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Paper Citation Record · LEDGER

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning

As of 22 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2504.19027.

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

pith.paper-citation-record.v1
2504.19027 v2

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:08:40.581325Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

22 of 22 outbound references displayed

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  • verified fuzzy4
  • unresolved13
  • parse uncertain0
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External citation measurements

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Outbound references

Observation 9fa4bc6e-1db6-4d21-a872-2ce4ea36e895 · outbound

This paper cites OpenIntro Dataset (Unk nown), https://www.openintro.org/data/index.php?data=loans_full_schema.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning OpenIntro Dataset (Unk nown), https://www.openintro.org/data/index.php?data=loans_full_schema

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 6d148fd8-a359-471c-ae68-d7e2bb4c00fd · outbound

This paper cites UCI Machine Learning Repos itory (1996), DOI: https://doi.org/10.24432/C5XW20.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning UCI Machine Learning Repos itory (1996), DOI: https://doi.org/10.24432/C5XW20

Reference 2

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Observation 320da1c1-79fa-4af7-b8cb-b57534cfb30a · outbound

This paper cites In: International conference on parallel prob lem solving from nature.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning In: International conference on parallel prob lem solving from nature

Reference 3

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Observation 7e4b9a90-d8e5-4978-9612-e5c88b786cc1 · outbound

This paper cites Interna- tional Journal of Human–Computer Interaction 40(1), 33–44 (2024).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Interna- tional Journal of Human–Computer Interaction 40(1), 33–44 (2024)

Reference 4

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Observation c33a9d0e-f921-438e-b26b-2ade516c2884 · outbound

This paper cites Cognitive Computation 16(5), 2660–2673 (2024).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Cognitive Computation 16(5), 2660–2673 (2024)

Reference 5

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verified exact
doi, observed 2026-08-16T10:08:40.765475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation b05dbd34-4190-42e7-84e1-f37f61306d09 · outbound

This paper cites In: World Con- ference on Explainable Artificial Intelligence.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning In: World Con- ference on Explainable Artificial Intelligence

Reference 6

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verified exact
doi, observed 2026-08-16T10:08:40.746638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 281bce58-7d19-41e6-9467-0386791b7771 · outbound

This paper cites Advances i n Neural Information Pro- cessing Systems 37, 137105–137134 (2024).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Advances i n Neural Information Pro- cessing Systems 37, 137105–137134 (2024)

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation bb58cbc6-d983-475a-85c5-8ec46bd823e7 · outbound

This paper cites IEEE Access 10, 82736–82750 (2022).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning IEEE Access 10, 82736–82750 (2022)

Reference 8

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Observation dda5ea3d-785d-46e6-b00f-8666d0b9a16b · outbound

This paper cites ACM Com puting Surveys 56(9), 1–33 (2024).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning ACM Com puting Surveys 56(9), 1–33 (2024)

Reference 9

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Observation 715c3e2e-a421-4878-8d54-02d368ab8015 · outbound

This paper cites Interpretable Credit Application Predictions With Counterfactual Explanations.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Interpretable Credit Application Predictions With Counterfactual Explanations

Reference 10

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Observation 15193dcd-11c8-465d-8fb1-3a36778ccf19 · outbound

This paper cites OpenML Dataset #4 5039 (2023), https://api.openml.org/d/45039.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning OpenML Dataset #4 5039 (2023), https://api.openml.org/d/45039

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation a0f7a6ca-3341-4231-83c3-992291ecf865 · outbound

This paper cites In: Proceedings of the 32nd ACM In- ternational Conference on Information and Knowledge Manag ement.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning In: Proceedings of the 32nd ACM In- ternational Conference on Information and Knowledge Manag ement

Reference 12

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Observation 7d50f56e-afeb-46ee-856d-add9df471452 · outbound

This paper cites In: 2019 International Conference o n Information and Communication Technology Convergence (ICTC).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning In: 2019 International Conference o n Information and Communication Technology Convergence (ICTC)

Reference 13

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Observation 7e377c7c-1fcc-462a-8631-a9f22123ec7e · outbound

This paper cites Metrics for Explainable AI: Challenges and Prospects.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Metrics for Explainable AI: Challenges and Prospects

Reference 14

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Observation c20a5146-2591-4d03-997a-550cfda4cc0a · outbound

This paper cites UCI Machine L earning Repository (1994), DOI: https://doi.org/10.24432/C5NC77 12 Bakir et al.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning UCI Machine L earning Repository (1994), DOI: https://doi.org/10.24432/C5NC77 12 Bakir et al

Reference 15

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Observation 6f720ed0-6f0e-4a22-b151-5a67bdb1b772 · outbound

This paper cites In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning In: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency

Reference 16

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Unavailable: canonical work link unavailable.

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Observation 67a5ad6f-da1f-418c-bd42-fd5d74ccc6c5 · outbound

This paper cites Expert Systems with Applications 266, 126063 (2025).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Expert Systems with Applications 266, 126063 (2025)

Reference 17

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation ab97df20-c5d1-4ba1-aae3-1a59816e9db8 · outbound

This paper cites In: Interna- tional Conference on Artificial Intelligence and Statistic s.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning In: Interna- tional Conference on Artificial Intelligence and Statistic s

Reference 18

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation cb47d90a-98db-4d56-91ab-16824369e080 · outbound

This paper cites Proceeding s of the 2020 Con- ference on Fairness, Accountability, and Transparency pp.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning Proceeding s of the 2020 Con- ference on Fairness, Accountability, and Transparency pp

Reference 19

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Observation 2530358d-4b13-4e9c-bb89-e45025bb9ef4 · outbound

This paper cites IEEE Transactions on Dependable and S ecure Computing (2023).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning IEEE Transactions on Dependable and S ecure Computing (2023)

Reference 20

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Observation c36b6b5a-4b7f-4938-a9aa-0d97a8e105bd · outbound

This paper cites In: International Conference on Artificial Neural Networks.

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning In: International Conference on Artificial Neural Networks

Reference 21

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 83d4ae36-b55d-4a20-8693-950de5ffbf96 · outbound

This paper cites IEEE Transactions on Automation Science and Engineer ing 21(3), 2264–2275 (2023).

DiCE-Extended: A Robust Approach to Counterfactual Explanations in Machine Learning IEEE Transactions on Automation Science and Engineer ing 21(3), 2264–2275 (2023)

Reference 22

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