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Paper Citation Record · LEDGER

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring

As of 21 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2607.17336.

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

pith.paper-citation-record.v1
2607.17336 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T18:21:42.098707Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

30 of 30 outbound references displayed

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Outbound references

Observation f597f965-873d-4989-87dd-573655b85a2b · outbound

This paper cites A survey on concept drift adaptation.ACM Computing Surveys, 2014.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring A survey on concept drift adaptation.ACM Computing Surveys, 2014

Reference 1

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source=pdf_text observed=2026-08-01T18:21:40.750851Z digest=sha256:75d3a1cc03764120a6e1c6617596b52d38960f4bef85970287587a2a97c93c93

Observation 69d20571-f4e0-4e89-a363-b1c97452d96d · outbound

This paper cites MIT Press, 2009.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring MIT Press, 2009

Reference 2

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source=pdf_text observed=2026-08-01T18:21:40.928885Z digest=sha256:5967b16cda077d6d70f58ff50c5eeda3e51273bc71d4f71300d61a9fdc2faee6

Observation c45511ae-66c7-4e2a-82fb-461d9bb35542 · outbound

This paper cites Learning under concept drift: A review.IEEE Transactions on Knowledge and Data Engineering, 2018.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Learning under concept drift: A review.IEEE Transactions on Knowledge and Data Engineering, 2018

Reference 3

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source=pdf_text observed=2026-08-01T18:21:41.160403Z digest=sha256:c684d0e54e14a5be8a3ab17951e3e3c58166306ab8fb733a1bf9527086b84c86

Observation 6fe95ff9-963d-4fa5-98b8-730c0499579f · outbound

This paper cites Failing loudly: An empirical study of methods for detecting dataset shift.NeurIPS, 2019.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Failing loudly: An empirical study of methods for detecting dataset shift.NeurIPS, 2019

Reference 4

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source=pdf_text observed=2026-08-01T18:21:41.333469Z digest=sha256:7e489028e35aea8dc47a3a4523936ba3a497509a1dfa7721787bfbf0db73fc77

Observation b181ede0-a5d3-4bb9-80a5-b69c238e9142 · outbound

This paper cites Adaptive drift detection methods for data streams.Machine Learning, 2018.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Adaptive drift detection methods for data streams.Machine Learning, 2018

Reference 5

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source=pdf_text observed=2026-08-01T18:21:41.389869Z digest=sha256:b8890bf983316acae53426c1692d6e1337ac561f8d9f5625f9571c9f6e36b49a

Observation c459ee24-03dd-4525-ba29-14c3cf54af39 · outbound

This paper cites Sculley et al.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Sculley et al

Reference 6

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source=pdf_text observed=2026-08-01T18:21:41.416690Z digest=sha256:264db2863e67e3873ec2cdaa7f208bb264d2b84ddf07d55126f277cc6b7ae274

Observation 994cb93e-7bac-4173-bb60-ae207a630c53 · outbound

This paper cites MIT Press, 2018.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring MIT Press, 2018

Reference 7

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source=pdf_text observed=2026-08-01T18:21:41.503511Z digest=sha256:e43107150763a59764e630b64a6cbb03418c0c42c1080221bee117ff4c820a36

Observation ac79f0a5-eaeb-4483-bf12-69d43228b159 · outbound

This paper cites Population stability index: A practical guide.Towards Data Science, 2021.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Population stability index: A practical guide.Towards Data Science, 2021

Reference 8

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source=pdf_text observed=2026-08-01T18:21:41.617124Z digest=sha256:80ef3a18f008b6268113ce8334505a076207849a8968bd46d98e2ee46cfa592c

Observation 596d8805-2a70-4d03-be90-94b8c44cfd21 · outbound

This paper cites Oxford University Press, 2015.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Oxford University Press, 2015

Reference 9

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source=pdf_text observed=2026-08-01T18:21:41.727271Z digest=sha256:b63e338341556413c14610f88c4067637231b71110c49f30063b669ad9717e53

Observation 827178d3-2b16-4b9c-b1f2-4ff12758d402 · outbound

This paper cites Controlling the false discovery rate.Journal of the Royal Statistical Society, 1995.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Controlling the false discovery rate.Journal of the Royal Statistical Society, 1995

Reference 10

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source=pdf_text observed=2026-08-01T18:21:41.831920Z digest=sha256:70cb1dbea5c931ebf77f97e1025031645d79aaf51dd28f9563b437cd8bdcbc10

Observation 7fc88888-6c8e-4015-b626-e74b61d549fc · outbound

This paper cites Multiple comparisons among means.Journal of the American Statistical Association, 1961.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Multiple comparisons among means.Journal of the American Statistical Association, 1961

Reference 11

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source=pdf_text observed=2026-08-01T18:21:41.913131Z digest=sha256:889b8cdea05d0cadb8d359ee4f49c8995ad7410fbda99dc1bcec8dddded59147

Observation a8e4b608-04d5-4cb0-a694-ab1f66f762b3 · outbound

This paper cites an unresolved cited work.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-01T18:21:42.021885Z digest=sha256:1c1582517e7e5c5e4c1351e8cfb35a5fdbdeed7e51a17068dc875759676feaa3

Observation 184587ef-6e69-4a45-96aa-4f12c286d7a4 · outbound

This paper cites Lewis.An Introduction to Credit Scoring.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Lewis.An Introduction to Credit Scoring

Reference 13

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Observation c9ae6fdb-2fa3-44b1-ab3c-36da321887b3 · outbound

This paper cites Gretton, K.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Gretton, K

