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Paper Citation Record · LEDGER

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models

As of 19 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2508.15220.

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

pith.paper-citation-record.v1
2508.15220 v1

Coverage vector

measured 39 of 39 reference resolution

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measured 39 of 39 standing notices

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measured 0 of 0 inbound itemization

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Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 51fefd4d-e5bc-44ed-a073-edafaeaeafc5 · outbound

This paper cites UCI Machine Learning Repository (2017), DOI: https://doi.org/10.3886/ICPSR37305.v1.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (2017), DOI: https://doi.org/10.3886/ICPSR37305.v1

Reference 1

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This paper cites UCI Machine Learning Repository (2020), DOI: https://doi.org/10.24432/C5VG8H.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (2020), DOI: https://doi.org/10.24432/C5VG8H

Reference 2

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This paper cites UCI Machine Learning Repository (2020), DOI: https://doi.org/10.24432/C5Z89R.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (2020), DOI: https://doi.org/10.24432/C5Z89R

Reference 3

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This paper cites IEEE Access 6, 52138–52160 (2018).

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models IEEE Access 6, 52138–52160 (2018)

Reference 4

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This paper cites UCI Machine Learning Repository (1991), DOI: https://doi.org/10.24432/C5688J.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (1991), DOI: https://doi.org/10.24432/C5688J

Reference 5

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This paper cites UCI Machine Learning Repository (1989), DOI: https://doi.org/10.24432/C52P4X.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (1989), DOI: https://doi.org/10.24432/C52P4X

Reference 6

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This paper cites In: Heule, M., Iser, M., Järvisalo, M., Suda, M.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Heule, M., Iser, M., Järvisalo, M., Suda, M

Reference 7

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This paper cites UCI Machine Learning Repository (1988), DOI: https://doi.org/10.24432/C5JP48.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (1988), DOI: https://doi.org/10.24432/C5JP48

Reference 8

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This paper cites IEEE Trans.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models IEEE Trans

Reference 9

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This paper cites Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Joint Explainability-Performance Optimization With Surrogate Models for AI-Driven Edge Services

Reference 10

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Observation 6d4eb5b3-8462-495d-b44b-73aafb63aa50 · outbound

This paper cites Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Pareto Monte Carlo Tree Search for Multi-Objective Informative Planning

Reference 11

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This paper cites In: Touretzky, D.S., Mozer, M., Hasselmo, M.E.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Touretzky, D.S., Mozer, M., Hasselmo, M.E

Reference 12

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: CAV (1)

Reference 13

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: ICML

Reference 14

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This paper cites Local Rule-Based Explanations of Black Box Decision Systems.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Local Rule-Based Explanations of Black Box Decision Systems

Reference 15

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models ACM Comput

Reference 16

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This paper cites Addison-Wesley (1979).

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Addison-Wesley (1979)

Reference 17

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This paper cites In: Proceedings of the IEEE Congress on Evolution- ary Computation, CEC 2013, Cancun, Mexico, June 20-23, 2013.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Proceedings of the IEEE Congress on Evolution- ary Computation, CEC 2013, Cancun, Mexico, June 20-23, 2013

Reference 18

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Pattern Recognit

Reference 19

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This paper cites In: Binnig, C., Hellerstein, J.M., Parameswaran, A.G.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Binnig, C., Hellerstein, J.M., Parameswaran, A.G

Reference 20

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Guyon, I., von Luxburg, U., Bengio, S., Wallach, H.M., Fer- gus, R., Vishwanathan, S.V.N., Garnett, R

Reference 22

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (1996), DOI: https://doi.org/10.24432/C5388M

Reference 24

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (1991), DOI: https://doi.org/10.24432/C5KG68

Reference 26

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (1987), DOI: https://doi.org/10.24432/C5FS30

Reference 27

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models why should I trust you?

Reference 28

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: McIlraith, S.A., Weinberger, K.Q

Reference 29

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Cambridge University Press (2014) 22 A

Reference 30

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models UCI Machine Learning Repository (1976), DOI: https://doi.org/10.24432/C5488X

Reference 32

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Reference 33

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Feng, L., Fisman, D

Reference 34

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: FMCAD

Reference 35

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: ACML

Reference 36

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Observation be60cbee-0419-4d72-ad83-d9d6f49888bc · outbound

This paper cites In: Simonis, H.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Simonis, H

Reference 37

Resolution
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This paper cites In: Williams, B., Chen, Y., Neville, J.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models In: Williams, B., Chen, Y., Neville, J

Reference 38

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Observation e1d8a39d-5afa-4f6c-901b-8247eca93792 · outbound

This paper cites an unresolved cited work.

Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Unresolved cited work

Reference 39

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Unresolved cited work

Reference 330

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Locally Pareto-Optimal Interpretations for Black-Box Machine Learning Models Unresolved cited work

Reference 970

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Pith citing papers

No inbound Pith citation observations are available.