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Paper Citation Record · LEDGER

The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2202.01602.

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

pith.paper-citation-record.v1
2202.01602 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 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 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:41:10.497709Z

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

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External citation measurements

43
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 01ee867a-6362-46b4-ac77-69f526965295 · inbound

Trading off performance and human oversight in algorithmic policy: evidence from Danish college admissions cites this paper.

Trading off performance and human oversight in algorithmic policy: evidence from Danish college admissions The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 59

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no resolver link, observed 2026-08-12T14:33:05.896799Z

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source=pdf_text observed=2026-08-12T14:33:05.896799Z digest=sha256:d65c7b1a55c326bea3fde66b33345fa5096b01f20f7076db72304161e146aca9

Observation e43b2fbd-e219-4d9b-b3c9-8ccf54c7a17b · inbound

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation cites this paper.

From Flexibility to Manipulation: The Slippery Slope of XAI Evaluation The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 33

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no resolver link, observed 2026-08-11T20:38:59.087658Z

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source=pdf_text observed=2026-08-11T20:38:59.087658Z digest=sha256:ecaab17857451cfe075ad5d8eb7d5e30047ceac7f628f054ffffa131f2e4d8a1

Observation e43b2839-1002-4504-9f4f-8a10f2919e21 · inbound

Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity cites this paper.

Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 19

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no resolver link, observed 2026-08-11T15:32:43.829872Z

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source=pdf_text observed=2026-08-11T15:32:43.829872Z digest=sha256:14ddcfac17292f4d0f993454533111fd92c646942b520368062a646b4f1108f4

Observation c597a7ac-e74d-4dc2-9036-5d3461781639 · inbound

MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data cites this paper.

MATCHED: Multimodal Authorship-Attribution To Combat Human Trafficking in Escort-Advertisement Data The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 48

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no resolver link, observed 2026-08-11T12:50:11.678209Z

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source=arxiv_source observed=2026-08-11T12:50:11.678209Z digest=sha256:42b77b5635f9330a3fe4c55f81cbdb7851e30362847164eba4750093d6ff3945

Observation 1acff20f-cac3-4a86-ab7b-39b70b9bad11 · inbound

Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry cites this paper.

Reconciling Privacy and Explainability in High-Stakes: A Systematic Inquiry The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 16

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no resolver link, observed 2026-08-10T23:15:09.232108Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:15:09.232108Z digest=sha256:5d2c7967bf625652a7966d515334a5cf661ea8a2e075d611edce96a625ee5559

Observation f6002515-dc92-49b2-8fdd-f32cf8ff658b · inbound

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations cites this paper.

The State of Post-Hoc Local XAI Techniques for Image Processing: Challenges and Motivations The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 37

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no resolver link, observed 2026-08-10T21:26:52.616781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:26:52.616781Z digest=sha256:7e0d14bfab8e64ec0a75335a6549a0f32abf59e810b5b967a7508c44447a6e6d

Observation 7f4d1b17-84a1-4ae0-9e5c-8687765ae3bf · inbound

Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI cites this paper.

Hybrid Interpretable Deep Learning Framework for Skin Cancer Diagnosis: Integrating Radial Basis Function Networks with Explainable AI The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 28

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no resolver link, observed 2026-08-10T14:54:22.105422Z

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source=pdf_text observed=2026-08-10T14:54:22.105422Z digest=sha256:1900b183f0579023da5c3c39bc6bb1be9df3562397b8f2637ea805d7ce5719e5

Observation c8bc4506-8ddf-4379-ba4a-9b67b37431f6 · inbound

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations cites this paper.

Integrating Explainable AI in Medical Devices: Technical, Clinical and Regulatory Insights and Recommendations The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 12

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no resolver link, observed 2026-08-15T22:41:10.497709Z

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source=pdf_text observed=2026-08-15T22:41:10.497709Z digest=sha256:233f9b84c50c7b7bdc5e5693ffbd2f37ffabaacbe6331a608c85f68d51a01185

Observation fc33f939-5319-4002-9284-4208845dd7ac · inbound

Multi-criteria Rank-based Aggregation for Explainable AI cites this paper.

