Paper Citation Record · LEDGER

VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2408.04125.

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

pith.paper-citation-record.v1
2408.04125 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:25:26.145600Z

measured 0 of 1 external citation measurements

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 0e8e5701-1b17-4519-9208-60d6a929245b · inbound

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection cites this paper.

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-16T11:25:26.145600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e32ac1fd-f26d-421b-af85-4a7bfc982a4d · inbound

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks cites this paper.

Forewarned is Forearmed: A Survey on Large Language Model-based Agents in Autonomous Cyberattacks VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T20:28:57.913488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.