Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.10263.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:08:33.253765Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-07T04:55:44.008266Z
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 14dec79f-b24c-48da-a872-401136617f89 · inbound
Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese cites this paper.
Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:08:33.253765Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 886b8786-1ebb-4cb4-a8c1-23a751e32055 · inbound
Towards Efficient and Effective Alignment of Large Language Models cites this paper.
Towards Efficient and Effective Alignment of Large Language Models M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark for Chinese Large Language Models
Reference 111
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T04:55:44.013159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.