Multi-criteria Rank-based Aggregation for Explainable AI The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 10

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no resolver link, observed 2026-08-07T12:23:07.164904Z

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source=pdf_text observed=2026-08-07T12:23:07.164904Z digest=sha256:a2d1fee38ac627bd51459622d583d388a4f7ac89ca4ebdc80201f330a3ccd306

Observation 7f91b1f7-9335-41fb-a897-3ea38f3a93b2 · inbound

CASE: Contrastive Activation for Saliency Estimation cites this paper.

CASE: Contrastive Activation for Saliency Estimation The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 18

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no resolver link, observed 2026-08-07T05:42:14.286693Z

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source=arxiv_source observed=2026-08-07T05:42:14.286693Z digest=sha256:bb6c8b8d1c47f0e1a4cb08ed4451f416997195272eb487cc010e2c097b72e207

Observation 1c0ca5d0-c83e-4962-9252-7ba788777b65 · inbound

Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models cites this paper.

Your Model Is Unfair, Are You Even Aware? Inverse Relationship Between Comprehension and Trust in Explainability Visualizations of Biased ML Models The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 54

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no resolver link, observed 2026-08-06T10:25:26.564902Z

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source=pdf_text observed=2026-08-06T10:25:26.564902Z digest=sha256:c1c28cfd22c7daaeadc34d9131f9353322210e86ca46f0af4a3af1cc332f0e63

Observation d8dafae3-665a-48d9-9904-7edc8e64b6f5 · inbound

On Spectral Properties of Gradient-based Explanation Methods cites this paper.

On Spectral Properties of Gradient-based Explanation Methods The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 36

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no resolver link, observed 2026-08-05T20:35:46.932205Z

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source=pdf_text observed=2026-08-05T20:35:46.932205Z digest=sha256:790b24e93cd569d03001381b54a4b8e3641b630013c15fbb286866490eaae5f6

Observation 2c126e81-9d50-4112-bfe3-05195db27861 · inbound

HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning cites this paper.

HattriQ: Designing Integrated Gradients for Feature Attribution in Quantum Machine Learning The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 8

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unresolved
no resolver link, observed 2026-08-04T12:48:32.972806Z

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source=pdf_text observed=2026-08-04T12:48:32.972806Z digest=sha256:23a6ba38bef395875f5162356e087c9d540842a5adee8c89330fd382b642218b

Observation 3c07c82b-c4f6-4e26-b5b1-ce07d19b5f79 · inbound

Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution cites this paper.

Explanation Bias is a Product: Revealing the Hidden Lexical and Position Preferences in Post-Hoc Feature Attribution The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-16T22:48:38.243190Z

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.

source=pdf_text observed=2026-05-16T22:45:09.677680Z digest=sha256:4c271235d6d8875b0b49ad8491063e1b30b8722cb5964317cbbaaa05dddaec5b

Observation 47a16528-800c-43ef-9608-dd8816393d12 · inbound

Interpretable Text Classification Applied to the Detection of LLM-generated Creative Writing cites this paper.

Interpretable Text Classification Applied to the Detection of LLM-generated Creative Writing The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 1

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no resolver link, observed 2026-08-03T11:12:26.799782Z

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source=pdf_text observed=2026-08-03T11:12:26.799782Z digest=sha256:2335a98518c4435a354a8a76df537b60ed1b158925c1308127a40458ac89f4cb

Observation a60d5784-53a2-4e28-babe-3ac9b78db03f · inbound

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification cites this paper.

Quantifying Explanation Consistency: The C-Score Metric for CAM-Based Explainability in Medical Image Classification The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 20

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arxiv_id, observed 2026-05-10T20:25:46.680017Z

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.

source=pdf_text observed=2026-05-10T18:21:16.402501Z digest=sha256:15913832696f0703422d25703221ee876c8888c3ba2dc05804d29d56db2cc189

Observation 74a2a549-df3a-4e9f-a2fa-f233a52daa32 · inbound

ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection cites this paper.

