AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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SkyReg is introduced, a dataset and standardized benchmark for pixel-level drone-to-satellite geo-registration, providing dense per-pixel geo-location supervision across diverse settings (orthographic and perspective), scene types, and camera configurations.
X-GeoP2P, a coarse-to-fine localization pipeline that combines adapted versions of GAReT and X-VGGT, is presented, a coarse-to-fine localization pipeline that combines adapted versions of GAReT and X-VGGT.
Mean Cumulative Drift (MCD), an embedding-based measure of content retention across three representation spaces, and Multi-Generation GenEval (MGG), extending GenEval's object-level compliance scoring across generations are proposed, to quantify drift.
Inspired by render-based compression, this work renders textual chains of thought into images, extract visual features, and construct a discrete latent vocabulary via clustering-based fine-tuning, and concludes that discrete latent tokens provide a controllable and interpretable basis for efficient latent reasoning.
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