Several classes of networks are special cases of networks with in-block memory (NiBMs) including channels with state known causally at the encoder and relay networks with delay. One advantage of this point of view is that classic theory developed for discrete memoryless networks can be applied with little change to NiBMs.  For instance, we show that quantize-forward network coding achieves rates within an additive gap of a cut bound for Gaussian networks.