On the public citation graph

vul-rag : Enhancing LLM-based Vulnerability Detection via Knowledge-level RAG

0 signed · 60 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-26532-2_19openalex-snapshot

The Effect of Stemming and Stop-Word-Removal on Automatic Text Classification in Turkish Language

inferredcites →https://doi.org/10.1016/0306-4573(88)90021-0openalex-snapshot

Term-weighting approaches in automatic text retrieval

inferredcites →https://doi.org/10.1109/access.2025.3546700openalex-snapshot

Finetuning Large Language Models for Vulnerability Detection

inferredcites →https://doi.org/10.1109/access.2025.3638251openalex-snapshot

ProveRAG: Provenance-Driven Vulnerability Analysis With Automated Retrieval-Augmented LLMs

inferredcites →https://doi.org/10.1109/icse48619.2023.00022openalex-snapshot

Data Quality for Software Vulnerability Datasets

inferredcites →https://doi.org/10.1109/icse55347.2025.00038openalex-snapshot

Vulnerability Detection with Code Language Models: How Far are We?

inferredcites →https://doi.org/10.1109/icst62969.2025.10988968openalex-snapshot

Understanding the Effectiveness of Large Language Models in Detecting Security Vulnerabilities

inferredcites →https://doi.org/10.1109/issrew60843.2023.00058openalex-snapshot

Software Vulnerability Detection using Large Language Models

inferredcites →https://doi.org/10.1109/sp54263.2024.00210openalex-snapshot

LLMs Cannot Reliably Identify and Reason About Security Vulnerabilities (Yet?): A Comprehensive Evaluation, Framework, and Benchmarks

inferredcites →https://doi.org/10.1109/tse.2021.3087402openalex-snapshot

Deep Learning Based Vulnerability Detection: Are We There Yet?

inferredcites →https://doi.org/10.1145/3379597.3387501openalex-snapshot

A C/C++ Code Vulnerability Dataset with Code Changes and CVE Summaries

inferredcites →https://doi.org/10.1145/3475960.3475985openalex-snapshot

CVEfixes: automated collection of vulnerabilities and their fixes from open-source software

inferredcites →https://doi.org/10.1145/3597503.3623342openalex-snapshot

Large Language Models for Test-Free Fault Localization

inferredcites →https://doi.org/10.1145/3607199.3607242openalex-snapshot

DiverseVul: A New Vulnerable Source Code Dataset for Deep Learning Based Vulnerability Detection

inferredcites →https://doi.org/10.1145/3611643.3616256openalex-snapshot

RAP-Gen: Retrieval-Augmented Patch Generation with CodeT5 for Automatic Program Repair

inferredcites →https://doi.org/10.1145/3639476.3639762openalex-snapshot

Large Language Model for Vulnerability Detection: Emerging Results and Future Directions

inferredcites →https://doi.org/10.1145/3639478.3643065openalex-snapshot

Prompt-Enhanced Software Vulnerability Detection Using ChatGPT

inferredcites →https://doi.org/10.1145/3649828openalex-snapshot

Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach

inferredcites →https://doi.org/10.1145/3653718openalex-snapshot

Automatically Inspecting Thousands of Static Bug Warnings with Large Language Model: How Far Are We?

inferredcites →https://doi.org/10.1145/3708522openalex-snapshot

Large Language Model for Vulnerability Detection and Repair: Literature Review and the Road Ahead

inferredcites →https://doi.org/10.1145/3715738openalex-snapshot

Code Change Intention, Development Artifact, and History Vulnerability: Putting Them Together for Vulnerability Fix Detection by LLM

inferredcites →https://doi.org/10.1145/3728887openalex-snapshot

Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection

inferredcites →https://doi.org/10.1145/3760775openalex-snapshot

VulScribeR: Exploring RAG-based Vulnerability Augmentation with LLMs

inferredcites →https://doi.org/10.1145/3769082openalex-snapshot

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights

inferredcites →https://doi.org/10.1162/tacl_a_00638openalex-snapshot

Lost in the Middle: How Language Models Use Long Contexts

inferredcites →https://doi.org/10.13140/rg.2.2.12588.17284openalex-snapshot

Minimizing False Positives in Static Bug Detection via LLM-Enhanced Path Feasibility Analysis

inferredcites →https://doi.org/10.18653/v1/2024.findings-acl.943openalex-snapshot

Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever

inferredcites →https://doi.org/10.48550/arxiv.2311.12420openalex-snapshot

How Far Have We Gone in Vulnerability Detection Using Large Language Models

inferredcites →https://doi.org/10.48550/arxiv.2312.05275openalex-snapshot

Exploring the Limits of ChatGPT in Software Security Applications

inferredcites →https://doi.org/10.48550/arxiv.2402.17230openalex-snapshot

Chain-of-Thought Prompting of Large Language Models for Discovering and Fixing Software Vulnerabilities

