Paper Citation Record · LEDGER

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 31 inbound Pith citation observations for arXiv:2006.11371.

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

pith.paper-citation-record.v1
2006.11371 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 31 of 31 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 31 of 31 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:52:07.135083Z

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
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External citation measurements

498
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 2689bd37-69c7-43dc-882f-9d334ff4c0cc · inbound

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions cites this paper.

Industry Practitioners Perspectives on AI Model Quality: Perceptions, Challenges, and Solutions Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-24T04:23:52.868067Z

Source-reported events for the cited work

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Observation 8bda8596-299a-45cf-878e-a430e4839162 · inbound

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis cites this paper.

Enhancing Interpretability of Quantum-Assisted Blockchain Clustering via AI Agent-Based Qualitative Analysis Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 8

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Source-reported events for the cited work

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Observation 5520ffe0-befa-4598-b4f9-a72e204a4bc2 · inbound

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability cites this paper.

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 19

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Observation 1c806957-c1bc-4ce1-a21f-14b2cd3f5338 · inbound

Iterative Self-Improvement of Vision Language Models for Image Scoring and Self-Explanation cites this paper.

Iterative Self-Improvement of Vision Language Models for Image Scoring and Self-Explanation Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 7

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Observation 5bcd2649-336e-4dde-8b05-e4773440e1ab · inbound

Human-Centered Explainability in Interactive Information Systems: A Survey cites this paper.

Human-Centered Explainability in Interactive Information Systems: A Survey Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 163

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Source-reported events for the cited work

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Observation fe604445-99a2-4bc1-8d88-3b1b8b198c6f · inbound

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values cites this paper.

DeltaSHAP: Explaining Prediction Evolutions in Online Patient Monitoring with Shapley Values Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T20:38:16.489445Z

Source-reported events for the cited work

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Observation 489c0ef0-f354-42e1-a11a-235f990ce760 · inbound

"So, Tell Me About Your Policy...": Distillation of interpretable policies from Deep Reinforcement Learning agents cites this paper.

"So, Tell Me About Your Policy...": Distillation of interpretable policies from Deep Reinforcement Learning agents Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 8

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Source-reported events for the cited work

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Observation 29375763-777c-42de-84f2-b613f6c64a27 · inbound

A Taxonomy for Design and Evaluation of Prompt-Based Natural Language Explanations cites this paper.

A Taxonomy for Design and Evaluation of Prompt-Based Natural Language Explanations Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 2018

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Source-reported events for the cited work

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Observation 48016e11-3500-4081-a7d6-d8617d722bbc · inbound

Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI cites this paper.

Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 2020

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Source-reported events for the cited work

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Observation 9eff17e0-503a-407d-b186-f50fa903ed04 · inbound

SHAP-Guided Regularization in Machine Learning Models cites this paper.

SHAP-Guided Regularization in Machine Learning Models Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f6fda76-aa6e-4281-9850-acf60f586817 · inbound

ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations cites this paper.

ELASTIC: Event-Tracking Data Synchronization in Soccer Without Annotated Event Locations Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 2025

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Source-reported events for the cited work

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Observation 2f635a3c-ef6c-48bf-9f4d-eb96f78cf857 · inbound

Attribution Graphs and Causal Probing for Mechanistic Discovery and Bias Repair in Multimodal Generative Learning cites this paper.

Attribution Graphs and Causal Probing for Mechanistic Discovery and Bias Repair in Multimodal Generative Learning Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-18T07:11:02.908740Z

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 c6a9471e-2fd6-4eb3-85f8-6f7b57dcee75 · inbound

Attribution Graphs and Causal Probing for Mechanistic Discovery and Bias Repair in Multimodal Generative Learning cites this paper.

Attribution Graphs and Causal Probing for Mechanistic Discovery and Bias Repair in Multimodal Generative Learning Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 16

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Observation e9e428ee-9a8e-46f1-9828-c3f91fdd4964 · inbound

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata cites this paper.

A Multi-level Analysis of Factors Associated with Student Performance: A Machine Learning Approach to the SAEB Microdata Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T08:12:15.091724Z

Source-reported events for the cited work

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Observation 5fa6f198-f49b-41e3-9be5-3f0bba130291 · inbound

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring cites this paper.

