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Paper Citation Record · LEDGER

Metrics for Explainable AI: Challenges and Prospects

As of 2 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:1812.04608.

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

pith.paper-citation-record.v1
1812.04608 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-01T06:32:01.292127+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T23:24:16.425780Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T23:27:37.758169Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52cad44b-907c-4458-9a4e-e85a808c9ec3 · inbound

Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization cites this paper.

Minimal Data, Maximum Clarity: A Heuristic for Explaining Optimization Metrics for Explainable AI: Challenges and Prospects

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-18T17:46:41.899751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-18T17:46:23.625663Z digest=sha256:408073729b75724fe8234c935ace351254f9d947d8326803152a4eae04db43ed

Observation cc71bfc3-483a-4c43-b3a0-9f00db9041f6 · inbound

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study cites this paper.

Evaluation of AI Ethics Tools in Language Models: A Developers' Perspective Case Study Metrics for Explainable AI: Challenges and Prospects

Reference 223

Resolution
verified exact
local_arxiv, observed 2026-05-16T22:38:37.255704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-16T22:38:02.674927Z digest=sha256:7e40afb505e1ffa30ce0fc5a1d4fe13a7ea7bfad69c558eae58c7927194a2e36

Observation eefc4386-ad6e-4878-bd91-5f6114158a5b · inbound

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions cites this paper.

Beyond Explainable AI (XAI): An Overdue Paradigm Shift and Post-XAI Research Directions Metrics for Explainable AI: Challenges and Prospects

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-05-15T18:51:30.127708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-15T18:50:52.313363Z digest=sha256:c4ded2da356a8b6db50c5724a3178323c2cf277704573ef10a1e23409a0b071a

Observation fe4b183e-bdc7-4778-ac1c-da02a8e6b9b1 · inbound

The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance cites this paper.

The Persuasion Paradox: When LLM Explanations Fail to Improve Human-AI Team Performance Metrics for Explainable AI: Challenges and Prospects

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-16T08:47:37.356701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-16T08:45:30.605047Z digest=sha256:99418d0c373b96fdfcc17068e85b0ec18c0ef22b5826a9f7aa67229bb2c85724

Observation d10ec63b-c498-4ebe-b5be-818e062c013d · inbound

Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection cites this paper.

Improving Explanations: Applying the Feature Understandability Scale for Cost-Sensitive Feature Selection Metrics for Explainable AI: Challenges and Prospects

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:15:54.248109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T18:37:35.652280Z digest=sha256:d04a0d4c77a7528adda7bb2b07fa29dea524329e2cfdb38a5cae7e2f1d4df6cd

Observation c289acbf-dee8-413b-b1b6-eb8210fb5baa · inbound

Confidence Without Competence in AI-Assisted Knowledge Work cites this paper.

Confidence Without Competence in AI-Assisted Knowledge Work Metrics for Explainable AI: Challenges and Prospects

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-10T17:05:38.416770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-10T17:02:54.050021Z digest=sha256:6a3e8bdd066442079ef54ee606a024e7b830e37ad983548458e3fdc7a8533a56

Observation ebe3ca67-d60d-40a9-8b7d-4b261e5c32e1 · inbound

Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms cites this paper.

Reheat Nachos for Dinner? Evaluating AI Support for Cross-Cultural Communication of Neologisms Metrics for Explainable AI: Challenges and Prospects

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T21:16:11.525100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-08T06:20:10.348010Z digest=sha256:f92cd10ad3ef63959aebdc86b0a2abca5750fe75fb501af7b840bc850a9d3c14

Observation 06dd99e4-60f7-4fac-9d0b-16a38130ee36 · inbound

Knowledge Affordances for Hybrid Human-AI Information Seeking cites this paper.

Knowledge Affordances for Hybrid Human-AI Information Seeking Metrics for Explainable AI: Challenges and Prospects

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:41:27.438929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-07T09:35:29.160078Z digest=sha256:b514d24bd4c632ed33b16eca5f279b4a1c5003750ccb27a21b4e72ba0ed724da

Observation 18dece7c-c47e-489c-be74-c23e843823f8 · inbound

What if AI systems weren't chatbots? cites this paper.

What if AI systems weren't chatbots? Metrics for Explainable AI: Challenges and Prospects

Reference 73

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:25:57.809865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-11T03:21:58.498789Z digest=sha256:fa7b48a73a3eeaa72e86f9c1f2a45a3f1e361b8d1c1ae9a1f3abb0386042889a

Observation 39a2aa16-8fe0-4b94-b708-16daefb5cf44 · inbound

Interpretability Can Be Actionable cites this paper.

Interpretability Can Be Actionable Metrics for Explainable AI: Challenges and Prospects

Reference 146

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T06:17:23.251303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=arxiv_source observed=2026-05-13T06:12:51.656452Z digest=sha256:11d49ecd567c53869c00a8e6d39891a9036dbb4713fa037dcec4835db6f42181

Observation 5bce20f3-5f74-4781-900a-78b2208f367d · inbound

What Should Explanations Contain? A Human-Centered Explanation Content Model for Local, Post-Hoc Explanations cites this paper.

What Should Explanations Contain? A Human-Centered Explanation Content Model for Local, Post-Hoc Explanations Metrics for Explainable AI: Challenges and Prospects

Reference 66

Resolution
verified exact
local_arxiv, observed 2026-05-15T02:49:41.343345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-15T02:49:31.723334Z digest=sha256:26543bb1e6739c357f6d659204b4b0f6448accb074a06c1d3dd0cbc83fdc1bcc

Observation fbb67aa3-8c5d-4810-bd52-9b07d4589b00 · inbound

INSIGHTS: Demonstration-Based Summaries of Time Series Predictors cites this paper.

INSIGHTS: Demonstration-Based Summaries of Time Series Predictors Metrics for Explainable AI: Challenges and Prospects

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:53:43.481295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-05-20T20:53:09.269198Z digest=sha256:70b25f04ef14a1c3ecd87cfd1e46bd115e03a228739568ce6882ebf0bbca47c8

Observation 3df5d419-0886-4570-bb0d-baca36296c47 · inbound

Explainable Optimization: A Call for Interdisciplinary Action cites this paper.

Explainable Optimization: A Call for Interdisciplinary Action Metrics for Explainable AI: Challenges and Prospects

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-07-02T23:47:27.601758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-27T17:55:29.514430Z digest=sha256:4905b81cbeab25cc6ec6a3712eaf60944c2b04bf50c9fadc3e2ba6dfa5bb0a41

Observation 78b38bcd-01d6-414f-b797-9d0e11c41bc5 · inbound

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities cites this paper.

Mod-Guide: An LLM-based Content Moderation Feedback System to Address Insensitive Speech toward Indigenous Ethnic and Religious Minority Communities Metrics for Explainable AI: Challenges and Prospects

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-03T16:28:39.006720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-06-27T05:41:19.023966Z digest=sha256:4609c628d0ab6c7808d5984fef4033ae612b57c43cf68353346e12ea46e35f67

Observation ede5663c-a624-4d17-b9cb-b8143d230883 · inbound

Exploring the Interaction of Explanation Styles, Context, and Trust of AI Privacy Redaction in AI-mediated Interactions cites this paper.

Exploring the Interaction of Explanation Styles, Context, and Trust of AI Privacy Redaction in AI-mediated Interactions Metrics for Explainable AI: Challenges and Prospects

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-10T23:27:37.772833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.

source=pdf_text observed=2026-07-10T23:24:16.425780Z digest=sha256:4e0ff36e0be2583340a695b96cb588d5c9404019cf5ddf519d7f43612be09bb2