It doesn't look like the architecture in this paper supports pervasive speculation, which the Mill can via its "Not-a-Result" (NAR) bits on each data element. Vectors on the Mill have such a bit both for the entire vector, and for each element within the vector, which (along with other novelties) is supposed to help both with vectorizing and software pipelining code that can't be on conventional architectures. Ivan emphasizes in the videos that these features are what make the Mill capable of high ILP, which is why they go very wide (33 on "gold").