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Paper Citation Record · LEDGER

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation

As of 4 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.21023.

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

pith.paper-citation-record.v1
2507.21023 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T02:04:41.593761Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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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  • verified fuzzy14
  • unresolved1
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b489f58a-03e8-4a15-b3d7-560e24fe4fa7 · outbound

This paper cites an unresolved cited work.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Unresolved cited work

Reference 1

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Observation eab4ba8a-508c-4d8a-9885-a7a6731ba962 · outbound

This paper cites Non-coherent source localization with distributed sensor array networks.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Non-coherent source localization with distributed sensor array networks

Reference 2

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Observation 99aef15b-9aad-4c6c-9498-11c4284cffad · outbound

This paper cites The Artemis Program: 30 An Overview of NASA’s Activities to Return Humans to the Moon.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation The Artemis Program: 30 An Overview of NASA’s Activities to Return Humans to the Moon

Reference 3

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Observation ee57e5f5-c5d6-4d85-b04f-bbdff6468068 · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Target location estima- tion in sensor networks with quantized data

Reference 4

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Observation 31343e92-94e8-47a3-83c0-d9d12036398d · outbound

This paper cites Data fusion.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Data fusion

Reference 5

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Observation 1a5c6a9b-3a69-445b-830a-f9dc289ac141 · outbound

This paper cites Local node selection for localization in a distributed sensor network.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Local node selection for localization in a distributed sensor network

Reference 6

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Observation e08e4e65-e24d-4d67-94f6-23f9d8bb5c45 · outbound

This paper cites Rajam ¨aki and V.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Rajam ¨aki and V

Reference 7

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Observation 1cf7c86f-ea29-4fd7-a8aa-6de9b893a8a9 · outbound

This paper cites Sensors cybersecurity.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Sensors cybersecurity

Reference 8

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Observation ad3256fa-d93b-4518-99cc-8421a83f6b2c · outbound

This paper cites [Online].

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation [Online]

Reference 9

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Observation f4b044aa-622b-4490-8178-3235719016ef · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation E-sfd: Explainable sensor fault detection in the ics anomaly detection system

Reference 10

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Observation e1447202-8cf8-4d7a-a3bd-8321c6012fb9 · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Unsupervised multi-sensor anomaly local- ization with explainable ai

Reference 11

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Observation 6bc1ed22-d33c-475e-8abd-5571a5882ebc · outbound

This paper cites A Survey on Explainable Anomaly Detection.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation A Survey on Explainable Anomaly Detection

Reference 12

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Observation ff3451a6-df31-4e73-8d02-a47b853d89ab · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Explaining Predictive Uncertainty with Information Theoretic Shapley Values

Reference 13

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Observation 7f1505ff-0b44-427d-8199-be4a7a734506 · outbound

This paper cites A value for n-person games.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation A value for n-person games

Reference 14

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Observation eb48a12d-2b79-4da7-ab03-ec9586df95d7 · outbound

This paper cites Deep learning for anomaly detection: A review.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Deep learning for anomaly detection: A review

Reference 15

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Observation c8f02017-7cc8-4c3d-8ee1-88ea51627290 · outbound

This paper cites Deep learning for anomaly detection.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Deep learning for anomaly detection

Reference 16

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Observation 46c4f191-397e-43e4-a4ba-944813b94c2d · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Deep Learning for Anomaly Detection: A Survey

Reference 17

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Observation 04496a7e-df43-400e-8cbe-83ffcc29838f · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Explainable ai: Using shapley value to explain complex anomaly detection ml-based

Reference 18

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Observation 6f6585f6-7b69-4a40-82d3-1e73c45f695f · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Explainable ai: Using shapley value to explain complex anomaly detection ml-based,

Reference 19

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Observation d56c8364-7b0a-4fa0-8f21-22646caf1392 · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Using kernel shap xai method to optimize the network anomaly detection model

Reference 20

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Observation d821b552-bea9-49d0-a58a-efe2196d5c38 · outbound

This paper cites Takeishi and Y.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Takeishi and Y

Reference 21

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Observation e2bd96f0-354c-4cd2-b073-8aa4850748db · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation A Characteristic Function for Shapley-Value-Based Attribution of Anomaly Scores

Reference 22

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Source-reported events for the cited work

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Observation ab967888-5b46-4d50-8124-c3a84648d9a5 · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Shapley values of reconstruction errors of pca for explaining anomaly detection

Reference 23

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Observation 7919d6c2-e456-4c23-96ff-32fa3ab324a0 · outbound

This paper cites Explaining anomalies detected by autoencoders using shapley additive explanations.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Explaining anomalies detected by autoencoders using shapley additive explanations

Reference 24

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Observation 84b3c114-3755-4ea2-a362-9e7daac279b4 · outbound

This paper cites [Online].

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation [Online]

Reference 25

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Source-reported events for the cited work

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Observation fa0d111f-1eed-422b-b27d-876f61b59baa · outbound

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

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Model inde- pendent feature attributions: Shapley values that un- cover non-linear dependencies

Reference 26

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Observation 0e2ccffb-666f-49f5-b028-502272aace5f · outbound

This paper cites Explaining indi- vidual predictions when features are dependent: More accurate approximations to shapley values.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation Explaining indi- vidual predictions when features are dependent: More accurate approximations to shapley values

Reference 27

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Source-reported events for the cited work

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Observation d01fdf9f-6338-4131-a0e8-14a2ef922f2a · outbound

This paper cites [Online].

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation [Online]

Reference 28

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Source-reported events for the cited work

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Observation 9b30b77a-e09e-4411-95d3-f219b290b573 · outbound

This paper cites On Shapley value for measuring importance of dependent inputs.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation On Shapley value for measuring importance of dependent inputs

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Observation 9785b9de-bd21-4082-82d9-fb0d4d07e90b · outbound

This paper cites The many shapley values for model explanation.

On Using the Shapley Value for Anomaly Localization: A Statistical Investigation The many shapley values for model explanation

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+00:00.

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Pith citing papers

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