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

Official implementation of RiskLoc, a method for localizing multi-dimensional root causes in time-series data.

Root Cause Analysis in the Industrial Domain using Knowledge Graphs: A Case Study on Power Transformers

Blame the right commit, not just the right file — MCP server walks a stack trace through git blame and PR context to surface root cause and author.

Tiny debugging puzzle about tracing incident logs through a call graph

Log investigation agent — ingests CloudWatch/Datadog logs, identifies root cause patterns, suggests fixes using LLM analysis

调试建筑师：项目完成后扫描报错、分析根因、归档教训、生成预防规则、检测技能漏洞。

Portable AI-assisted debugging skill: root cause first, minimal patch, verification, risk, and learning log.

Evidence-based, replicable protocols and rigorous n=1 case studies for endometriosis and adenomyosis. Root-cause framework, no hormonal contraception, WHOOP + Garmin tracked. Part of the EndEndo.io ecosystem.

Diagnose stack traces and logs locally to save AI tokens - root cause, the exact frame, and a fix, without spending a Claude/GPT call. Optional AI escalation.