Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2402.07681.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:30:01.065185Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T22:30:05.580822Z
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 c1587502-6031-407b-b1c1-a7d9784c1b44 · inbound
skLEP: A Slovak General Language Understanding Benchmark cites this paper.
skLEP: A Slovak General Language Understanding Benchmark Large Language Models "Ad Referendum": How Good Are They at Machine Translation in the Legal Domain?
Reference 8
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T22:30:05.627673Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.