Paper Citation Record · LEDGER

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers

As of 4 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2606.00867.

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

pith.paper-citation-record.v1
2606.00867 v1

Coverage vector

measured 42 of 42 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

42 of 42 outbound references displayed

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Outbound references

Observation 7e2393c6-0bdb-43b4-a08c-6d18e0aea841 · outbound

This paper cites Or- der statistic estimation with application to tracking in autonomous driving,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Or- der statistic estimation with application to tracking in autonomous driving,

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:02:26.819558Z

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Observation 72d46735-f12f-40f9-a7b9-74d8d0e13aac · outbound

This paper cites Dis- tributed detection of a nuclear radioactive source using fusion of correlated decisions,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Dis- tributed detection of a nuclear radioactive source using fusion of correlated decisions,

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:02:26.806345Z

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Observation 042d47ec-b997-4912-94a0-ac059d6a086b · outbound

This paper cites Harvesting am- bient rf for presence detection through deep learning,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Harvesting am- bient rf for presence detection through deep learning,

Reference 3

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Observation e522e9e4-2610-4723-9c0d-af15d1e42806 · outbound

This paper cites Sensors cybersecurity.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Sensors cybersecurity

Reference 4

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Observation e742c160-0acd-4c70-869a-950f533d4e1d · outbound

This paper cites E-sfd: Explainable sensor fault detection in the ics anomaly detection system.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers E-sfd: Explainable sensor fault detection in the ics anomaly detection system

Reference 5

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Observation 58117686-3368-46a2-855b-4fd3f5fe514f · outbound

This paper cites Unsupervised multi-sensor anomaly local- ization with explainable ai,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Unsupervised multi-sensor anomaly local- ization with explainable ai,

Reference 6

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Observation 484d45b6-71b2-4a27-ab07-a006b193ecf8 · outbound

This paper cites A Survey on Explainable Anomaly Detection.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers A Survey on Explainable Anomaly Detection

Reference 7

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Observation 6f664315-6ea3-4424-8575-d1858b1afab0 · outbound

This paper cites Asymptotic performance of a distributed detection system in correlated gaus- sian noise,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Asymptotic performance of a distributed detection system in correlated gaus- sian noise,

Reference 8

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Observation 2d8eb78b-9b65-4409-93bc-2e66c3288e39 · outbound

This paper cites Target location estima- tion in sensor networks with quantized data.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Target location estima- tion in sensor networks with quantized data

Reference 9

Resolution: verified exact; doi, observed 2026-06-28T18:02:26.812665Z

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Observation a5b8d826-e518-4e3c-a7cc-6a3608d9a7bd · outbound

This paper cites On the optimality of the likelihood ratio test for local sensor decision rules in the presence of nonindependent observations,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers On the optimality of the likelihood ratio test for local sensor decision rules in the presence of nonindependent observations,

Reference 10

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Observation cf24cba1-fcf2-4fa5-b9aa-fa10b50e0657 · outbound

This paper cites Decentralized detection in sensor networks,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Decentralized detection in sensor networks,

Reference 11

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Observation f9e709bd-17ad-40b3-b136-297e1fa47c2a · outbound

This paper cites Distributed detec- tion in the presence of byzantine sensors in wireless sen- sor networks,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Distributed detec- tion in the presence of byzantine sensors in wireless sen- sor networks,

Reference 12

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Observation 8da49879-f58b-449f-accb-eb2fa56a55be · outbound

This paper cites Bayesian quick- est detection of propagating spatial events,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Bayesian quick- est detection of propagating spatial events,

Reference 13

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This paper cites Music, maximum likelihood, and cramer-rao bound,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Music, maximum likelihood, and cramer-rao bound,

Reference 14

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Observation 66d91953-26a9-4117-b978-cde858809c89 · outbound

This paper cites Sensor array processing based on subspace fitting,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Sensor array processing based on subspace fitting,

Reference 15

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Observation f67fb7fb-c5ca-4c4b-87cf-429b3e727433 · outbound

This paper cites A sensitivity analysis of the music algorithm,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers A sensitivity analysis of the music algorithm,

Reference 16

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This paper cites Error-energy bounds for adaptive filtering algorithms,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Error-energy bounds for adaptive filtering algorithms,

Reference 17

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Observation 5d090a4b-33ee-4c95-aea7-0c6203afef5f · outbound

This paper cites Performance advantage of complex lms for controlling narrow-band adaptive arrays,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Performance advantage of complex lms for controlling narrow-band adaptive arrays,

