Before revision:  The former refers to the literal definition of each propaganda technique, which is utilized to get class representations for regularizing the model parameters. The latter refers to logical consistency between coarse- and fine- grained predictions, which is used to regularize the training process with propositional Boolean expressions.
After revision:  The former refers to the logical consistency between coarse- and fine- grained predictions, which is used to regularize the training process with propositional Boolean expressions.