Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2409.20288.
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 2026-08-07T14:33:13.335872Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T17:35:44.212737Z
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 43902ee8-cd90-42c9-80e4-4470e12fed81 · inbound
A Survey on LLM-as-a-Judge cites this paper.
A Survey on LLM-as-a-Judge LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Reference 81
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T17:35:44.216115Z
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 197f58bf-63df-4109-8921-8a990e827e2a · inbound
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.
LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Reference 133
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T23:08:37.123012Z
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 1ec90680-646d-4f31-8fc2-10e8cfd24d0e · inbound
A Survey of LLM $\times$ DATA cites this paper.
A Survey of LLM $\times$ DATA LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Reference 232
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:33:13.335872Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c80a0a2c-392f-4b35-ac64-92081bdf021f · inbound
Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments cites this paper.
Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:03:18.624943Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7020c785-4b2d-4a6b-a2d0-3b95ca475d7c · inbound
BLAD: A Historically Contextualized, Multilingual Dataset of Bangladeshi Legal Acts (1799 to 2025) cites this paper.
BLAD: A Historically Contextualized, Multilingual Dataset of Bangladeshi Legal Acts (1799 to 2025) LexEval: A Comprehensive Chinese Legal Benchmark for Evaluating Large Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T19:01:01.739852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.