Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Towards certifiable AI in aviation: landscape, challenges, and opportunities
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.08666.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:48:18.070687Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:05:10.710506Z
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 8258eee5-8645-4a78-aa16-847d3bacb609 · inbound
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces cites this paper.
Enhancing Interpretability Through Loss-Defined Classification Objective in Structured Latent Spaces Towards certifiable AI in aviation: landscape, challenges, and opportunities
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:48:18.070687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9332e02a-ad54-421c-bca7-906912be2e22 · inbound
Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications cites this paper.
Approach Towards Semi-Automated Certification for Low Criticality ML-Enabled Airborne Applications Towards certifiable AI in aviation: landscape, challenges, and opportunities
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T05:05:10.714809Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.