Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Tools and Practices for Responsible AI Engineering
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2201.05647.
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 2026-08-15T19:15:10.254103Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T12:06:56.373675Z
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 fae1d577-6aca-4e5f-add6-6d39f9d15347 · inbound
An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI cites this paper.
An Empirical Study on Decision-Making Aspects in Responsible Software Engineering for AI Tools and Practices for Responsible AI Engineering
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T14:05:08.341348Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3f1f2ac3-e2ec-403a-ad62-4f4c06756e1a · inbound
Robust Training with Data Augmentation for Medical Imaging Classification cites this paper.
Robust Training with Data Augmentation for Medical Imaging Classification Tools and Practices for Responsible AI Engineering
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:15:10.254103Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e1639fa-5702-46b1-bb37-5c591b72f10e · inbound
In-Context Multiple Instance Learning cites this paper.
In-Context Multiple Instance Learning Tools and Practices for Responsible AI Engineering
Reference 42
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T12:06:56.375053Z
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.