Paper Citation Record · LEDGER

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms

As of 22 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2505.09640.

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

pith.paper-citation-record.v1
2505.09640 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

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measured 50 of 50 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

50 of 50 outbound references displayed

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External citation measurements

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Outbound references

Observation 98b12b60-3e9a-4a41-91bc-c9600a283d2a · outbound

This paper cites Machine bias.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Machine bias

Reference 1

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Observation 77c068b7-ea1a-4c80-832f-171fab90f747 · outbound

This paper cites On the complexity of SHAP-score-based explanations: Tractability via knowledge compilation and non-approximability results.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On the complexity of SHAP-score-based explanations: Tractability via knowledge compilation and non-approximability results

Reference 2

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Observation 14cb3f6a-8c94-4cff-8917-36719408fad2 · outbound

This paper cites On the Explanatory Power of Decision Trees.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On the Explanatory Power of Decision Trees

Reference 3

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This paper cites On tractable XAI queries based on compiled represen- tations.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On tractable XAI queries based on compiled represen- tations

Reference 4

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Observation 49a75644-8030-419c-94df-5435147d3b64 · outbound

This paper cites Computing abductive explana- tions for boosted trees.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Computing abductive explana- tions for boosted trees

Reference 5

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Observation a7104091-52a2-4977-823f-7ff1f32053e1 · outbound

This paper cites Model interpretability through the lens of computational complexity.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Model interpretability through the lens of computational complexity

Reference 6

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Observation fa649bb3-54aa-40a9-aff9-a934c6c241be · outbound

This paper cites Compiling neural network classifiers into boolean circuits for efficient SHAP-score computation.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Compiling neural network classifiers into boolean circuits for efficient SHAP-score computation

Reference 7

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Observation ae5f5cc8-7302-4b74-88dd-a421397f4315 · outbound

This paper cites Causality-based explanation of classification outcomes.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Causality-based explanation of classification outcomes

Reference 8

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Observation 9af2d418-ceaf-47fb-8b3d-aac576c680d1 · outbound

This paper cites Consistent subsets of inconsistent systems: structure and behaviour.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Consistent subsets of inconsistent systems: structure and behaviour

Reference 9

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Observation b19545e5-5e74-4583-a7f8-aecc0f057a88 · outbound

This paper cites The second machine age: Work, progress, and prosperity in a time of brilliant technologies.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms The second machine age: Work, progress, and prosperity in a time of brilliant technologies

Reference 10

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Observation 1b03020f-f4aa-4eed-86bd-a9530b89760d · outbound

This paper cites What can machine learning do? Workforce implications.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms What can machine learning do? Workforce implications

Reference 11

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Observation 96bb9a5d-85ba-47e9-806d-5d623fda75f5 · outbound

This paper cites Tractable explaining of multivariate decision trees.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Tractable explaining of multivariate decision trees

Reference 12

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Observation 75eba278-62f2-41ca-aa3c-520595e99773 · outbound

This paper cites New advances in compiling CNF to decomposable negation normal form.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms New advances in compiling CNF to decomposable negation normal form

Reference 13

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Observation 0a4d89df-ae7d-4594-bdfb-96336b2c8d0e · outbound

This paper cites On the computation of necessary and sufficient explanations.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On the computation of necessary and sufficient explanations

Reference 14

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Observation 243e4296-f678-4acd-9534-70ebd2ef36ae · outbound

This paper cites A knowledge compilation map.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms A knowledge compilation map

Reference 15

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Observation 0475cd14-e1b9-4d9b-b55b-eb280d1dc320 · outbound

This paper cites Lower Bounds for Approximate Knowledge Compilation.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Lower Bounds for Approximate Knowledge Compilation

Reference 16

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Observation 11da3c99-0fd0-4a54-b79c-789faa437b0b · outbound

This paper cites Coordinated plan on Artificial Intelligence.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Coordinated plan on Artificial Intelligence

Reference 17

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Observation 982c3c59-e316-4007-9280-35566ba302ac · outbound

This paper cites Shapley values for feature selection: The good, the bad, and the axioms.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Shapley values for feature selection: The good, the bad, and the axioms

Reference 18

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This paper cites The minimal hitting set generation problem: algorithms and computation.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms The minimal hitting set generation problem: algorithms and computation

Reference 19

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Observation 6912c7cf-b5fd-4a60-8ab5-22a5bb257bf1 · outbound

