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 "a probabilistic model of the bitcoin blockchain"):
  Abstract: The Bitcoin transaction graph is a public data structure organized as transactions between addresses, each associated with a logical entity. In this work, we introduce a complete probabilistic model of the Bitcoin Blockchain. We first formulate a set of conditional dependencies induced by the Bitcoin protocol at the block level and derive a corresponding fully observed graphical model of a Bitcoin block. We then extend the model to include hidden entity attributes such as the functional category of the associated logical agent and derive asymptotic bounds on the privacy properties implied by this model. At the network level, we show evidence of complex transaction-to-transaction behavior and present a relevant discriminative model of the agent categories. Performance of both the block-based graphical model and the network-level discriminative model is evaluated on a subset of the public Bitcoin Blockchain.

Includes members:
  Member "characterizing entities in the bitcoin blockchain":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "cascading machine learning to attack bitcoin anonymity")
  Member "data mining for detecting bitcoin ponzi schemes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "an overview on smart contracts challenges advances and platforms")
  Member "ransomware payments in the bitcoin ecosystem":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a prevention and a traction system for ransomware attacks")
  Member "toward open data blockchain analytics a bitcoin perspective":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "characterizing entities in the bitcoin blockchain")
  Member "blockchain a graph primer":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "a survey on applications of game theory in blockchain")
  Member "the unreasonable effectiveness of address clustering":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "anti money laundering in bitcoin experimenting with graph convolutional networks for financial forensics")
  Member "topic models conditioned on arbitrary features with dirichlet multinomial regression":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "homogeneity based transmissive process to model true and false news in social networks")
  Member "community structure in large networks natural cluster sizes and the absence of large well defined clusters":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "certified robustness of community detection against adversarial structural perturbation via randomized smoothing")

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.CR(Cryptography and Security)