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Paper review 2026-05-29: 10 papers reviewed, 0 candidate rule(s) #96

Description

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Automated batch from auto-improvement/scripts/paper_review.py.

  • Research roll-up: auto-improvement/research/2026-05-29T04-44_paper-batch.md
  • Candidates drafted under auto-improvement/pending/: 0

Candidates

No candidate surfaced relevant detector ideas this batch.

All papers reviewed

  • ⏭️ SecLens: Role-Specific Evaluation of LLMs for Security Vulnerability Detection (arXiv, 2026.04.02)
  • ⏭️ CyberThreat-Eval: Can Large Language Models Automate Real-World Threat Research? (TMLR, 2026.03.10)
  • ⏭️ Minerva: Reinforcement Learning with Verifiable Rewards for Cyber Threat Intelligence LLMs (arxiv, 2026.01.31)
  • ⏭️ Towards a Cognitive-Support Tool for Threat Hunters (arxiv, 2026.01.31)
  • ⏭️ AEGIS: White-Box Attack Path Generation using LLMs and Training Effectiveness Evaluation for Large-Scale Cyber Defence Exercises (arxiv, 2026.01.30)
  • ⏭️ RedSage: A Cybersecurity Generalist LLM (arxiv, 2026.01.29)
  • ⏭️ User-Centric Phishing Detection: A RAG and LLM-Based Approach (arxiv, 2026.01.29)
  • ⏭️ Llama-3.1-FoundationAI-SecurityLLM-Reasoning-8B Technical Report (arxiv, 2026.01.28)
  • ⏭️ Lightweight LLMs for Network Attack Detection in IoT Networks (arxiv, 2026.01.21)
  • ⏭️ Towards Cybersecurity Superintelligence: from AI-guided humans to human-guided AI (arxiv, 2026.01.21)

Reviewer checklist:

  • Confirm each ✅ entry against the actual paper
  • Promote accepted ones into the appropriate aigis/ module via PR
  • Close + delete pending files for rejected proposals

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