Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.01242.
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 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T01:04:43.378374Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T16:27:39.500340Z
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 e5ea0a8e-e10e-46fa-b1b4-1e235c1b6bec · inbound
Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency cites this paper.
Enhancing LLM Code Generation: A Systematic Evaluation of Multi-Agent Collaboration and Runtime Debugging for Improved Accuracy, Reliability, and Latency RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T01:04:43.378374Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f2fceab-5c92-4976-bd5a-7d309e8a4785 · inbound
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models cites this paper.
The Art of Repair: Optimizing Iterative Program Repair with Instruction-Tuned Models RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:45:04.875844Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4d8c663d-2fff-45b6-9603-d0cef668bfdf · inbound
Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle cites this paper.
Assistance to Autonomy: A Systematic Literature Review of Agentic AI across the Software Development Life Cycle RGD: Multi-LLM Based Agent Debugger via Refinement and Generation Guidance
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:27:39.501678Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.