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: "local distributed decision"
  Abstract: A central theme in distributed network algorithms concerns understanding and coping with the issue of locality. Inspired by sequential complexity theory, we focus on a complexity theory for distributed decision problems. In the context of locality, solving a decision problem requires the processors to independently inspect their local neighborhoods and then collectively decide whether a given global input instance belongs to some specified language. This paper introduces several classes of distributed decision problems, proves separation among them and presents some complete problems. More specifically, we consider the standard LOCAL model of computation and define LD (for local decision) as the class of decision problems that can be solved in constant number of communication rounds. We first study the intriguing question of whether randomization helps in local distributed computing, and to what extent. Specifically, we define the corresponding randomized class BPLD, and ask whether LD=BPLD. We provide a partial answer to this question by showing that in many cases, randomization does not help for deciding hereditary languages. In addition, we define the notion of local many-one reductions, and introduce the (nondeterministic) class NLD of decision problems for which there exists a certificate that can be verified in constant number of communication rounds. We prove that there exists an NLD-complete problem. We also show that there exist problems not in NLD. On the other hand, we prove that the class NLD#n, which is NLD assuming that each processor can access an oracle that provides the number of nodes in the network, contains all (decidable) languages. For this class we provide a natural complete problem as well.

Connected through hyperedge HE-1 (induced by source paper "local distributed algorithms in highly dynamic networks"):
  with members:
    - "simple dynamic algorithms for maximal independent set and other problems"
    - "fully dynamic maximal independent set with sublinear update time"
    - "improved algorithms for fully dynamic maximal independent set"
    - "the cost of global broadcast in dynamic radio networks"
    - "information spreading in dynamic networks under oblivious adversaries"
    - "optimal dynamic distributed mis"
    - "enabling minimal dominating set in highly dynamic distributed systems"
    - "an improved distributed algorithm for maximal independent set"

Connected through hyperedge HE-2 (induced by source paper "local verification of global proofs"):
  with members:
    - "proof labeling schemes broadcast unicast and in between"
    - "error sensitive proof labeling schemes"
    - "a hierarchy of local decision"

Connected through hyperedge HE-3 (induced by source paper "the power of distributed verifiers in interactive proofs"):
  with members:
    - "redundancy in distributed proofs"
    - "strong eth breaks with merlin and arthur short non interactive proofs of batch evaluation"

Connected through hyperedge HE-4 (induced by source paper "towards a complexity theory for the congested clique"):
  with members:
    - "new classes of distributed time complexity"
    - "a time hierarchy theorem for the local model"
    - "lcl problems on grids"
    - "deterministic subgraph detection in broadcast congest"
    - "tight bounds for distributed graph computations"
    - "further algebraic algorithms in the congested clique model and applications to graph theoretic problems"
    - "distributed degree splitting edge coloring and orientations"
    - "survey of distributed decision"

Connected through hyperedge HE-5 (induced by source paper "distributed testing of excluded subgraphs"):
  with members:
    - "fast distributed algorithms for testing graph properties"
    - "distributed graph automata"
    - "algebraic methods in the congested clique"
    - "distributed graph automata"
    - "near constant time distributed algorithms on a congested clique"
    - "what can be decided locally without identifiers"
    - "optimal deterministic routing and sorting on the congested clique"
    - "tri tri again finding triangles and small subgraphs in a distributed setting"

Connected through hyperedge HE-6 (induced by source paper "fast and compact self stabilizing verification computation and fault detection of an mst"):
  with members:
    - "fast self stabilizing minimum spanning tree construction using compact nearest common ancestor labeling scheme"
    - "randomized distributed decision"
    - "on the impact of identifiers on local decision"
    - "distributed verification and hardness of distributed approximation"
    - "a new self stabilizing minimum spanning tree construction with loop free property"

Connected through hyperedge HE-7 (induced by source paper "node labels in local decision"):
  with members:
    - "weak models of distributed computing with connections to modal logic"
    - "lower bounds for local approximation"
    - "what can be decided locally without identifiers"
    - "on the impact of identifiers on local decision"

Connected through hyperedge HE-8 (induced by source paper "plurality consensus in the gossip model"):
  with members:
    - "the power of two choices in distributed voting"
    - "determining majority in networks with local interactions and very small local memory"
    - "rumor spreading in random evolving graphs"
    - "distributed community detection in dynamic graphs"
    - "simple dynamics for plurality consensus"
    - "timing in chemical reaction networks"
    - "consensus on the initial global majority by local majority polling for a class of sparse graphs"
    - "near optimal random walk sampling in distributed networks"

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)