This work, Queuing Network Topology Inference Using Passive Measurements, studies for the first time the topology inference problem based on possibly uncorrelated end-to-end delay measurements originating from a single source. Compared to existing works using various kinds of active probing mechanisms, we take a very different approach of inferring the detailed queuing dynamics inside the network and using the inferred parameters (specifically, residual capacities) as “fingerprints” to detect queues shared across paths and construct a tree topology. This is another addition to our line of works on network topology tomography. Congratulations to Yilei!