human: Given a hyperedge-centered hypergraph: <hypergraph>, where the center hyperedge is induced by one source paper and its member nodes are the cited papers.

Details of the hypergraph:
Center hyperedge (induced by source paper "compact routing messages in self healing trees"):
  Abstract: Existing compact routing schemes, e.g., Thorup and Zwick [SPAA 2001] and Chechik [PODC 2013], often have no means to tolerate failures, once the system has been setup and started. This paper presents, to our knowledge, the first self-healing compact routing scheme. Besides, our schemes are developed for low memory nodes, i.e., nodes need only $O(\log^2 n)$ memory, and are thus, compact schemes. #R##N#We introduce two algorithms of independent interest: The first is CompactFT, a novel compact version (using only $O(\log n)$ local memory) of the self-healing algorithm Forgiving Tree of Hayes et al. [PODC 2008]. The second algorithm (CompactFTZ) combines CompactFT with Thorup-Zwick's tree-based compact routing scheme [SPAA 2001] to produce a fully compact self-healing routing scheme. In the self-healing model, the adversary deletes nodes one at a time with the affected nodes self-healing locally by adding few edges. CompactFT recovers from each attack in only $O(1)$ time and $\Delta$ messages, with only +3 degree increase and $O(log \Delta)$ graph diameter increase, over any sequence of deletions ($\Delta$ is the initial maximum degree). #R##N#Additionally, CompactFTZ guarantees delivery of a packet sent from sender s as long as the receiver t has not been deleted, with only an additional $O(y \log \Delta)$ latency, where $y$ is the number of nodes that have been deleted on the path between $s$ and $t$. If $t$ has been deleted, $s$ gets informed and the packet removed from the network.

Includes members:
  Member "fast and compact self stabilizing verification computation and fault detection of an mst":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on underlay aware self stabilizing overlay networks")
  Member "self healing computation":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "resource competitive sybil defenses")
  Member "fast and compact distributed verification and self stabilization of a dfs tree":
    also connected through other hyperedges:
      (none)
  Member "dex self healing expanders":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "some problems in compact message passing")
  Member "edge preserving self healing keeping network backbones densely connected":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "self healing computation")
  Member "algorithms for self healing networks":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "some problems in compact message passing")
  Member "the forgiving graph a distributed data structure for low stretch under adversarial attack":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "some problems in compact message passing")
  Member "picking up the pieces self healing in reconfigurable networks":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "relays a new approach for the finite departure problem in overlay networks")

Question: Please tell me which class the source paper belongs to. The 40 classes are: cs.NA(Numerical Analysis), cs.MM(Multimedia), cs.LO(Logic in Computer Science), cs.CY(Computers and Society), cs.CR(Cryptography and Security), cs.DC(Distributed, Parallel, and Cluster Computing), cs.HC(Human-Computer Interaction), cs.CE(Computational Engineering, Finance, and Science), cs.NI(Networking and Internet Architecture), cs.CC(Computational Complexity), cs.AI(Artificial Intelligence), cs.MA(Multiagent Systems), cs.GL(General Literature), cs.NE(Neural and Evolutionary Computing), cs.SC(Symbolic Computation), cs.AR(Hardware Architecture), cs.CV(Computer Vision and Pattern Recognition), cs.GR(Graphics), cs.ET(Emerging Technologies), cs.SY(Systems and Control), cs.CG(Computational Geometry), cs.OH(Other Computer Science), cs.PL(Programming Languages), cs.SE(Software Engineering), cs.LG(Machine Learning), cs.SD(Sound), cs.SI(Social and Information Networks), cs.RO(Robotics), cs.IT(Information Theory), cs.PF(Performance), cs.CL(Computation and Language), cs.IR(Information Retrieval), cs.MS(Mathematical Software), cs.FL(Formal Languages and Automata Theory), cs.DS(Data Structures and Algorithms), cs.OS(Operating Systems), cs.GT(Computer Science and Game Theory), cs.DB(Databases), cs.DL(Digital Libraries), cs.DM(Discrete Mathematics). Directly output the class name.

gpt: cs.DC(Distributed, Parallel, and Cluster Computing)