AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes tfour, a twin-critic method that calibrates token-level advantages from a single generated trajectory, and describes optimal mixing under the signal-retention constraint and establishes an upper bound on residual mean-induced drift.
Experiments on Qwen3-VL-4B and Qwen3-VL-8B show that incorporating pattern-specific penalties into reinforcement learning can mitigate cross-mode misalignment while incurring a marginal task performance trade-off.
Experiments show ElementCheck consistently improves factuality verification across five backbone models while maintaining a favorable accuracy-cost trade-off, and further analyses demonstrate that complexity-aware verification reduces unnecessary re-verification and maintains stability across different backbones.
This survey bridges the existing gap by presenting a comprehensive blueprint for scientific agents' design and introduces a unified taxonomy based on capability envelope and capability maturity, characterizing both the scope of scientific workflow coverage and the reliability of agent behavior under realistic research...
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