Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2505.02133.
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 2026-08-07T14:15:48.502829Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T20:26:12.298078Z
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 0793178c-9d13-43b2-9189-2a21611f57ec · inbound
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI cites this paper.
Vibe Coding vs. Agentic Coding: Fundamentals and Practical Implications of Agentic AI Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
Reference 176
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:15:48.502829Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0f8e2ab5-3c98-4d47-9e65-b73712e18143 · 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 Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:07:08.007222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 349621a9-5105-4119-ad89-854ca063cbbb · inbound
WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code cites this paper.
WildCode Revisited: A Comprehensive Empirical Study on the Security of LLM-Generated Code Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T18:41:17.920359Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ac82032-2948-4021-94d7-9ffae6761838 · inbound
Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing cites this paper.
Cascaded Code Editing: Large-Small Model Collaboration for Effective and Efficient Code Editing Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T12:56:05.616333Z
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 6d8f5d4b-db41-4aa0-9144-2998e43f7c0a · inbound
The Infinite Mutation Engine? Measuring Polymorphism in LLM-Generated Offensive Code cites this paper.
The Infinite Mutation Engine? Measuring Polymorphism in LLM-Generated Offensive Code Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T10:56:30.177624Z
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 914550fb-d923-462a-b161-56bb1db492a3 · inbound
The Infinite Mutation Engine? Measuring Polymorphism in LLM-Generated Offensive Code cites this paper.
The Infinite Mutation Engine? Measuring Polymorphism in LLM-Generated Offensive Code Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:15:39.553334Z
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 de17b9d3-59f7-4d1a-aee2-20ecf94db210 · inbound
How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEval cites this paper.
How Generation Architecture Shapes Code Complexity in Multi-Agent LLM Systems: A Paired Study on HumanEval Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T20:26:12.299701Z
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.