ToxiTrace: Gradient-Aligned Training for Explainable Chinese Toxicity Detection The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 2

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arxiv_id, observed 2026-05-11T11:31:01.784119Z

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.

source=pdf_text observed=2026-05-10T14:50:03.031347Z digest=sha256:512f8108e1dc0c5d45bca55fb14e9235f15d8c260d2cab5ea15da6bee47a1d5c

Observation 7cbe9ac7-5d48-4786-a7a3-49abdef7964a · 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 The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 223

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arxiv_id, observed 2026-05-10T14:10:29.458649Z

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.

source=pdf_text observed=2026-05-10T13:48:40.561619Z digest=sha256:7d1269727f5c056d2aee1a3de5dae48748290da79a51740760b182d5f4d13d8f

Observation fb8b5ab0-092e-4103-a712-4768fc1fe4aa · inbound

Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI cites this paper.

Persistent and Conversational Multi-Method Explainability for Trustworthy Financial AI The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 11

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arxiv_id, observed 2026-05-13T07:22:29.448247Z

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.

source=pdf_text observed=2026-05-13T07:17:34.686769Z digest=sha256:f3cf7e01b7edca2f5c9e6d7ef2513713a68d00e4971b9ef83be730fcfd4d5b7f

Observation 9dee54c4-8b5b-4490-8e5d-72da84b73de2 · inbound

The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity cites this paper.

The Attribution Impossibility: No Feature Ranking Is Faithful, Stable, and Complete Under Collinearity The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 67

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verified exact
arxiv_id, observed 2026-05-22T01:40:53.907805Z

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.

source=arxiv_source observed=2026-05-22T01:38:54.372354Z digest=sha256:2bc92a0a8f27b90e64a4184bfbb37d500d782dab34d95e4ade992f82151d3ed6

Observation 73845411-c58f-4c71-b8f7-a8edbb43d214 · inbound

LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data cites this paper.

LLM Doesn't Know What It Doesn't Know: Detecting Epistemic Blind Spots via Cross-Model Attribution Divergence on Clinical Tabular Data The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 7

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arxiv_id, observed 2026-07-04T00:49:19.132764Z

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.

source=arxiv_source observed=2026-06-26T20:55:17.597719Z digest=sha256:b3c76cec946caa10e6e6271c8db1331474e9341e03a4e14a454e31d5192878f4

Observation ff5509f6-a014-4b20-b323-e61a24814cb6 · inbound

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

Position: Explainability Research Must Prioritize Foundations over Ad-hoc Methods The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 19

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no resolver link, observed 2026-08-02T10:46:49.807158Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:46:49.807158Z digest=sha256:a9a75b8a5208962d7af4767b1962c3001c919eaca8d9826ec41ed431e2afd37d

Observation f9958957-2f9f-4fac-9384-5d6f4debad8d · inbound

Circuit Claims Depend on What Is Extracted and How It Is Compared cites this paper.

Circuit Claims Depend on What Is Extracted and How It Is Compared The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 21

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no resolver link, observed 2026-08-01T14:03:18.088210Z

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source=arxiv_source observed=2026-08-01T14:03:18.088210Z digest=sha256:126c57856fb61229b2539784e59ce9af90f9a266ecb78ae1dc8dd2279220dffe

Observation 104a10ec-8bbc-4a85-8ed2-d641628bd570 · inbound

Explainable AI for the EU Right to Explanation: A Systematic Review of the Law-XAI Translation Gap cites this paper.

Explainable AI for the EU Right to Explanation: A Systematic Review of the Law-XAI Translation Gap The Disagreement Problem in Explainable Machine Learning: A Practitioner's Perspective

Reference 28

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no resolver link, observed 2026-08-07T00:14:47.873845Z

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source=arxiv_source observed=2026-08-07T00:14:47.873845Z digest=sha256:1820e0b621ecf451cc7c3e889cee9aabd17b62f0afc14cd90c92035d458a0da3