Delta-XAI: A Unified Framework for Explaining Prediction Changes in Online Time Series Monitoring Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:11:30.723724Z

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 aedf83b6-733c-4b36-be38-bede7a4acf28 · inbound

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

DCFO: Density-Based Counterfactuals for Outliers -- Additional Material Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 11

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Source-reported events for the cited work

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Observation 2cde6c67-7152-4733-82a7-433bd8b25949 · inbound

X-SYS: A Reference Architecture for Interactive Explanation Systems cites this paper.

X-SYS: A Reference Architecture for Interactive Explanation Systems Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:46:46.085878Z

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 ea4e773a-0a3b-49be-a00c-42ce9896f377 · inbound

From Attribution to Action: A Human-Centered Application of Activation Steering cites this paper.

From Attribution to Action: A Human-Centered Application of Activation Steering Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:04.748797Z

Source-reported events for the cited work

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Observation 07ac4d0a-b01f-4913-8dce-1218043003f8 · inbound

From Attribution to Action: A Human-Centered Application of Activation Steering cites this paper.

From Attribution to Action: A Human-Centered Application of Activation Steering Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 12

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Observation 993cc708-6a3b-4251-9f16-3ebc1860c5cf · inbound

Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making cites this paper.

Interpretable and Explainable Surrogate Modeling for Simulations: A State-of-the-Art Survey and Perspectives on Explainable AI for Decision-Making Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 127

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.422323Z

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Observation 41fd163c-54eb-4345-bb53-6fd750adb729 · inbound

Using Learning Theories to Evolve Human-Centered XAI: Future Perspectives and Challenges cites this paper.

Using Learning Theories to Evolve Human-Centered XAI: Future Perspectives and Challenges Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:13:24.919900Z

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Observation 4db32df1-c559-4879-93db-1ac93722e040 · inbound

A New Technique for AI Explainability using Feature Association Map cites this paper.

A New Technique for AI Explainability using Feature Association Map Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 7

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Observation c317b914-949c-4a5d-b01f-b486ef07e2ae · inbound

A New Technique for AI Explainability using Feature Association Map cites this paper.

A New Technique for AI Explainability using Feature Association Map Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 7

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Observation 92b698a8-8a0e-4070-aee0-b24421b88964 · inbound

A New Technique for AI Explainability using Feature Association Map cites this paper.

A New Technique for AI Explainability using Feature Association Map Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T05:39:47.628621Z

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Observation fe4ea48d-dcf8-471b-ac15-d11b1cf51e98 · inbound

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces cites this paper.

Correcting Influence: Unboxing LLM Outputs with Orthogonal Latent Spaces Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 176

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Observation f5fd4c69-f071-43a7-a381-3401fda0ba5f · inbound

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

UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 26

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Observation 85da59e1-51b6-400f-99bd-a07caa8556ab · inbound

OPTIMUS-Prime: Minimal and Sufficient Concept Explanations for Deep Vision Models cites this paper.

OPTIMUS-Prime: Minimal and Sufficient Concept Explanations for Deep Vision Models Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-02T17:37:14.490712Z

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Observation 7ddb3bfc-9263-487d-86e9-e01ee88cae90 · inbound

The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks cites this paper.

The Unseen Hand: Manipulating Model Fairness and SHAP with Targeted Identity Re-Association Attacks Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-04T10:09:44.816655Z

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Observation 6e48ae59-c3ff-4e97-9f31-a14299f86578 · inbound

From Plausible to Actionable: A Position on LLM Self-Explanations cites this paper.

From Plausible to Actionable: A Position on LLM Self-Explanations Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 81

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Observation 6fbb8934-72b7-4644-ac23-ae088188ae10 · inbound

Concept-based Visual Counterfactual Explanations with Diffusion Models cites this paper.

Concept-based Visual Counterfactual Explanations with Diffusion Models Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T14:57:27.890325Z

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Observation 73c833e5-8f27-4535-a4ad-a93089a40c0e · inbound

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations cites this paper.

(EC)2: Event-Centric Explainability for Cybersecurity Through Multi-Agent LLM Investigations Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

Reference 11

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