\section{Computational Resources}
\label{appendix:computational-resources}

All training and inference experiments were conducted on a single NVIDIA GeForce RTX 3090 GPU with 24 GB VRAM.

Track A training uses automatic mixed precision (AMP) with gradient scaling, which reduces both memory consumption and wall-clock time. Track B training processes batches of multi-view triplets with periodic CUDA cache clearing to manage GPU memory. Both tracks perform evaluation after each epoch, which is included in the reported training times.

