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 "the consensus number of a cryptocurrency"):
  Abstract: Many blockchain-based algorithms, such as Bitcoin, implement a decentralized asset transfer system, often referred to as a cryptocurrency. As stated in the original paper by Nakamoto, at the heart of these systems lies the problem of preventing double-spending ; this is usually solved by achieving consensus on the order of transfers among the participants. By treating the asset transfer problem as a concurrent object and determining its consensus number, we show that consensus is not necessary to prevent double-spending. We first consider the problem as defined by Nakamoto, where only a single process---the account owner---can withdraw from each account. Safety and liveness need to be ensured for correct account owners, whereas misbehaving account owners might be unable to perform transfers. We show that the consensus number of an asset transfer object is 1. We then consider a more general k-shared asset transfer object where up to k processes can atomically withdraw from the same account, and show that this object has consensus number k. We first establish these these results in the context of shared memory with benign faults, in order to properly understand the level of difficulty of the asset transfer problem. Then, we translate our result in the more practically relevant message passing setting with Byzantine players. We describe an asynchronous Byzantine fault-tolerant asset transfer implementation that is both simpler and more efficient than state-of-the-art consensus-based solutions. Our results are applicable to both the permissioned (private) and permissionless (public) setting, as normally their differentiation is hidden by the abstractions on top of which our algorithms are based.

Includes members:
  Member "hyperledger fabric a distributed operating system for permissioned blockchains":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "tenderbake classical bft style consensus for public blockchains")
  Member "blockchains consensus protocols in the wild":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "tenderbake classical bft style consensus for public blockchains")
  Member "a byzantine fault tolerant ordering service for the hyperledger fabric blockchain platform":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "baash enabling blockchain as a service on high performance computing systems")
  Member "revisiting fast practical byzantine fault tolerance":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "que sera consensus simple asynchronous agreement with private coins and threshold logical clocks")
  Member "enhancing bitcoin security and performance with strong consistency via collective signing":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "surface a practical blockchain consensus algorithm for real world networks")
  Member "solida a blockchain protocol based on reconfigurable byzantine consensus":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on the feasibility of sybil attacks in shard based permissionless blockchains")
  Member "bitcoin meets strong consistency":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "on the feasibility of sybil attacks in shard based permissionless blockchains")
  Member "cryptocurrencies without proof of work":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "blockchain consensus algorithms a survey")

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)