AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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CalibHyper is proposed, a chance-corrected relational hypergraph method based on the joint label distribution that achieves ROC-AUC competitive with the strongest reported results.
Time series foundation models must preserve multi-domain breadth, probabilistic output, and multiple temporal scales, but parameter count grows when each scale receives a separate representation. We introduce Fracast-0, a probabilistic forecasting foundation model that exploits temporal self-similarity to reuse one ope...
DeepVoyager-VL is proposed, a long-horizon multimodal deep-search framework for vision-in-the-loop search that constructs a multimodal event graph to drive data synthesis, yielding problems with intermediate visual dependencies and long reasoning chains.
SearchArt is introduced, a scalable framework for training long-horizon search agents through verification-driven task synthesis and a multi-stage post-training pipeline, which exhibits adaptive search planning, iterative evidence aggregation, and complex reasoning over extended interaction horizons.
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