The experiments themselves should be conducted on fully logged public infrastructure so that it impossible to miss anything out. This final log would include th

The experiments themselves should be conducted on fully logged public infrastructure so that it impossible to miss anything out. This final log would include the inputs: shell commands/git repositories/Dockerfiles, training and testing data; important intermediate data: Docker images and trained models; and outputs: tables of numbers or what have you. This way, the whole thing is vouched for automatically, and the editors don't need to do anything. It would be a big change, but this is actually possible, and it would make things easier for everyone down the line.