Reference 18

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This paper cites Model-order selection: A review of information criterion rules,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Model-order selection: A review of information criterion rules,

Reference 19

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Observation 965edc4a-0725-4bc9-9c30-f15c66bc33f2 · outbound

This paper cites Identifiability of the parameters of non-gaussian arma models using cumu- lant statistics,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Identifiability of the parameters of non-gaussian arma models using cumu- lant statistics,

Reference 20

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This paper cites The cramer-rao bound for estimating a sparse parameter vector,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers The cramer-rao bound for estimating a sparse parameter vector,

Reference 21

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Observation 7e0bb7b0-15e5-4fdf-a7d0-8d759cd2f82f · outbound

This paper cites Second-order multidimensional ica: Performance analysis,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Second-order multidimensional ica: Performance analysis,

Reference 22

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Observation 86a90887-1cdb-4080-8b88-a93130aa9a90 · outbound

This paper cites On the likelihood ratio for detection of signals in non-gaussian noise,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers On the likelihood ratio for detection of signals in non-gaussian noise,

Reference 23

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Observation 39cbfacb-e4f6-4776-8858-7d729117b832 · outbound

This paper cites Explaining Predictive Uncertainty with Information Theoretic Shapley Values.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Explaining Predictive Uncertainty with Information Theoretic Shapley Values

Reference 24

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Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Unresolved cited work

Reference 25

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This paper cites A value for n-person games,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers A value for n-person games,

Reference 26

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Observation a22d617f-5c34-45f6-9719-abfb7f2ae1cb · outbound

This paper cites Deep learning for anomaly detection.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Deep learning for anomaly detection

Reference 27

Resolution: verified exact; doi, observed 2026-06-28T18:02:26.802901Z

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Observation 94dde1a8-f467-4df3-a2eb-6c713bff93cf · outbound

This paper cites Deep Learning for Anomaly Detection: A Survey.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Deep Learning for Anomaly Detection: A Survey

Reference 28

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Observation 78307031-2bbd-4f82-b587-b1319405dc98 · outbound

This paper cites Explainable ai: Using shapley value to explain complex anomaly detection ml-based,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Explainable ai: Using shapley value to explain complex anomaly detection ml-based,

Reference 29

Resolution: verified exact; doi, observed 2026-06-28T18:02:26.824211Z

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Observation b94d010d-399d-4dc4-9b63-e77acc7644f7 · outbound

This paper cites Using kernel shap xai method to optimize the network anomaly detection model,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Using kernel shap xai method to optimize the network anomaly detection model,

Reference 30

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Observation bfec7e35-e88f-459d-818d-1c43f9402520 · outbound

This paper cites Takeishi and Y.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Takeishi and Y

Reference 31

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This paper cites A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores

Reference 32

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Observation cc41b3e6-8d0c-4674-b693-55295f221eeb · outbound

This paper cites Shapley values of reconstruction errors of pca for explaining anomaly detection.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Shapley values of reconstruction errors of pca for explaining anomaly detection

Reference 33

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Observation 3f03b245-40b8-423c-8a48-9d0420a76711 · outbound

This paper cites [Online].

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers [Online]

Reference 34

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Observation 03e2c248-1ba6-4701-b80f-c49a323b2c2f · outbound

This paper cites Model inde- pendent feature attributions: Shapley values that un- cover non-linear dependencies,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Model inde- pendent feature attributions: Shapley values that un- cover non-linear dependencies,

Reference 35

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This paper cites [Online].

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers [Online]

Reference 36

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This paper cites and Prieur, Cl\'.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers and Prieur, Cl\'

Reference 37

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This paper cites The many shapley values for model explanation,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers The many shapley values for model explanation,

Reference 38

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This paper cites On using the shapley value for anomaly localization: A statistical investigation,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers On using the shapley value for anomaly localization: A statistical investigation,

Reference 39

Resolution: verified exact; doi, observed 2026-06-28T18:02:26.826250Z

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This paper cites Multivariate generalized gaussian distribution: Convexity and graph- ical models,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Multivariate generalized gaussian distribution: Convexity and graph- ical models,

Reference 40

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This paper cites A mul- tivariate generalization of the power exponential family of distributions,.

Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers A mul- tivariate generalization of the power exponential family of distributions,

Reference 41

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Statistical Analysis of using the Shapley Value for Sensor Anomaly Localization with Accurate Classifiers Unresolved cited work

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