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 "promoting distributed trust in machine learning and computational simulation via a blockchain network"):
  Abstract: Policy decisions are increasingly dependent on the outcomes of simulations and/or machine learning models. The ability to share and interact with these outcomes is relevant across multiple fields and is especially critical in the disease modeling community where models are often only accessible and workable to the researchers that generate them. This work presents a blockchain-enabled system that establishes a decentralized trust between parties involved in a modeling process. Utilizing the OpenMalaria framework, we demonstrate the ability to store, share and maintain auditable logs and records of each step in the simulation process, showing how to validate results generated by computing workers. We also show how the system monitors worker outputs to rank and identify faulty workers via comparison to nearest neighbors or historical reward spaces as a means of ensuring model quality.

Includes members:
  Member "trusted multi party computation and verifiable simulations a scalable blockchain approach":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "parblockchain leveraging transaction parallelism in permissioned blockchain systems")
  Member "algorithms that remember model inversion attacks and data protection law":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "bias in data driven ai systems an introductory survey")
  Member "open algorithms for identity federation":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "privacy preserving claims exchange networks for virtual asset service providers")
  Member "novel exploration techniques nets for malaria policy interventions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "trusted multi party computation and verifiable simulations a scalable blockchain approach")
  Member "on the safety of machine learning cyber physical systems decision sciences and data products":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "training adversarial agents to exploit weaknesses in deep control policies")

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)