Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2401.07031.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:04:59.596935Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-10T06:41:36.577626Z
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 3b43a0e2-45b5-4b95-bba7-5573f982563b · inbound
Training Language Models to Generate Quality Code with Program Analysis Feedback cites this paper.
Training Language Models to Generate Quality Code with Program Analysis Feedback Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:04:59.596935Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ed6f5078-9715-4c54-9afb-d4f809813165 · inbound
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation cites this paper.
Guiding AI to Fix Its Own Flaws: An Empirical Study on LLM-Driven Secure Code Generation Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T21:56:15.385870Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a951e560-a699-4025-ae78-b4ab2fb1675b · inbound
BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice cites this paper.
BitsAI-Fix: LLM-Driven Approach for Automated Lint Error Resolution in Practice Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T04:31:01.632200Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f291ae9-1c17-4eb0-a1c5-7a761fd23ac9 · inbound
SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair cites this paper.
SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T06:41:36.578875Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation f50a9149-319a-4980-9893-6ec33a27b6a9 · inbound
From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python cites this paper.
From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python Code Security Vulnerability Repair Using Reinforcement Learning with Large Language Models
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:38:07.245761Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.