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-35576-8_3openalex-snapshot

Evaluating LLMs for Real-World Web Vulnerability Detection

inferred← citeshttps://doi.org/10.1007/978-3-032-35576-8_5openalex-snapshot

Revisiting Vul-RAG: Reproducibility and Replicability of RAG-Based Vulnerability Detection With Open-Weight Models

inferred← citeshttps://doi.org/10.1007/s11416-026-00641-0openalex-snapshot

Towards stack buffer overflow detection in stripped binaries with context-augmented LLMs

inferred← citeshttps://doi.org/10.1016/j.jss.2026.113078openalex-snapshot

Cross-view subgraph learning for function-level vulnerability detection

inferred← citeshttps://doi.org/10.1108/ftpgl-11-2025-0068openalex-snapshot

Neurosymbolic code auditing

inferred← citeshttps://doi.org/10.1109/access.2026.3663784openalex-snapshot

Transformation of Vulnerability Management Through Artificial Intelligence: An Overview of Generative and Learning Models

inferred← citeshttps://doi.org/10.1109/access.2026.3732574openalex-snapshot

QLoRA-Fusion-Based Large Language Model Framework for Automated Vulnerability-Weakness Mapping in Industrial Control Systems

inferred← citeshttps://doi.org/10.1109/acsacw69556.2025.00065openalex-snapshot

Autopwn: Automatic Code-Reuse Exploit Generation Framework with Agentic AI

inferred← citeshttps://doi.org/10.1109/aibdf67964.2025.11440844openalex-snapshot

Uncertainty-Aware RAG: Trustworthy Generation and Risk Control

inferred← citeshttps://doi.org/10.1109/ainit70033.2026.11557646openalex-snapshot

Retrieval-Augmented Taint Specification Inference for Vulnerability Detection

inferred← citeshttps://doi.org/10.1109/ainit70033.2026.11558084openalex-snapshot

A Long Code Text Compression Method for Large Language Models

inferred← citeshttps://doi.org/10.1109/bigdata66926.2025.11402509openalex-snapshot

Explainable Retrieval and Graph Augmented Code Vulnerability Repair Recommendations

inferred← citeshttps://doi.org/10.1109/cnml68938.2026.11453177openalex-snapshot

Coordinated Semantic Alignment and Evidence Constraints for Retrieval-Augmented Generation with Large Language Models

inferred← citeshttps://doi.org/10.1109/cscwd68734.2026.11582733openalex-snapshot

VulRetriever: Learning Program Representation for Vulnerability Detection

inferred← citeshttps://doi.org/10.1109/ic2pct68894.2026.11584409openalex-snapshot

Agentic Artificial Intelligence with Knowledge-Based Reasoning for Automated Vulnerability Triage in Collaborative Software Repositories

inferred← citeshttps://doi.org/10.1109/icassp55912.2026.11462306openalex-snapshot

A Malicious Policy Detection Approach Enhanced by Threat Knowledge in LLM-Based Embodied Robots

inferred← citeshttps://doi.org/10.1109/icce67443.2026.11449910openalex-snapshot

ALERT: A Closed-Loop SOC Agent for Web and API Security with CVE-Based Intelligence and Adaptive Anomaly Detection

inferred← citeshttps://doi.org/10.1109/icoeca68095.2026.11485085openalex-snapshot

A Benchmarking Study of Multi-Layer Security Filters for Secure RAG Pipelines

inferred← citeshttps://doi.org/10.1109/isdfs69419.2026.11459116openalex-snapshot

From Binary Vulnerability Detection to CWE Classification: A Hierarchical Prompting Study

inferred← citeshttps://doi.org/10.1109/jiot.2026.3697600openalex-snapshot

VulKnow: Enhancing Vulnerability Detection With Structured Knowledge and Large Language Models

inferred← citeshttps://doi.org/10.1109/saner67736.2026.00072openalex-snapshot

VFLAgent: A Chain-of-Thought-Guided Multi-Agent Collaboration Framework for Vulnerable Function Localization

inferred← citeshttps://doi.org/10.1109/sp63933.2026.00156openalex-snapshot

TRIGFUZZ: Triggering Conditions Guided Directed Fuzzing

inferred← citeshttps://doi.org/10.1109/tdsc.2026.3691741openalex-snapshot

Clara: A Cross-Modal Learning Framework for Enhanced Vulnerability Detection

inferred← citeshttps://doi.org/10.1145/3832783.3834420openalex-snapshot

GraphLedger: Repository-Level Vulnerability Detection via Graph-Based Compression and Assumption Validation

inferred← citeshttps://doi.org/10.1145/3832783.3834522openalex-snapshot

No Isolated Evolution, No Blind Search: Memory-Guided Prompt Co-evolution for Industrial Multi-agent Vulnerability Detection

inferred← citeshttps://doi.org/10.1145/3842650.3843175openalex-snapshot

Towards Budget-Aware Early Candidate Selection for Vulnerability Analysis

inferred← citeshttps://doi.org/10.3390/app16073332openalex-snapshot

On the Applicability of LLMs and SLMs for Privacy-Preserving Named Entity Recognition in Financial Applications

inferred← citeshttps://doi.org/10.3390/electronics15163666openalex-snapshot

BinVulRAG: Knowledge-Level Retrieval-Augmented Detection of Known Vulnerabilities in Binary Functions

inferred← citeshttps://doi.org/10.3390/jcp6050163openalex-snapshot

Raw CVE/CWE Retrieval Does Not Improve LLM-Based Vulnerability Detection in Python: A Pre-Specified Null Result and a Retrieval-Dose Audit

inferred← citeshttps://doi.org/10.5753/sast.2026.31274openalex-snapshot

Do SAST Alerts Become Reproducible Tests? Evaluating Context-Enriched LLMs for Security Verification

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.