Paper Citation Record · LEDGER

Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 inbound Pith citation observations for arXiv:2010.10596.

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

pith.paper-citation-record.v1
2010.10596 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:35:49.524254Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

58
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8f0da65a-916f-457c-afbf-b88d3f7e5b17 · inbound

Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk cites this paper.

Explainable bank failure prediction models: Counterfactual explanations to reduce the failure risk Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:53:32.993240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ce5f7153-5647-42ae-83b5-bd03fb7543d3 · inbound

Learning-Augmented Robust Algorithmic Recourse cites this paper.

Learning-Augmented Robust Algorithmic Recourse Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-05-23T19:45:47.278371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b9615618-5ae2-4a39-a856-256d7132e6c4 · inbound

Pareto Optimal Algorithmic Recourse in Multi-cost Function cites this paper.

Pareto Optimal Algorithmic Recourse in Multi-cost Function Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-08T13:30:36.612623Z

Source-reported events for the cited work

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Observation f6663640-2b9e-4f91-8db6-6ebc4111ae92 · inbound

Model-Free Counterfactual Subset Selection at Scale cites this paper.

Model-Free Counterfactual Subset Selection at Scale Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T05:38:45.627382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96491fb3-4d20-4d9c-8426-c923c82e6106 · inbound

Are machine learning interpretations reliable? A stability study on global interpretations cites this paper.

Are machine learning interpretations reliable? A stability study on global interpretations Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 127

Resolution: unresolved; no resolver link, observed 2026-08-07T15:15:42.136057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71eb8282-6776-447c-b9e8-46ff3060f898 · inbound

XplainAct: Visualization for Personalized Intervention Insights cites this paper.

XplainAct: Visualization for Personalized Intervention Insights Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T15:51:57.866019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5853bb61-c6f7-4b38-82ca-e5b5802ae86e · inbound

CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics cites this paper.

CoFE: A Framework Generating Counterfactual ECG for Explainable Cardiac AI-Diagnostics Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T17:38:28.502514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a76f9a2-41dd-442e-953a-570b7740f446 · inbound

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation cites this paper.

VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T16:10:53.498457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb4d0859-8ace-4667-9c3b-e55c7f914a1b · inbound

Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety cites this paper.

Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-05T14:05:24.874661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d092b7c-0f35-4ef3-8978-0f5127ac1e28 · inbound

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples cites this paper.

Enhancing Interpretability and Effectiveness in Recommendation with Numerical Features via Learning to Contrast the Counterfactual samples Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T11:11:38.513278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ce34d3-73e7-4cbe-ac71-39f31f7773e2 · inbound

Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations cites this paper.

Back to the Feature: Explaining Video Classifiers with Video Counterfactual Explanations Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-03T20:23:57.914248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1e3f867-170a-43ec-81c0-844c72b11674 · inbound

DCFO: Density-Based Counterfactuals for Outliers -- Additional Material cites this paper.

DCFO: Density-Based Counterfactuals for Outliers -- Additional Material Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-03T17:10:46.337609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 209a0623-59f0-4d4c-bb2e-922dcc3183f5 · inbound

A Neuro-Symbolic Framework for Accountability in Public-Sector AI cites this paper.

A Neuro-Symbolic Framework for Accountability in Public-Sector AI Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 57

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T23:28:40.982987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 64fa17d7-10f9-4bdb-b5ca-6b7bb07a27ae · inbound

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection cites this paper.

AULLM++: Structured-Token-Conditioned Large Language Models for Micro-Expression Action Unit Detection Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 30

Resolution: unresolved; no resolver link, observed 2026-07-15T12:40:55.565397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cfa6b82d-8fae-4d81-bd20-741c0d250b3c · inbound

From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse cites this paper.

From Universal to Individualized Actionability: Revisiting Personalization in Algorithmic Recourse Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-11T06:15:56.466559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0daccca3-75d5-4bb5-8d8a-910e88b53874 · inbound

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management cites this paper.

A Meta Reinforcement Learning Approach to Goals-Based Wealth Management Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 280

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:44:01.283945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0f6a8c1-4d97-4587-943f-bd9a3047a12b · inbound

Optimal Counterfactual Search in Tree Ensembles: A Study Across Modeling and Solution Paradigms cites this paper.

Optimal Counterfactual Search in Tree Ensembles: A Study Across Modeling and Solution Paradigms Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:16:09.371044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 281a9b84-6d99-49a6-83a6-d0aede027a14 · inbound

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models cites this paper.

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:43:19.553333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f425aac4-3e4f-4ad5-8bc8-b6f7ba27b882 · inbound

Profit-Based Counterfactual Explanations for Product Improvement: A Case Study of Manga Sales in Japan cites this paper.

Profit-Based Counterfactual Explanations for Product Improvement: A Case Study of Manga Sales in Japan Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:32.465086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8c5cdd0c-b3f7-4809-9595-0032f1259061 · inbound

Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods cites this paper.

Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T10:46:48.857517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a081e2d-d44e-469a-9699-cb4f78004030 · inbound

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability cites this paper.

Trustworthy AI in Digital Health: A Comprehensive Review of Robustness and Explainability Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 129

Resolution: unresolved; no resolver link, observed 2026-08-04T10:56:23.116807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3bde6c4-f908-4565-add6-32f08ecfb708 · inbound

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation cites this paper.

Negotiating Risk Boundaries in AI for Policing Through Mixed-Stakeholder Deliberation Counterfactual Explanations and Algorithmic Recourses for Machine Learning: A Review

Reference 146

Resolution: unresolved; no resolver link, observed 2026-08-08T13:35:49.524254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.