Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2408.04125.
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 2026-08-07T04:35:42.258008Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T10:06:51.660991Z
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 d4437d77-12a6-414c-aa09-05ff715522f1 · 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 VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T04:35:42.258008Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2e7ff942-71d7-40bd-a5e8-bb63c4b02209 · inbound
A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat cites this paper.
A Deep Dive into Retrieval-Augmented Generation for Code Completion: Experience on WeChat VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:35:29.426840Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9a70c81-8523-4fc9-8854-1b73f417bfdc · inbound
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation cites this paper.
VISION: Robust and Interpretable Code Vulnerability Detection Leveraging Counterfactual Augmentation VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:10:53.400130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9962d2b7-4ba4-4e24-8abb-0e08e5d917b7 · inbound
Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities cites this paper.
Towards Personalizing Secure Programming Education with LLM-Injected Vulnerabilities VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T13:35:26.884101Z
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 38dafbc2-222d-440e-8206-6601e0ccb10d · inbound
Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration cites this paper.
Willing but Unable: Separating Refusal from Capability in Code LLMs via Abliteration VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T10:06:51.662457Z
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.