 6(2):65–70, 1979

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.757466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64f3561c-3af7-401d-8c24-2999941fced6 · outbound

This paper cites Testing for a change in mean after changepoint detection.Journal of the Royal Statistical Society Series B: Statistical Methodology, 84(4):1082–1104, 2022.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Testing for a change in mean after changepoint detection.Journal of the Royal Statistical Society Series B: Statistical Methodology, 84(4):1082–1104, 2022

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.838813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d369658-3ffc-4aae-81a1-2fcaec424a02 · outbound

This paper cites Lehmann and Joseph P.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Lehmann and Joseph P

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:54.907677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f756377-9f94-4294-867f-abd95b8f552e · outbound

This paper cites Volatility spillover among sector equity returns under structural breaks.Review of Quantitative Finance and Accounting, 58(3):1063–1080, 04 2022.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Volatility spillover among sector equity returns under structural breaks.Review of Quantitative Finance and Accounting, 58(3):1063–1080, 04 2022

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.063449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3e9a025-ec0c-492a-87de-1b1e2b1f24bb · outbound

This paper cites Matteson and Nicholas A.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Matteson and Nicholas A

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.122340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2799cd90-ef30-44e1-a255-22e63b3fd11f · outbound

This paper cites McMillan and Mark E.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection McMillan and Mark E

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.195837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 273af9dc-e4a3-463e-854d-ca00339667b9 · outbound

This paper cites Variable Selection for Comparing High-dimensional Time-Series Data.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Variable Selection for Comparing High-dimensional Time-Series Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.257224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73ce1adc-f183-4e91-bd2d-f8dc9df4630a · outbound

This paper cites Variable selection in maximum mean discrepancy for interpretable distribution comparison.arXiv preprint arXiv:2311.01537, 2023.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Variable selection in maximum mean discrepancy for interpretable distribution comparison.arXiv preprint arXiv:2311.01537, 2023

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.322370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94210800-6f8e-42de-b341-fc9fb8da7a3b · outbound

This paper cites Oakland.Statistical Process Control.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Oakland.Statistical Process Control

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.391471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b65fe30-b4f8-4340-baa0-40e6e7d6fcd9 · outbound

This paper cites Romano and Michael Wolf.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Romano and Michael Wolf

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.546144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f49280d-8a4a-4cee-b821-bf783c5a54e0 · outbound

This paper cites an unresolved cited work.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.714447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57cf82b4-4f51-4ebf-a9c4-41e87c1473d1 · outbound

This paper cites A permutation-free kernel two-sample test.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection A permutation-free kernel two-sample test

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:55.849944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ea7f3ec-47f5-456f-8f4b-8adb78adf0ba · outbound

This paper cites Hilbert space embeddings and metrics on probability measures.The Journal of Machine Learning Research, 11:1517–1561, 2010.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Hilbert space embeddings and metrics on probability measures.The Journal of Machine Learning Research, 11:1517–1561, 2010

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:56.014778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8878d18a-fe16-4b85-9fa4-bd5080622005 · outbound

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

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Valid and Exact Statistical Inference for Multi-dimensional Multiple Change-Points by Selective Inference

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:56.163345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35f765c0-066b-4d72-aee1-00e383faa778 · outbound

This paper cites Industrial control anomaly detection based on distributed linear deep learning.Computers, Materials and Continua, 82(1):1129–1150, 2025.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Industrial control anomaly detection based on distributed linear deep learning.Computers, Materials and Continua, 82(1):1129–1150, 2025

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:56.371742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41ba4ff-b933-4433-ba6e-31b1d248e8ae · outbound

This paper cites Selective review of offline change point detection methods.Signal Processing, 167:107299, 02 2020.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Selective review of offline change point detection methods.Signal Processing, 167:107299, 02 2020

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:56.530797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cef297c1-245d-438b-8e52-37a151f06bc9 · outbound

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

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Selective Inference for Change Point Detection in Multi-dimensional Sequences

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:56.677246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e29920be-caae-4b88-b081-33a20662d34f · outbound

This paper cites Paddy Farrington, Paul H.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Paddy Farrington, Paul H

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:56.861424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6255ddce-3729-4705-91eb-bddf435a2759 · outbound

This paper cites Variable Selection for Kernel Two-Sample Tests.

Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection Variable Selection for Kernel Two-Sample Tests

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-02T01:03:57.081090Z

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Unavailable: canonical work link unavailable.

Pith citing papers

Observation c9316984-a41a-46ea-b725-35d317d90a91 · inbound

ARC: Augmented-Rank Conformalization for Changepoint Localization --- Finite-Sample Validity and Distribution-Robust Efficiency cites this paper.

ARC: Augmented-Rank Conformalization for Changepoint Localization --- Finite-Sample Validity and Distribution-Robust Efficiency Post Hoc Inference for Component Attribution in Multivariate Change-Point Detection

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-14T04:44:24.259121Z

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.