Academic papers related to fuzzing, binary analysis, and exploit dev, which I want to read or have already read

[ICLR'25] OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures?

Implementation of RiskLoc, a method for localizing multi-dimensional root causes.

Root Cause Analysis for Kubernetes

Python tool that analyzes Slack conversations with AWS Bedrock AI to generate detailed RCA reports and actionable learnings for Dev and QA teams, with JIRA integration and intelligent summarization.

MHP-RCA is a Hawkes process-based RCA framework that integrates multi-source data.

Implementaion of root cause analysis methods for microservices

A curated list of resources, methodologies, frameworks, and case studies for performing RCA on UAV systems.

AI Agents performing RCA with API support

OpenStack RCA (Root Cause Analysis) Engine

RCA Ace is designed for organizations seeking to enhance their understanding and utilization of insights derived from Root Cause Analyses (RCAs).

🔍 Analyze Slack conversations effortlessly with BugLens, generating root cause analyses and QA insights using AWS Bedrock AI models.

End-to-end RAG pipeline + FastAPI micro-agents (Super, RCA, SOP, Ticket) with a React/Vite chat frontend and Chroma vector store