 Important questions remain. According to Direct Representation models prescribe us to imagine certain things about their target system. The account remains silent, however, on the relationship between what a model prescribes us to imagine and what a model user should actually infer about the target system, and so it offers no answer to the ER-problem. Levy (2015) identifies this as a gap in Toon’s account and proposes to fill it by invoking Yablo’s (2014) notion of “partial truth”, the idea being that a model user should take the imagined propositions to be partially true of their target systems. However, as Levy admits, there are other sorts of cases that don’t fit the mould, most notably distortive idealisations. These require a different treatment and it’s an open question what this treatment would be.