Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2210.14699.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T12:18:49.082383Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T18:40:03.100223Z
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 bb54cf4e-ee19-48a6-9c4f-d4f154fa64c3 · inbound
Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation cites this paper.
Assessing, Exploiting, and Mitigating Syntactic Robustness Failures in LLM-Based Code Generation Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:23:46.157957Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 2fe06cee-792d-4b49-a26d-47ed4a9fb628 · inbound
AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code cites this paper.
AI-Powered, But Power-Hungry? Energy Efficiency of LLM-Generated Code Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T12:18:49.082383Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0206f300-23c3-4ee3-a6b3-08dc105ee1bf · inbound
Social Bias in LLM-Generated Code: Benchmark and Mitigation cites this paper.
Social Bias in LLM-Generated Code: Benchmark and Mitigation Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Reference 160
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T15:36:08.846148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c3d06e45-6adb-4925-963a-4e30d0dd0de4 · inbound
LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages cites this paper.
LLM4MTLs: Automated Generation and Empirical Evaluation of Model Transformation Languages Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Reference 6
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T18:40:03.101649Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ba96c265-dac6-4a9c-b631-873e2ea4ae1f · inbound
Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality cites this paper.
Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:01:33.353298Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a18773bb-9cde-4d1f-8c9b-f2277dd2364b · inbound
Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality cites this paper.
Large Language Models for Code Generation from Multilingual Prompts: A Curated Benchmark and a Study on Code Quality Piloting Copilot, Codex, and StarCoder2: Hot Temperature, Cold Prompts, or Black Magic?
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T01:01:33.363568Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.