Paper Citation Record · LEDGER

LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2401.03374.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2401.03374 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:23:49.774662Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-22T18:41:56.395397Z

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 afc0c933-b7a5-43ce-918d-148e5cf5cc33 · inbound

Generative AI for Internet of Things Security: Challenges and Opportunities cites this paper.

Generative AI for Internet of Things Security: Challenges and Opportunities LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T23:23:49.774662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e85351b-f87c-42b4-94b5-9ae0e6caec84 · inbound

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code cites this paper.

Case Study: Fine-tuning Small Language Models for Accurate and Private CWE Detection in Python Code LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:41:56.397510Z

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 07908e75-f1f8-4fee-96af-73924d3d72b3 · 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 LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 165

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:46:37.227982Z

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 5095f48b-78db-402c-9785-5572b3ead29e · inbound

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements cites this paper.

Augmenting Large Language Models with Static Code Analysis for Automated Code Quality Improvements LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T04:35:42.210307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc9e1ce2-355a-45a3-af4b-3d3d028aebbe · inbound

The Impact of Fine-tuning Large Language Models on Automated Program Repair cites this paper.

The Impact of Fine-tuning Large Language Models on Automated Program Repair LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T13:56:43.405073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef202044-c009-47f8-9fb2-e4c89567e029 · 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 LLM-Powered Code Vulnerability Repair with Reinforcement Learning and Semantic Reward

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T08:38:07.173572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.