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Paper Citation Record · LEDGER

Challenges in Evaluating Explanation Methods for Static and Evolving Data

As of 9 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2608.06351.

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

pith.paper-citation-record.v1
2608.06351 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:40:28.262423Z

measured 31 of 31 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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

31 of 31 outbound references displayed

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External citation measurements

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Outbound references

Observation bb143bd0-58b6-462c-a743-623a680cd3d5 · outbound

This paper cites Nature Machine Intelligence5, 1006–1019 (09 2023).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Nature Machine Intelligence5, 1006–1019 (09 2023)

Reference 1

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Observation c39c0ff3-ec98-445d-b340-92a522df37cd · outbound

This paper cites Information fusion58, 82–115 (2020).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Information fusion58, 82–115 (2020)

Reference 2

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Observation 6810bcba-10d3-4da8-b2b4-9f66229d78e2 · outbound

This paper cites Advances in Neural Information Processing Systems29(2016) 12 Jerzy Stefanowski.

Challenges in Evaluating Explanation Methods for Static and Evolving Data Advances in Neural Information Processing Systems29(2016) 12 Jerzy Stefanowski

Reference 3

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This paper cites In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence.

Challenges in Evaluating Explanation Methods for Static and Evolving Data In: Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence

Reference 4

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Observation 46fce5b5-662a-44ed-9a54-b6c65f4a591b · outbound

This paper cites Towards A Rigorous Science of Interpretable Machine Learning.

Challenges in Evaluating Explanation Methods for Static and Evolving Data Towards A Rigorous Science of Interpretable Machine Learning

Reference 5

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This paper cites Master’s thesis, Poznan University of Technology, Faculty of Computer Science and Telecommunication (2023).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Master’s thesis, Poznan University of Technology, Faculty of Computer Science and Telecommunication (2023)

Reference 6

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Observation 91b1c538-90f1-4298-906d-dff876cfccbe · outbound

This paper cites Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels.

Challenges in Evaluating Explanation Methods for Static and Evolving Data Unifying Perspectives: Plausible Counterfactual Explanations on Global, Group-wise, and Local Levels

Reference 7

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Observation 569b91ed-54ac-430a-94b5-f0c37f93363e · outbound

This paper cites Artificial Intelligence291, 103428 (02 2021).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Artificial Intelligence291, 103428 (02 2021)

Reference 8

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Observation bec5e570-6f2d-4f97-9e20-b217de065fcd · outbound

This paper cites Data Mining and Knowledge Discovery pp.

Challenges in Evaluating Explanation Methods for Static and Evolving Data Data Mining and Knowledge Discovery pp

Reference 9

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Observation f946331e-12c1-47fd-a66b-ff431cec46ef · outbound

This paper cites ACM computing surveys (CSUR)51(5), 1–42 (2018).

Challenges in Evaluating Explanation Methods for Static and Evolving Data ACM computing surveys (CSUR)51(5), 1–42 (2018)

Reference 10

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Observation 69ecd82f-71aa-4857-ac0b-642e9ea46b55 · outbound

This paper cites Statistical Science 21(1), 1–14 (2006).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Statistical Science 21(1), 1–14 (2006)

Reference 11

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Observation 1e999c60-c8dc-422e-b8ac-42515a520dfb · outbound

This paper cites Neurocomputing555, 126640 (2023).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Neurocomputing555, 126640 (2023)

Reference 12

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This paper cites Information Fusion p.

Challenges in Evaluating Explanation Methods for Static and Evolving Data Information Fusion p

Reference 13

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This paper cites ACM Computing Surveys55(2), 1–38 (2022).

Challenges in Evaluating Explanation Methods for Static and Evolving Data ACM Computing Surveys55(2), 1–38 (2022)

Reference 14

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This paper cites In: Pro- ceedings of the Fortieth AAAI Conference on Artificial Intelligence.

Challenges in Evaluating Explanation Methods for Static and Evolving Data In: Pro- ceedings of the Fortieth AAAI Conference on Artificial Intelligence

Reference 15

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Observation a7c03322-ec56-4c0b-8b43-92d1156804a5 · outbound

This paper cites Applied Sciences12(19) (2022).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Applied Sciences12(19) (2022)

Reference 16

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites IEEE Transactions on Knowledge and Data EngineeringPP, 1–1 (10 2018).

Challenges in Evaluating Explanation Methods for Static and Evolving Data IEEE Transactions on Knowledge and Data EngineeringPP, 1–1 (10 2018)

Reference 17

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This paper cites ACM Computing Surveys54(6) (Jul 2021).

Challenges in Evaluating Explanation Methods for Static and Evolving Data ACM Computing Surveys54(6) (Jul 2021)

Reference 18

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Observation f9104e27-d722-41b5-bbe6-aba4b2f84829 · outbound

This paper cites Frontiers in Artificial Intelligence (2022).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Frontiers in Artificial Intelligence (2022)

Reference 19

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This paper cites In: Proceedings of the 43rd International Conference on Machine Learning (ICML) (2026).

Challenges in Evaluating Explanation Methods for Static and Evolving Data In: Proceedings of the 43rd International Conference on Machine Learning (ICML) (2026)

Reference 20

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Observation 73397d0b-e31f-4949-b242-f7258075d1eb · outbound

This paper cites Algorithms18(7) (2025) Challenges in evaluating explanation methods.

Challenges in Evaluating Explanation Methods for Static and Evolving Data Algorithms18(7) (2025) Challenges in evaluating explanation methods

Reference 21

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Challenges in Evaluating Explanation Methods for Static and Evolving Data ACM Comput

Reference 22

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This paper cites Computers and Electrical Engineering118, 109370 (2024).

Challenges in Evaluating Explanation Methods for Static and Evolving Data Computers and Electrical Engineering118, 109370 (2024)

Reference 23

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This paper cites In: Asian Conference on Intelligent Information and Database Systems ACIIDS 2023.

Challenges in Evaluating Explanation Methods for Static and Evolving Data In: Asian Conference on Intelligent Information and Database Systems ACIIDS 2023

Reference 24

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This paper cites International Journal of Applied Mathematics and Computer Science34(1), 119– 133 (2024).

Challenges in Evaluating Explanation Methods for Static and Evolving Data International Journal of Applied Mathematics and Computer Science34(1), 119– 133 (2024)

Reference 25

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Challenges in Evaluating Explanation Methods for Static and Evolving Data Unresolved cited work

Reference 26

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This paper cites In: Joint European Confer- ence on Machine Learning and Knowledge Discovery in Databases.

Challenges in Evaluating Explanation Methods for Static and Evolving Data In: Joint European Confer- ence on Machine Learning and Knowledge Discovery in Databases

Reference 27

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Observation 6bfc9199-7bfd-4c6c-b56d-f98210dce4c7 · outbound

This paper cites Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps.

Challenges in Evaluating Explanation Methods for Static and Evolving Data Investigating the Relationship Between Debiasing and Artifact Removal using Saliency Maps

Reference 28

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This paper cites IEEE AccessPP, 1–1 (01 2025).

Challenges in Evaluating Explanation Methods for Static and Evolving Data IEEE AccessPP, 1–1 (01 2025)

Reference 29

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This paper cites ACM Computing Surveys (2020).

Challenges in Evaluating Explanation Methods for Static and Evolving Data ACM Computing Surveys (2020)

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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This paper cites In: Proceedins of ECAI 2024 Conference, pp.

Challenges in Evaluating Explanation Methods for Static and Evolving Data In: Proceedins of ECAI 2024 Conference, pp

Reference 31

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Pith citing papers

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