Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.19361.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T18:38:27.535802Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T13:51:11.885723Z
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 a1b5a6c5-7dbb-487a-927e-a55f5043e45f · inbound
Federated Learning: From Theory to Practice cites this paper.
Federated Learning: From Theory to Practice Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization
Reference 229
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:24:08.574641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7ef0116-1c06-4990-bfc5-26cdffcaba85 · inbound
Beyond Explainability: The Case for AI Validation cites this paper.
Beyond Explainability: The Case for AI Validation Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization
Reference 76
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:51:12.027708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a3b70959-45a0-4022-a147-8363ca91f416 · inbound
Robust OOD Graph Learning via Mean Constraints and Noise Reduction cites this paper.
Robust OOD Graph Learning via Mean Constraints and Noise Reduction Engineering Trustworthy AI: A Developer Guide for Empirical Risk Minimization
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:38:27.535802Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.