AI RESEARCH
SCORE: Replacing Layer Stacking with Contractive Recurrent Depth
arXiv CS.AI
•
ArXi:2603.10544v1 Announce Type: cross Residual connections are central to modern deep neural networks, enabling stable optimization and efficient information flow across depth. In this work, we propose SCORE (Skip-Connection ODE Recurrent Embedding), a discrete recurrent alternative to classical layer stacking.