ai-research-survey

Systematic scan of agentic development research. What's signal, what's noise.
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paper_type.json (323B)


      1 {
      2   "paper_type": "empirical",
      3   "reason": "The paper introduces auditing agents to detect adversarial fine-tuning and validates them experimentally with quantitative results (1400+ audits, 56.2% TPR across 8 attack types), making the primary contribution empirical findings rather than a benchmark dataset or framework."
      4 }

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