Reference 14

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source=pdf_text observed=2026-08-01T18:21:42.056842Z digest=sha256:11d71deaf04fb77b426a397cda659516a40986b6380cd92f6c356dfa5cedbfbb

Observation b29d92d8-2699-44bc-869a-0d6244e59ed8 · outbound

This paper cites Cambridge University Press, 2012.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Cambridge University Press, 2012

Reference 15

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Observation 3f63178e-3516-4604-8efa-b8069f9ec0eb · outbound

This paper cites Revisiting Classifier Two-Sample Tests.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Revisiting Classifier Two-Sample Tests

Reference 16

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Observation 18903f72-16b9-4e39-9521-4f7944dbed01 · outbound

This paper cites Detecting and correcting for label shift with black box predictors.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Detecting and correcting for label shift with black box predictors

Reference 17

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source=pdf_text observed=2026-08-01T18:21:42.065260Z digest=sha256:3d35aefbdee22f6529219622a67eefdc15abb9e29dd027fa5313081fbf7b97c8

Observation 41c7a57c-7d28-4b5e-90ee-ad203415f27c · outbound

This paper cites A survey on concept drift adaptation.ACM Computing Surveys, 2014.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring A survey on concept drift adaptation.ACM Computing Surveys, 2014

Reference 18

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source=pdf_text observed=2026-08-01T18:21:42.067906Z digest=sha256:3163bcf16a167613f96ce9a14c1d0b4f61e237ea6268fa81e86437175a5cb91e

Observation 978cb151-cf39-4ccf-9018-72895fb674bf · outbound

This paper cites Uci machine learning repository: Adult data set.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Uci machine learning repository: Adult data set

Reference 19

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source=pdf_text observed=2026-08-01T18:21:42.070354Z digest=sha256:b87ef9663dee9fa52939bb456316caf5671b100db45dd15c476bfabb37a86e2f

Observation 6128b978-309f-431d-996a-10a57db2cd08 · outbound

This paper cites Scaling up the accuracy of naive-bayes classifiers.KDD, 1996.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Scaling up the accuracy of naive-bayes classifiers.KDD, 1996

Reference 20

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Observation 25b4b7e5-da0a-4483-a49f-230e9f32fc42 · outbound

This paper cites Nikiforov.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Nikiforov

Reference 21

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Observation 86ca1c32-0058-4767-8152-6fdead007bb2 · outbound

This paper cites Learning with drift detection.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Learning with drift detection

Reference 22

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source=pdf_text observed=2026-08-01T18:21:42.078277Z digest=sha256:1841d7fc2bd3cb6c3d1d6b03d1cff58077178a7e3bac7d23d84e154c08a82098

Observation cc834a89-e743-4583-8c55-3ad54b329013 · outbound

This paper cites Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Model Monitoring and Robustness of In-Use Machine Learning Models: Quantifying Data Distribution Shifts Using Population Stability Index

Reference 23

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source=pdf_text observed=2026-08-01T18:21:42.080576Z digest=sha256:f02ae312a4bd11ef52bee8513a3a614f4af54790221ed1c6dcd1edd054d70db9

Observation 9077f6d4-4b7c-45cd-8036-64ae74ea985e · outbound

This paper cites Statistical properties of the population stability index.Journal of Risk Model Validation, 14(4):89–100, 2018.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Statistical properties of the population stability index.Journal of Risk Model Validation, 14(4):89–100, 2018

Reference 24

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source=pdf_text observed=2026-08-01T18:21:42.083361Z digest=sha256:0b8400d0653dce6e694f9476f3eac0b77efe503a765c1332d3f782a37a274577

Observation 66cc0f66-8923-44fe-9fdb-8b7feb355756 · outbound

This paper cites Tonguz and Federico Taschin.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Tonguz and Federico Taschin

Reference 25

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Observation 26a03772-ed09-4542-83ce-642dc1977a7c · outbound

This paper cites An incremental change detection test based on density difference estimation.Machine Learning (preprint), 2017.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring An incremental change detection test based on density difference estimation.Machine Learning (preprint), 2017

Reference 26

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Observation adf7eef4-0160-421d-ab4c-2c798708b852 · outbound

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When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-01T18:21:42.091087Z digest=sha256:8e2c74f23aa1b52fa3cc9efe0e1e4b2e0eb424e5e3d8d99ecced3c5b53b50035

Observation 7dfa4aaf-9fad-4ab6-9900-f74a07286af7 · outbound

This paper cites Mmd aggregated two-sample test.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Mmd aggregated two-sample test

Reference 28

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source=pdf_text observed=2026-08-01T18:21:42.093357Z digest=sha256:912b172ba531c1936d8f7d37d75e82a55e60bc5221a5c49ba331ddf88d28a7c4

Observation 87956836-94e4-421a-8b1f-4766bdfb152d · outbound

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When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-01T18:21:42.096222Z digest=sha256:95f4b717b1e3a6e9d94d42a3a6259fbfa16976010bc4620df535eb88b337a30f

Observation 2feaa0e7-a1e0-4cb4-b645-f2f2a732f742 · outbound

This paper cites Concept drift detection delay index.IEEE Transactions on Knowledge and Data Engineering, 35(5):4585–4597, 2022.

When Drift Detectors cry Wolf: False Alarm Rates in continuous ML Monitoring Concept drift detection delay index.IEEE Transactions on Knowledge and Data Engineering, 35(5):4585–4597, 2022

Reference 30

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source=pdf_text observed=2026-08-01T18:21:42.098707Z digest=sha256:d4c80ed6cb5ea0b9b0aeaac5b36aa1ff78e41d426d018948d3bcf8e05687b22a

Pith citing papers

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