Appreciate the restraint here — especially avoiding hidden correction mechanisms. In my experience, temporal systems become trustworthy only when they’re allowed to visibly fail rather than silently compensate.

Looking forward to seeing how this behaves under adversarial or edge-case temporal edits.

This is really impressive work — the Chain-of-Frames approach sounds like a big step forward for keeping edits consistent over time, especially without relying on masks. The length generalization is huge too; long-video editing is where a lot of tools still struggle. It actually reminds me of how platforms like Avanquest https://avanquest.pissedconsumer.com/review.html have been pushing toward more unified, user-friendly creative tools, but this feels much more research-driven and next-level. Excited to see how VideoCoF evolves and gets adopted.