TL;DR of the paper, generated automatically.

Video model that decides whether to reason or answer directly, based on frame evidence.

• Method: it reasons only when the sampled frames don't show enough.
• Training: 6.7K curated samples, two-stage reinforcement learning.
• Results: improves on its base model at 32 and 64 frames, per the abstract.