Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How to Assess Trustworthy AI in Practice
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2206.09887.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:41:28.315886Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T05:36:01.217137Z
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 abfcbe13-21c1-4e9d-b7e5-7aba24c94b66 · inbound
Getting Ready for the EU AI Act in Healthcare. A call for Sustainable AI Development and Deployment cites this paper.
Getting Ready for the EU AI Act in Healthcare. A call for Sustainable AI Development and Deployment How to Assess Trustworthy AI in Practice
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T22:41:28.315886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 91aedd36-3f49-49f6-bbb8-de4a7d845395 · inbound
Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores cites this paper.
Co-design for Trustworthy AI: An Interpretable and Explainable Tool for Type 2 Diabetes Prediction Using Genomic Polygenic Risk Scores How to Assess Trustworthy AI in Practice
Reference 23
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:36:01.224550Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation aa2f4ef3-0e4d-44bf-90f2-8d8a5d5491b6 · inbound
A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance cites this paper.
A Methodology for Auditable Trustworthiness Levels in AI Lifecycle Governance How to Assess Trustworthy AI in Practice
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T21:18:26.350190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.