This paper cites Statistical Significance of Feature Importance Rankings.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Statistical Significance of Feature Importance Rankings

Reference 20

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This paper cites right to explanation.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms right to explanation

Reference 21

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Observation 7175dc55-4e7c-471b-af00-6bad7ce01d37 · outbound

This paper cites DARPA’s Explainable Artificial Intelligence (XAI) Program.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms DARPA’s Explainable Artificial Intelligence (XAI) Program

Reference 22

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Observation 1a991bfb-d85c-43d2-8766-5de4ae067e27 · outbound

This paper cites Causes and explanations: A structural-model approach.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Causes and explanations: A structural-model approach

Reference 23

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Observation 36dad976-2987-4870-bfda-72afeef0f940 · outbound

This paper cites Feature necessity & relevancy in ML classifier explanations.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Feature necessity & relevancy in ML classifier explanations

Reference 24

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Tractable explanations for d-DNNF classifiers

Reference 25

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Observation e3c16091-50eb-4a60-9b2e-4addff213c01 · outbound

This paper cites Efficient Explanations for Knowledge Compilation Languages.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Efficient Explanations for Knowledge Compilation Languages

Reference 26

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This paper cites On Efficiently Explaining Graph-Based Classifiers.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On Efficiently Explaining Graph-Based Classifiers

Reference 27

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This paper cites The Inadequacy of Shapley Values for Explainability.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms The Inadequacy of Shapley Values for Explainability

Reference 28

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This paper cites On Explaining Decision Trees.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On Explaining Decision Trees

Reference 29

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This paper cites Algorithms for computing minimal unsatisfiable subsets of constraints.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Algorithms for computing minimal unsatisfiable subsets of constraints

Reference 30

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Artificial intelligence: a survey on evolution, models, applications and future trends

Reference 31

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms A unified approach to interpreting model predictions

Reference 32

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This paper cites EU guidelines on ethics in artificial intelligence: Context and implementation.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms EU guidelines on ethics in artificial intelligence: Context and implementation

Reference 33

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This paper cites Logic-based explainability in machine learning.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Logic-based explainability in machine learning

Reference 34

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This paper cites Compile! In Proceedings of the AAAI Conference on Artificial Intelligence, volume 29, 2015.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Compile! In Proceedings of the AAAI Conference on Artificial Intelligence, volume 29, 2015

Reference 35

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This paper cites On the Computational Tractability of the (Many) Shapley Values.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On the Computational Tractability of the (Many) Shapley Values

Reference 36

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Price and performance changes of computer technology with time

Reference 37

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This paper cites Verifying properties of binarized deep neural networks.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Verifying properties of binarized deep neural networks

Reference 38

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms What artificial intelligence can and can’t do right now

Reference 39

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Linear-time counting algorithms for independent sets in chordal graphs

Reference 40

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms A theory of diagnosis from first principles

Reference 41

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Why should I trust you?

Reference 42

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This paper cites Reachability Analysis of Deep Neural Networks with Provable Guarantees.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Reachability Analysis of Deep Neural Networks with Provable Guarantees

Reference 43

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This paper cites Tracing the evolution of AI in the past decade and forecasting the emerging trends.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Tracing the evolution of AI in the past decade and forecasting the emerging trends

Reference 44

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Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms A value for n-person games

Reference 45

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This paper cites Amount of data created, consumed, and stored 2010-2023, with forecasts to 2028.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Amount of data created, consumed, and stored 2010-2023, with forecasts to 2028

Reference 46

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This paper cites A survey on explainable artificial intelligence (XAI): Toward medical XAI.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms A survey on explainable artificial intelligence (XAI): Toward medical XAI

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:49:00.233980Z

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Observation 12419bb9-5d8f-43d6-9a32-e2feb4f6e6d4 · outbound

This paper cites On the tractability of SHAP explanations.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms On the tractability of SHAP explanations

Reference 48

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This paper cites Research on the prediction of bike sharing system’s demand based on linear regression model.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms Research on the prediction of bike sharing system’s demand based on linear regression model

Reference 49

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Observation 9e5f4e4c-4979-4be5-8bad-ac2c4085eac7 · outbound

This paper cites A multivariate regression analysis of factors influencing california housing prices.

Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms A multivariate regression analysis of factors influencing california housing prices

Reference 50

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Pith citing papers

No inbound Pith citation observations are available.