Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
INSEva: A Comprehensive Chinese Benchmark for Large Language Models in Insurance
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2509.04455.
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 2026-08-03T06:30:56.289259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T19:30:46.079681Z
A source-named dated measurement, never combined with another source.
Source: cited_works
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 47f6cb9c-2cb7-4ddc-9934-307efd54dbb6 · inbound
INS-ActBench: A Comprehensive Benchmark for Assessing Professional Actuarial Capability of Large Language Models cites this paper.
INS-ActBench: A Comprehensive Benchmark for Assessing Professional Actuarial Capability of Large Language Models INSEva: A Comprehensive Chinese Benchmark for Large Language Models in Insurance
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T19:30:46.079681Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.