Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2109.09658.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:15:10.217923Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T00:55:12.154286Z
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 7a563610-7fb6-40a1-9f87-eaf827c3cb82 · inbound
DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems cites this paper.
DURA-CPS: A Multi-Role Orchestrator for Dependability Assurance in LLM-Enabled Cyber-Physical Systems FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:45:41.010385Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c734ec9-3e2e-4984-bef2-21b3d464b880 · inbound
Robust Training with Data Augmentation for Medical Imaging Classification cites this paper.
Robust Training with Data Augmentation for Medical Imaging Classification FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:15:10.217923Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e496503-f974-44c5-ac30-d696342ee835 · inbound
From Awareness to Action: Understanding and Overcoming the Research-Practice Gap in Algorithmic Fairness for Public Health cites this paper.
From Awareness to Action: Understanding and Overcoming the Research-Practice Gap in Algorithmic Fairness for Public Health FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T00:55:12.155735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.