Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:23:07.164904Z

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
parse uncertain0
malformed identifier0
metadata mismatch0

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 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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: 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 2026-08-09T06:31:02.800959+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Resolution: metadata mismatch; 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 2026-08-09T06:31:02.800959+00:00.

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

Resolution: metadata mismatch; 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 2026-08-09T06:31:02.800959+00:00.

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

Resolution: metadata mismatch; 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 2026-08-09T06:31:02.800959+00:00.

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

Resolution: metadata mismatch; 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 2026-08-09T06:31:02.800959+00:00.

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

Resolution: 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 2026-08-09T06:31:02.800959+00:00.

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

Resolution: metadata mismatch; 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 2026-08-09T06:31:02.800959+00:00.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.