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: "stakedag stake based consensus for scalable trustless systems"
  Abstract: Trustless systems, such as those blockchain enpowered, provide trust in the system regardless of the trust of its participants, who may be honest or malicious. Proof-of-stake (PoS) protocols and DAG-based approaches have emerged as a better alternative than the proof of work (PoW) for consensus. This paper introduces a new model, so-called \emph{\stakedag}, which aims for PoS consensus in a DAG-based trustless system. We address a general model of trustless system in which participants are distinguished by their stake or trust: users and validators. Users are normal participants with a no assumed trust and validators are high profile participants with an established trust. We then propose a new family of stake-based consensus protocols $\mathfrak{S}$, operating on the DAG as in the Lachesis protocol~\cite{lachesis01}. Specifically, we propose a stake-based protocol $S_\phi$ that leverages participants' stake as validating weights to achieve more secure distributed systems with practical Byzantine fault tolerance (pBFT) in leaderless asynchronous Directed Acyclic Graph (DAG). We then present a general model of staking for asynchronous DAG-based distributed systems.

Connected through hyperedge HE-1 (induced by source paper "on probabilistic byzantine fault tolerance"):
  with members:
    - "fantom a scalable framework for asynchronous distributed systems"
    - "practical synchronous byzantine consensus"
    - "efficient synchronous byzantine consensus"
    - "randomized protocols for asynchronous consensus"

Connected through hyperedge HE-2 (induced by source paper "stairdag cross dag validation for scalable bft consensus"):
  with members:
    - "onlay online layering for scalable asynchronous bft system"
    - "fantom a scalable framework for asynchronous distributed systems"
    - "blockmania from block dags to consensus"
    - "scaling nakamoto consensus to thousands of transactions per second"
    - "opera reasoning about continuous common knowledge in asynchronous distributed systems"
    - "algorand the efficient and democratic ledger"
    - "cryptocurrencies without proof of work"
    - "randomized protocols for asynchronous consensus"

Connected through hyperedge HE-3 (induced by source paper "fast stochastic peer selection in proof of stake protocols"):
  with members:
    - "stairdag cross dag validation for scalable bft consensus"
    - "fantom a scalable framework for asynchronous distributed systems"
    - "roulette wheel selection via stochastic acceptance"

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)