Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2310.06726.
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 2026-08-12T14:11:21.920940Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T03:37:35.463651Z
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 639ece8b-104a-41d0-a1ff-b2126606072a · inbound
Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents cites this paper.
Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:11:21.920940Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 62b201ef-5a92-4b05-8182-524bcc67a5ac · inbound
AI Assurance in UK Defence: Challenges in Operationalising JSP 936 cites this paper.
AI Assurance in UK Defence: Challenges in Operationalising JSP 936 Status Quo and Problems of Requirements Engineering for Machine Learning: Results from an International Survey
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T03:37:35.465175Z
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.