Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2406.12655.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:57:50.823212Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
2
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 7d54b44e-ca89-44fc-a97c-268976e4f494 · inbound
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers cites this paper.
Programming with AI: Evaluating ChatGPT, Gemini, AlphaCode, and GitHub Copilot for Programmers Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:57:50.823212Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2096fe45-cf44-4817-bf51-6507119b8818 · inbound
Sustainable Code Generation Using Large Language Models: A Systematic Literature Review cites this paper.
Sustainable Code Generation Using Large Language Models: A Systematic Literature Review Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
Reference 80
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T18:50:16.622504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 837e2bb6-edd2-4a79-bfc9-b23d98593693 · inbound
Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study cites this paper.
Leveraging LLMs for Multi-File DSL Code Generation: An Industrial Case Study Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T22:26:13.491795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 550f0f20-73bb-4ce1-894d-18b826b7f4c9 · inbound
LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages cites this paper.
LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-06-27T01:50:22.095116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ee481f6a-a934-4526-af55-59599404ba9b · inbound
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs cites this paper.
When AI Reviews Its Own Code: Recursive Self-Training Collapse in Code LLMs Benchmarks and Metrics for Evaluations of Code Generation: A Critical Review
Reference 60
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T15:25:48.282403Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.