Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Sequence embeddings help to identify fraudulent cases in healthcare insurance
As of 19 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1910.03072.
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 2026-07-18T06:30:57.431901+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T02:13:38.493482Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T02:14:11.105288Z
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 48922fbc-ddd9-43cd-9000-d04fe2451a80 · inbound
Semantic insurance pricing with large language models cites this paper.
Semantic insurance pricing with large language models Sequence embeddings help to identify fraudulent cases in healthcare insurance
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T02:14:11.107156Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-07-18T06:30:57.431901+00:00.