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Paper Citation Record · LEDGER

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes

As of 20 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2505.20452.

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

pith.paper-citation-record.v1
2505.20452 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:58:47.560875Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved35
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 861651b5-a19b-4635-9506-3631c75afe70 · outbound

This paper cites Bayesian Online Changepoint Detection.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Bayesian Online Changepoint Detection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:58:43.710076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 88c900cb-d8ec-4d47-afb3-80abe46082a3 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 2

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation c674d821-874b-4b3d-99b8-ab52453b5cf5 · outbound

This paper cites Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Contour Location for Reliability in Airfoil Simulation Experiments using Deep Gaussian Processes

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:58:48.001482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 05b333c7-1c26-41cd-8248-af50f3f2a56f · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:54.458492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 95bd523f-7c59-4f4f-9c05-5f8adcdaaaa4 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:54.271617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 2b78fa64-0ba8-40c4-bf44-3a7ab5472d68 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:54.030733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 399be074-61f9-4ae0-9afa-a12100126cc7 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 7

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e5a310b9-efd9-44b1-ace0-5898becb89b8 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 8

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 444b6b0d-7005-49fe-a098-c0692d968d31 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7038c194-60d2-4992-aee7-b9d7e0ae11b9 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 10

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 08235ec9-a388-4492-8b21-b743ce55682d · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 11

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cf76aeda-a433-4b41-b7fa-9d07aeb8bbbf · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 12

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 75c88b4d-b4ee-4fa7-835e-710dac4b5432 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 13

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f5ad04b0-fbda-4244-b94e-2e9af2ee98e8 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 14

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f2204209-5674-4114-bae3-53d795502e26 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 15

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9e0e2d14-6233-4285-beef-8bf037d348d8 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation f2446e85-5163-433e-b623-3dbc0502b8fe · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 17

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 49436664-c070-402d-b048-51c8a1b7cae2 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 18

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 7215a6c3-61aa-4b45-826b-0044789ec155 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 19

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d46fbcb4-e121-4efc-90e7-c3f5d8779bf6 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 03d0791e-8754-4e74-be82-77724c8d45d0 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 21

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b1a5af33-dc51-4e0b-bdf7-a8bb9dcb6e8a · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 22

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 59c6a54d-639b-4c1d-8861-e6dbbd706f26 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 23

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d0e4d460-abcf-4c1d-80f5-8fac1cd89763 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 24

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 882b1ab4-5ace-4c38-89ba-ed958953a329 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 25

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 64f9d06a-cec8-480d-ab47-46e8bd00c14b · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 26

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation fc3fe617-4277-4a26-a5a2-c3e2fa8b7d4f · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 27

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 060c84d1-4d9c-49e4-9f02-971089dec1f0 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 28

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 03e6fab2-098c-4f83-a57b-8545222b6a08 · outbound

This paper cites An Evaluation of Change Point Detection Algorithms.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes An Evaluation of Change Point Detection Algorithms

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 70faa81b-882e-4b01-a167-4fb0e30f5bc0 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 30

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation cb846554-2177-429e-a8ec-11e9db9a6503 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:48.726509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation db9ff9f4-12b6-48c7-9b5b-2fdcde31cc9f · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:48.596362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d6e3e752-d79d-4ba0-a4d0-e3902cb3c021 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:48.391072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b2567be9-2810-4fe4-8e3b-d750f229bb99 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:48.164764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 80b81e06-4872-4ff8-9944-d82fd642c1ae · outbound

This paper cites Active Learning for Abrupt Shifts Change-point Detection via Derivative-Aware Gaussian Processes.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Active Learning for Abrupt Shifts Change-point Detection via Derivative-Aware Gaussian Processes

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:58:47.786130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T13:58:47.560875Z digest=sha256:6039e01cf85bdc3d7e23bc92dcca2be775b03655a51b4fbfd8e8d8c860d2b192

Observation 54c0d9c2-5275-486f-b001-f859bdd8cb02 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 2018

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:53.415143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T13:58:44.379515Z digest=sha256:a2f6cdc252d072bf918fde72c7f38f8d27be217d4189fb8b1781787f0fa56b17

Observation 525915bd-93e8-43cf-a650-90a8f9864f56 · outbound

This paper cites an unresolved cited work.

Active Learning for Multiple Change Point Detection in Non-stationary Time Series with Deep Gaussian Processes Unresolved cited work

Reference 2020

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:58:50.256810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T13:58:46.266927Z digest=sha256:d8cfc4dcf9114b308815fadf24d756574ad61c6af90e54228a90e8dce9aea2cb

Pith citing papers

No inbound Pith citation observations are available.