// abstract.preview Scaling vision models on industry-scale data presents distinct trade-offs between architecture, data curation, and downstream task transfer. We study how representations behave under heterogeneous web-scale signal and propose a recipe for stable scaling across multiple visual tasks. arXiv:2602.16918 · Meta · 2026