Paper Citation Record · LEDGER

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations

As of 14 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.21571.

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

pith.paper-citation-record.v1
2507.21571 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:40:27.427184Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy21
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1443eb0a-34ae-467a-aa52-172aa09f928d · outbound

This paper cites Lim, and Mohan Kankanhalli.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Lim, and Mohan Kankanhalli

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.380605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 139c86d7-e86a-43da-b186-6b25fe74afb4 · outbound

This paper cites Peeking Inside the Black - Box : A Survey on Explainable Artificial Intelligence ( XAI ).

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Peeking Inside the Black - Box : A Survey on Explainable Artificial Intelligence ( XAI )

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.353309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b2045086-c8b6-4860-a706-1345f430d320 · outbound

This paper cites User-friendly Conversational Explanations : A Research Summary.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations User-friendly Conversational Explanations : A Research Summary

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.322787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b1ff6db5-e49a-46dc-bb81-c5e3185dfc07 · outbound

This paper cites Explainable Artificial Intelligence ( XAI ): Concepts , taxonomies, opportunities and challenges toward responsible AI.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Explainable Artificial Intelligence ( XAI ): Concepts , taxonomies, opportunities and challenges toward responsible AI

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.268487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dae60927-bcb9-4ae9-8987-13881b1667e1 · outbound

This paper cites At your service: Designing voice assistant personalities to improve automotive user interfaces.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations At your service: Designing voice assistant personalities to improve automotive user interfaces

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.236628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ca74f421-ed05-423d-90d6-22c618d2eba2 · outbound

This paper cites Using language.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Using language

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.212272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 92e0ee9f-feae-4d10-af31-09ddc425d1fe · outbound

This paper cites Personalized XAI for AI -driven Personalization.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Personalized XAI for AI -driven Personalization

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.178600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ab3da783-7e9d-4706-b25b-cdde0ceca019 · outbound

This paper cites Mediators: Conversational Agents Explaining NLP Model Behavior.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Mediators: Conversational Agents Explaining NLP Model Behavior

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:27.243677Z

Source-reported events for the cited work

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Observation d78132e4-1b4a-4336-811b-7abc3e2baa9f · outbound

This paper cites Explaining Explanations: An Overview of Interpretability of Machine Learning.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Explaining Explanations: An Overview of Interpretability of Machine Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:27.250842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fa45068-91c9-4882-8876-2325099d42dd · outbound

This paper cites Why and How ? A User Study to Evaluate Explainability Within the Automotive Context.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Why and How ? A User Study to Evaluate Explainability Within the Automotive Context

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.154652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b61ca649-2054-4371-b2f0-ab44279c5bbf · outbound

This paper cites What do we need to build explainable AI systems for the medical domain?.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations What do we need to build explainable AI systems for the medical domain?

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:27.270399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56374adc-1099-4045-a89d-6041a98094a7 · outbound

This paper cites Putting people’s common sense into knowledge bases of household robots.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Putting people’s common sense into knowledge bases of household robots

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.131868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3b372d51-b069-42f1-8862-2502e2f8d9e4 · outbound

This paper cites Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Improving Model Understanding and Trust with Counterfactual Explanations of Model Confidence

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.097688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 735a086b-bbd4-45e3-a698-8d358d1d75f5 · outbound

This paper cites Questioning the AI: Informing Design Practices for Explainable AI User Experiences.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Questioning the AI: Informing Design Practices for Explainable AI User Experiences

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T12:40:27.564025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 065f9e24-e36f-4cfc-8a7f-70681a45ba95 · outbound

This paper cites Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Alterfactual Explanations -- The Relevance of Irrelevance for Explaining AI Systems

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.071093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f5652b55-821c-4e6d-8293-6e1dca1e8d71 · outbound

This paper cites Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:27.309486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 966973fe-cb7a-402e-bbd7-19eda5454ffa · outbound

This paper cites Explanation in Artificial Intelligence: Insights from the Social Sciences.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Explanation in Artificial Intelligence: Insights from the Social Sciences

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:27.326280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52680c87-5efa-47e0-aed6-8a89905270ff · outbound

This paper cites Automatic personalization based on web usage mining.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Automatic personalization based on web usage mining

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.050054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0b08fcc-48b1-4ec0-b5a8-e21a8c8cbd68 · outbound

This paper cites AI Explainability : Why One Explanation Cannot Fit All.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations AI Explainability : Why One Explanation Cannot Fit All

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:28.013049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2e9a0ec3-feeb-493a-bf09-44063a155094 · outbound

This paper cites an unresolved cited work.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T12:40:27.977134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b6fff9ef-5ed7-4d21-8469-112205a1aa0f · outbound

This paper cites Explainable AI : Interpreting , Explaining and Visualizing Deep Learning , volume 11700 of Lecture Notes in Computer Science.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Explainable AI : Interpreting , Explaining and Visualizing Deep Learning , volume 11700 of Lecture Notes in Computer Science

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.937881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7103881f-8578-46cb-a61e-0094c4389d5b · outbound

This paper cites The Effect of Diversity in Counterfactual Machine Learning Explanations.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations The Effect of Diversity in Counterfactual Machine Learning Explanations

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.893931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e44ae4b0-b2bc-4d28-9f21-8196010a4546 · outbound

This paper cites Reducing working memory load in spoken dialogue systems.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Reducing working memory load in spoken dialogue systems

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.860489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d38ca530-7d52-4cb2-b14c-913115de7b42 · outbound

This paper cites Toward human-centered AI : a perspective from human-computer interaction.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Toward human-centered AI : a perspective from human-computer interaction

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.825192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4e62487f-027e-4d5c-9e00-7b74e01f9531 · outbound

This paper cites i want it that way.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations i want it that way

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.794142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bef1abb1-b38f-4b2b-8b9a-842b6747e5b8 · outbound

This paper cites Understanding circumstances for desirable proactive behaviour of voice assistants: The proactivity dilemma.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Understanding circumstances for desirable proactive behaviour of voice assistants: The proactivity dilemma

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.756335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 977355a1-f7c2-41bc-80ba-2de554704f79 · outbound

This paper cites Vera Liao, and Rachel K.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Vera Liao, and Rachel K

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.724598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5ea0e22b-8033-4dbf-b8a8-8119ffd61712 · outbound

This paper cites Personalization and context management.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations Personalization and context management

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T12:40:27.700733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 99ddf0ff-47f9-479a-b29e-56483ea08053 · outbound

This paper cites write newline.

Finding Uncommon Ground: A Human-Centered Model for Extrospective Explanations write newline

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T12:40:27.427184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.