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Paper Citation Record · LEDGER

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

As of 12 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 2026-08-12T06:34:41.77262+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:e644ea2d5b036b5a5fd22f869d909842559c3a6ddfd1bf7b549499eb7c39bbce

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:f2b8dfeba26c345ab12ae565045db7bba6d5a04e4967c10206fd069b990e675e

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:fd3d2e8fd2f7a656cc5f13c9399958ad8c40b2adeac087379f41f02e038f26b7

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:eb8b4b156d88d9a254d912fa1e3c82fdc284f16a6f31c3af2483882075b0d02e

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=sha256:08a1c29cc54bd2aa69be2acc45dd2374247b3803a8e25494f3420e3fcda5f4af

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=sha256:69dc12163d947d77582de862a9febed046509fe1dcd34189921886c4e6f985cb

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=sha256:5a2537e12623405c696de6c1dd1583c4449cc6cf18f427901d6493c3cdd6e1e6

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=sha256:93a666c54f8e003214ae8254e437c9e2c6451e6f3f8a7802da0a5c63030b920d

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=sha256:58ef3d7e9df934da36628e8025b6df11e1443eed835f2922176d2d9beddb1743

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=sha256:8df685392134d339c289203c4acbd3367427aabcb76f87f989222ffc621303e8

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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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:f0ef7df01fcf35ae630cea3e52637919860889085b65726ab1a231188d7dec1e

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:e79901b86e2b83e08f845f11b265415c8156c396ade2f4f03c1d9adede6eb4cd

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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source=pdf_text observed=2026-08-01T18:21:42.059453Z digest=sha256:34d2b34cb20252304f6201b0dc99984f0aab42ffacf2c289c4ff3089b40c5b5c

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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source=pdf_text observed=2026-08-01T18:21:42.062022Z digest=sha256:1d3740acfc68b615df8a994fe4b494e6cd8c86a7816f47c474166f3d05d23ba1

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=sha256:14ff5b378dcbd63173653a872e69ec1df374b7d4ce6cb328e894be8ac057dcd3

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=sha256:61873bd66f2d726644c90effcedee5f049c526a875a61f91f222cc86bd7df6f2

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:c895ee6c9cc6f65319539a83d1be2d8f1876e63513263aaf06ef730e37855b3b

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=sha256:57816fcb188e066bb3be132ef5dcbe3043000cf50f4190fd8ec78fdd187ff67f

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=sha256:345dc5577e11cb6a5dc907a58b8e32fd6d17b8ea9dd4ceb1a91ff00637c978d8

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:a49034cb3f53ea25d5db39416a84262ed22555cb913c7235ffb0a018a031e248

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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source=pdf_text observed=2026-08-01T18:21:42.085709Z digest=sha256:baa8f48a5e7f5c72c384cb8fe3221cd8a033ce23158df9ce58d83242b1385486

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

This paper cites an unresolved cited work.

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=sha256:397f39b4d8357817ec9399029013b00909d2cdde8875061ad444728332c8b175

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=sha256:1c7628aa7327dc3e076a67be04ecc4aee25596b5e1336950dd29a72a0f4ffd4d

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:a93f7afbb0a53e13edb62a0883a9803acd5c0602e0166d1cb42c4ac3efac52a6

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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Pith citing papers

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