Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1806.07552.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T05:29:43.793989Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
85
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation ff31da01-8f5a-487c-8c78-1efe8aca845a · inbound
The Role of XAI in Transforming Aeronautics and Aerospace Systems cites this paper.
The Role of XAI in Transforming Aeronautics and Aerospace Systems Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T05:29:43.793989Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04cf7efb-06ec-4d51-87c5-088287c35573 · inbound
Are machine learning interpretations reliable? A stability study on global interpretations cites this paper.
Are machine learning interpretations reliable? A stability study on global interpretations Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Reference 122
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:15:41.997043Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27892ac6-68a6-4049-b745-490ded9fc128 · inbound
Explainable AI Systems Must Be Contestable: Here's How to Make It Happen cites this paper.
Explainable AI Systems Must Be Contestable: Here's How to Make It Happen Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:44:12.259714Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f341a533-9546-4baf-b4ea-4349986af679 · 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 Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:19:58.892829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f719ad69-cd5e-4e59-a662-c78e8a48d54c · inbound
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems cites this paper.
The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems Interpretable to Whom? A Role-based Model for Analyzing Interpretable Machine Learning Systems
Reference 122
- Resolution
- verified exact
- local_arxiv, observed 2026-05-15T20:46:35.615343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.