Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Refactoring Programs Using Large Language Models with Few-Shot Examples
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.11690.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T19:19:26.253196Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-13T20:18:06.668943Z
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 ea2cccbf-4c6c-4375-afcb-87e81c064958 · inbound
A Survey on Large Language Models for Code Generation cites this paper.
A Survey on Large Language Models for Code Generation Refactoring Programs Using Large Language Models with Few-Shot Examples
Reference 242
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T20:18:06.670552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 85a76b72-d987-48db-aaa3-77a4d7b45f0d · inbound
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit cites this paper.
CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit Refactoring Programs Using Large Language Models with Few-Shot Examples
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:19:26.253196Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d721ff34-afa9-4613-b559-cc92c8a9936e · inbound
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts cites this paper.
ChatGPT for Code Refactoring: Analyzing Topics, Interaction, and Effective Prompts Refactoring Programs Using Large Language Models with Few-Shot Examples
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T21:22:01.341036Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.