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: "enhancing accountability and trust in distributed ledgers"
  Abstract: Permisionless decentralized ledgers ("blockchains") such as the one underlying the cryptocurrency Bitcoin allow anonymous participants to maintain the ledger, while avoiding control or "censorship" by any single entity. In contrast, permissioned decentralized ledgers exploit real-world trust and accountability, allowing only explicitly authorized parties to maintain the ledger. Permissioned ledgers support more flexible governance and a wider choice of consensus mechanisms. Both kinds of decentralized ledgers may be susceptible to manipulation by participants who favor some transactions over others. The real-world accountability underlying permissioned ledgers provides an opportunity to impose fairness constraints that can be enforced by penalizing violators after-the- fact. To date, however, this opportunity has not been fully exploited, unnecessarily leaving participants latitude to manipulate outcomes undetectably. This paper draws attention to this issue, and proposes design principles to make such manipulation more difficult, as well as specific mechanisms to make it easier to detect when violations occur.

Connected through hyperedge HE-1 (induced by source paper "on fairness in committee based blockchains"):
  with members:
    - "cryptocurrency egalitarianism a quantitative approach"
    - "fairledger a fair blockchain protocol for financial institutions"
    - "dissecting tendermint"
    - "blockchain abstract data type"
    - "compounding of wealth in proof of stake cryptocurrencies"
    - "hyperledger fabric a distributed operating system for permissioned blockchains"
    - "sbft a scalable decentralized trust infrastructure for blockchains"
    - "leader randomization signature free byzantine consensus for consortium blockchains"

Connected through hyperedge HE-2 (induced by source paper "correctness and fairness of tendermint core blockchains"):
  with members:
    - "the latest gossip on bft consensus"
    - "blockchains consensus protocols in the wild"
    - "enhancing bitcoin security and performance with strong consistency via collective signing"
    - "algorand the efficient and democratic ledger"
    - "bitcoin meets strong consistency"
    - "the miner s dilemma"

Connected through hyperedge HE-3 (induced by source paper "a web of blocks"):
  with members:
    - "scalable byzantine consensus via hardware assisted secret sharing"
    - "decentralized trusted timestamping using the crypto currency bitcoin"

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)