Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.10943.
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 2026-08-05T18:07:23.980457Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-05T18:07:25.033279Z
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 aa4c0af5-4ce4-4c4a-81e4-e994687f575d · inbound
LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa cites this paper.
LLMs and Agentic AI in Insurance Decision-Making: Opportunities and Challenges For Africa InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models
Reference 29
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T18:07:25.036188Z
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.
Observation 7dc76271-86b2-4b7b-86de-3ed745b33092 · 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 InsQABench: Benchmarking Chinese Insurance Domain Question Answering with Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T19:30:45.989599Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.