Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.01723.
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 2026-08-06T18:07:10.060883Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T07:35:28.924603Z
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 66b29daf-739c-4e29-8ce8-5df267627189 · inbound
Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps cites this paper.
Position Paper: Programming Language Techniques for Bridging LLM Code Generation Semantic Gaps An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:07:10.060883Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ba41a64-cac7-4748-8a64-a8222fedf996 · inbound
Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey cites this paper.
Bidirectional Empowerment of Metamorphic Testing and Large Language Models: A Systematic Survey An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T05:19:46.590139Z
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 9bf3ce35-50ca-43f4-86a1-c15134938e65 · inbound
The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes cites this paper.
The Consistency Dilemma in LLMs: Generator-Evaluator Agreement and Vulnerability to Mistakes An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T07:35:28.926367Z
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.