Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2302.06034.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:00:08.756084Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T12:16:03.312527Z
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 d94ba88c-95a4-49a3-aa99-f629100ab5ed · inbound
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models cites this paper.
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:00:08.756084Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92bf5f72-e27a-4ae3-a49c-10ffa6f96326 · inbound
From Business Problems to AI Solutions: Where Does Transformation Support Fail cites this paper.
From Business Problems to AI Solutions: Where Does Transformation Support Fail Requirements Elicitation and Modelling of Artificial Intelligence Systems: An Empirical Study
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:16:03.315715Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.