Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2107.07498.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T21:42:12.634761Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T20:43:25.267491Z
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 9e28e0d6-15e6-49eb-ab9d-7befe2ef5baa · inbound
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio cites this paper.
A Practice of Post-Training on Llama-3 70B with Optimal Selection of Additional Language Mixture Ratio FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T20:43:25.269973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 049351a9-5f5d-4fd3-94a3-e7519a1f4bd9 · inbound
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts cites this paper.
Eve: Efficient Multimodal Vision Language Models with Elastic Visual Experts FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T21:42:12.634761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe812265-7d11-49e3-b993-847d3e29acdc · inbound
Enhancing LLMs via High-Knowledge Data Selection cites this paper.
Enhancing LLMs via High-Knowledge Data Selection FewCLUE: A Chinese Few-shot Learning Evaluation Benchmark
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:43:04.560146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.