human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "lattice agreement in message passing systems"
  Abstract: This paper studies the lattice agreement problem and the generalized lattice agreement problem in distributed message passing systems. In the lattice agreement problem, given input values from a lattice, processes have to non-trivially decide output values that lie on a chain. We consider the lattice agreement problem in both synchronous and asynchronous systems. For synchronous lattice agreement, we present two algorithms which run in $\log f$ and $\min \{O(\log^2 h(L)), O(\log^2 f)\}$ rounds, respectively, where $h(L)$ denotes the height of the {\em input sublattice} $L$, $f < n$ is the number of crash failures the system can tolerate, and $n$ is the number of processes in the system. These algorithms have significant better round complexity than previously known algorithms. The algorithm by Attiya et al. \cite{attiya1995atomic} takes $\log n$ synchronous rounds, and the algorithm by Mavronicolasa \cite{mavronicolasabound} takes $\min \{O(h(L)), O(\sqrt{f})\}$ rounds. For asynchronous lattice agreement, we propose an algorithm which has time complexity of $2 \cdot \min \{h(L), f + 1\}$ message delays which improves on the previously known time complexity of $O(n)$ message delays. #R##N#The generalized lattice agreement problem defined by Faleiro et al in \cite{faleiro2012generalized} is a generalization of the lattice agreement problem where it is applied for the replicated state machine. We propose an algorithm which guarantees liveness when a majority of the processes are correct in asynchronous systems. Our algorithm requires $\min \{O(h(L)), O(f)\}$ units of time in the worst case which is better than $O(n)$ units of time required by the algorithm of Faleiro et al. \cite{faleiro2012generalized}.

Connected through hyperedge HE-1 (induced by source paper "synchronous byzantine lattice agreement in o log f rounds"):
  with members:
    - "byzantine approximate agreement on graphs"
    - "byzantine lattice agreement in synchronous systems"
    - "byzantine generalized lattice agreement"
    - "linearizable state machine replication of state based crdts without logs"
    - "line recovery by programmable particles"
    - "population protocols with faulty interactions the impact of a leader"
    - "simple gradecast based algorithms"

Connected through hyperedge HE-2 (induced by source paper "byzantine lattice agreement in synchronous systems"):
  with members:
    - "synchronous byzantine lattice agreement in o log f rounds"
    - "byzantine approximate agreement on graphs"
    - "byzantine generalized lattice agreement"
    - "linearizable state machine replication of state based crdts without logs"
    - "linearizable replicated state machines with lattice agreement"
    - "simple gradecast based algorithms"

Connected through hyperedge HE-3 (induced by source paper "byzantine approximate agreement on graphs"):
  with members:
    - "self stabilising byzantine clock synchronisation is almost as easy as consensus"
    - "near optimal self stabilising counting and firing squads"
    - "byzantine vector consensus in complete graphs"
    - "easy impossibility proofs for k set agreement in message passing systems"

Connected through hyperedge HE-4 (induced by source paper "byzantine generalized lattice agreement"):
  with members:
    - "byzantine approximate agreement on graphs"
    - "conflict free replicated data types crdts"
    - "linearizable replicated state machines with lattice agreement"

Question: Please tell me which class the center node 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)