{"total":48,"rows":[{"id":"2302.08160","title":"The Inadequacy of Shapley Values for Explainability","created":"2023-02-16","cited_by_count":31,"area":null},{"id":"2307.07514","title":"Explainability is NOT a Game","created":"2023-06-27","cited_by_count":23,"area":null},{"id":"2406.02981","title":"Local vs. Global Interpretability: A Computational Complexity Perspective","created":"2024-06-05","cited_by_count":23,"area":null},{"id":"2405.08297","title":"Distance-Restricted Explanations: Theoretical Underpinnings & Efficient Implementation","created":"2024-05-14","cited_by_count":21,"area":null},{"id":"2506.08505","title":"Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations","created":"2025-06-10","cited_by_count":13,"area":null},{"id":"2306.01744","title":"Disproving XAI Myths with Formal Methods -- Initial Results","created":"2023-05-13","cited_by_count":12,"area":null},{"id":"2502.03391","title":"Explain Yourself, Briefly! Self-Explaining Neural Networks with Concise Sufficient Reasons","created":"2025-02-05","cited_by_count":12,"area":null},{"id":"2307.03380","title":"On Formal Feature Attribution and Its Approximation","created":"2023-07-07","cited_by_count":11,"area":null},{"id":"2405.01636","title":"Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey","created":"2024-05-02","cited_by_count":11,"area":null},{"id":"2502.02719","title":"Beyond Topological Self-Explainable GNNs: A Formal Explainability Perspective","created":"2025-02-04","cited_by_count":11,"area":null},{"id":"2405.11766","title":"From SHAP Scores to Feature Importance Scores","created":"2024-05-20","cited_by_count":8,"area":null},{"id":"2510.21599","title":"SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism","created":"2025-10-24","cited_by_count":8,"area":null},{"id":"2511.22498","title":"Space Explanations of Neural Network Classification","created":"2025-11-27","cited_by_count":5,"area":null},{"id":"2309.03041","title":"A Refutation of Shapley Values for Explainability","created":"2023-09-06","cited_by_count":4,"area":null},{"id":"2310.00416","title":"Refutation of Shapley Values for XAI -- Additional Evidence","created":"2023-09-30","cited_by_count":4,"area":null},{"id":"2310.11636","title":"A Uniform Language to Explain Decision Trees","created":"2023-10-18","cited_by_count":4,"area":null},{"id":"2512.00164","title":"Faster Verified Explanations for Neural Networks","created":"2025-11-28","cited_by_count":4,"area":null},{"id":"2407.15780","title":"Explaining Decisions in ML Models: a Parameterized Complexity Analysis","created":"2024-07-22","cited_by_count":3,"area":null},{"id":"2408.12927","title":"Abductive and Contrastive Explanations for Scoring Rules in Voting","created":"2024-08-23","cited_by_count":3,"area":null},{"id":"2501.06766","title":"On the Complexity of Global Necessary Reasons to Explain Classification","created":"2025-01-12","cited_by_count":3,"area":null},{"id":"2507.08454","title":"Why this and not that? A Logic-based Framework for Contrastive Explanations","created":"2025-07-11","cited_by_count":3,"area":null},{"id":"2603.10661","title":"FAME: Formal Abstract Minimal Explanation for Neural Networks","created":"2026-03-11","cited_by_count":3,"area":null},{"id":"2303.02829","title":"Attribution-Scores and Causal Counterfactuals as Explanations in Artificial Intelligence","created":"2023-03-06","cited_by_count":2,"area":null},{"id":"2406.11873","title":"Logic-Based Explainability: Past, Present & Future","created":"2024-06-04","cited_by_count":2,"area":null},{"id":"2408.10362","title":"Query languages for neural networks","created":"2024-08-19","cited_by_count":2,"area":null},{"id":"2507.12913","title":"Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI","created":"2025-07-17","cited_by_count":2,"area":null},{"id":"2509.09312","title":"Explaining Tournament Solutions with Minimal Supports","created":"2025-09-11","cited_by_count":2,"area":null},{"id":"2601.03201","title":"Recursive querying of neural networks via weighted structures","created":"2026-01-06","cited_by_count":2,"area":null},{"id":"2302.06836","title":"COMET: Neural Cost Model Explanation Framework","created":"2023-02-14","cited_by_count":1,"area":null},{"id":"2308.15901","title":"Explainable Answer-set Programming","created":"2023-08-30","cited_by_count":1,"area":null},{"id":"2501.11429","title":"The Explanation Game -- Rekindled (Extended Version)","created":"2025-01-20","cited_by_count":1,"area":null},{"id":"2505.09640","title":"Feature Relevancy, Necessity and Usefulness: Complexity and Algorithms","created":"2025-05-06","cited_by_count":1,"area":null},{"id":"2509.09482","title":"Database Views as Explanations for Relational Deep Learning","created":"2025-09-11","cited_by_count":1,"area":null},{"id":"2511.03169","title":"Uncovering Bugs in Formal Explainers: A Case Study with PyXAI","created":"2025-11-05","cited_by_count":1,"area":null},{"id":"2602.17530","title":"Provably Explaining Neural Additive Models","created":"2026-02-19","cited_by_count":1,"area":null},{"id":"2402.05680","title":"Interpretable classifiers for tabular data via discretization and feature selection","created":"2024-02-08","cited_by_count":0,"area":null},{"id":"2410.07867","title":"The Sets of Power","created":"2024-10-10","cited_by_count":0,"area":null},{"id":"2509.10206","title":"Feature Attribution in 5G Intrusion Detection: A Statistical vs. Logic-Based Comparison","created":"2025-09-12","cited_by_count":0,"area":null},{"id":"2509.17774","title":"Efficient & Correct Predictive Equivalence for Decision Trees","created":"2025-09-22","cited_by_count":0,"area":null},{"id":"2510.15986","title":"User Profiles of Sleep Disorder Sufferers: Towards Explainable Clustering and Differential Variable Analysis","created":"2025-10-13","cited_by_count":0,"area":null},{"id":"2511.03545","title":"Explaining Decisions in ML Models: a Parameterized Complexity Analysis (Part I)","created":"2025-11-05","cited_by_count":0,"area":null},{"id":"2603.14007","title":"Formal Abductive Explanations for Navigating Mental Health Help-Seeking and Diversity in Tech Workplaces","created":"2026-03-14","cited_by_count":0,"area":null},{"id":"2604.15898","title":"Towards Rigorous Explainability by Feature Attribution","created":"2026-04-17","cited_by_count":0,"area":null},{"id":"2606.25103","title":"Beyond Shapley: Efficient Computation of Asymmetric Shapley Values","created":"2026-06-23","cited_by_count":0,"area":null},{"id":"2607.06407","title":"ExplAIner: A Declarative Query Language for Explaining Classification Models","created":"2026-07-07","cited_by_count":0,"area":null},{"id":"2607.24074","title":"MiSS: A Logic-Driven Explanation of Minimal Sufficient Coalitions for Point Cloud Classifiers","created":"2026-07-27","cited_by_count":0,"area":null},{"id":"2609.14099","title":"Neuron Activation-based Computation of Logical Explanations for Deep Neural Networks","created":"2026-09-12","cited_by_count":0,"area":null},{"id":"2610.03526","title":"Beyond Trained Models: Compiling GNNs for a Sound Explainer Benchmark","created":"2026-10-02","cited_by_count":0,"area":null}],"next_cursor":null}