Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.02368.
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 2026-08-04T06:49:07.865706Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T23:37:27.550995Z
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 f88be36a-4416-45ba-8b5f-bf9db798cc6c · inbound
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards cites this paper.
A Blueprint for AI-Driven Software Quality: Integrating LLMs with Established Standards Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
Reference 144
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:46:37.159453Z
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 02da1c6a-f6b6-4ec5-9ef6-70edad89e2c1 · inbound
A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code cites this paper.
A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T06:49:07.865706Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b8e368c-2a4b-4145-9fa1-dd4ef219ea98 · inbound
LLM vs. Human Unit Tests: Fault Detection on Real Python Bugs cites this paper.
LLM vs. Human Unit Tests: Fault Detection on Real Python Bugs Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T23:37:27.552567Z
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.