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Paper Citation Record · LEDGER

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest

As of 20 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2505.04019.

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

pith.paper-citation-record.v1
2505.04019 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:44:20.278062Z

measured 23 of 23 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

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation 00c0aabe-4d45-4113-af66-1347259f3b38 · outbound

This paper cites an unresolved cited work.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Unresolved cited work

Reference 1

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This paper cites Measuring the quality of explanations: The system causability scale (scs).

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Measuring the quality of explanations: The system causability scale (scs)

Reference 2

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This paper cites Development of a human-centred psychometric test for the evaluation of ex- planations produced by XAI methods.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Development of a human-centred psychometric test for the evaluation of ex- planations produced by XAI methods

Reference 3

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This paper cites A general-purpose method for applying explainable AI for anomaly detection.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest A general-purpose method for applying explainable AI for anomaly detection

Reference 4

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Observation e06a41d7-fb7a-400e-b600-831188835db5 · outbound

This paper cites Transparent data preprocessing for machine learning.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Transparent data preprocessing for machine learning

Reference 5

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This paper cites Towards explaining the effects of data preprocessing on machine learning.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Towards explaining the effects of data preprocessing on machine learning

Reference 6

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This paper cites Isolation forest.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Isolation forest

Reference 7

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Observation 0a7a6aac-5af0-42a8-85da-704b31ac4265 · outbound

This paper cites Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Why Are You Weird? Infusing Interpretability in Isolation Forest for Anomaly Detection

Reference 8

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This paper cites Enhancing explainability in predictive maintenance: Investigating the impact of data preprocessing techniques on xai effectiveness.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Enhancing explainability in predictive maintenance: Investigating the impact of data preprocessing techniques on xai effectiveness

Reference 9

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Observation 9078d96f-a5bd-46ac-bd5e-b3fe4df41c3d · outbound

This paper cites Lundberg and Su-In Lee.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Lundberg and Su-In Lee

Reference 10

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This paper cites Interpretable anomaly detection with diffi: Depth-based feature importance of isolation forest.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Interpretable anomaly detection with diffi: Depth-based feature importance of isolation forest

Reference 11

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Observation c5b1405f-b049-4a4a-a740-c24c4a5be8b1 · outbound

This paper cites Decision predicate graphs: Enhancing interpretability in tree ensembles.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Decision predicate graphs: Enhancing interpretability in tree ensembles

Reference 12

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This paper cites A review of taxonomies of explainable artificial intelligence (XAI) methods.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest A review of taxonomies of explainable artificial intelligence (XAI) methods

Reference 13

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This paper cites A qualitative investigation of the explainability of defeasible argumentation and non-monotonic fuzzy reasoning.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest A qualitative investigation of the explainability of defeasible argumentation and non-monotonic fuzzy reasoning

Reference 14

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This paper cites Enhancing explainability in mobility data science through a combination of methods.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Enhancing explainability in mobility data science through a combination of methods

Reference 15

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Observation f23ef721-d654-4efd-aec5-2582ac7e6125 · outbound

This paper cites Isolation forest with exclusion of attributes based on shapley index.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Isolation forest with exclusion of attributes based on shapley index

Reference 16

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This paper cites Anomaly detection and explanation in coal data using isolation forest, random forest, and shap.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Anomaly detection and explanation in coal data using isolation forest, random forest, and shap

Reference 17

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This paper cites Enhancing interpretability and generalizability in extended isolation forests.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Enhancing interpretability and generalizability in extended isolation forests

Reference 18

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Observation 720c64dc-43b5-42c3-bed7-7b88d8f14ec7 · outbound

This paper cites Pedregosa, G.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Pedregosa, G

Reference 19

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Observation 79cf686c-e48a-41a9-8a2c-07378a8689a3 · outbound

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Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Unsupervised Anomaly Detection Benchmark, 2015

Reference 20

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This paper cites A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest A comparative evaluation of unsupervised anomaly detection algorithms for multivariate data

Reference 21

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This paper cites Bache and M.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest Bache and M

Reference 22

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This paper cites doi:10.1016/j.engappai.2024.109409.

Extending Decision Predicate Graphs for Comprehensive Explanation of Isolation Forest doi:10.1016/j.engappai.2024.109409

Reference 2024

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Pith citing papers

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