Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2103.16910.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:09:20.798033Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T22:55:28.709609Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation 5cb64a38-490d-40ba-9da0-98be6e04f528 · inbound
Establishing and Evaluating Trustworthy AI: Overview and Research Challenges Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
Reference 197
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 12f21512-010d-45ce-8772-95f82b1ddd19 · inbound
Practical Application and Limitations of AI Certification Catalogues in the Light of the AI Act Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 231dcc8f-ab26-47d5-aafc-e4e62ccbb555 · inbound
Safe and Certifiable AI Systems: Concepts, Challenges, and Lessons Learned Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
Reference 54
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1d00a94d-ed3b-47d4-af58-72ffe3c379af · inbound
From Skill Extraction to Multistakeholder Recommendation: A Two-Stage Framework for Bias Governance in Skills-Based Job Matching Trusted Artificial Intelligence: Towards Certification of Machine Learning Applications
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.