We describe the system Dubformer entered in the WMT26 General MT shared task, an un- constrained system built on our video-dubbing pipeline. It rests on two commitments. A doc- ument is never translated as raw text: it is first decomposed into a structure chosen for its do- main — scenes carrying speaker and audio- visual context for spoken dialogue, markup- masked segments for web documents, value- only segments for localization resources — so that non-linguistic material is protected by construction and everything needed for consis- tency is in front of the model at once. And no translation is taken on trust: every segment is checked by a second model from a different family for hallucination and for drift from the meaning of the source, and a segment it rejects is re-translated with the reason attached rather than filled in from a fallback.