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 "an operational information decomposition via synergistic disclosure"):
  Abstract: Multivariate information decompositions hold promise to yield insight into complex systems, and stand out for their ability to identify synergistic phenomena. However, the adoption of these approaches has been hindered by there being multiple possible decompositions, and no precise guidance for preferring one over the others. At the heart of this disagreement lies the absence of a clear operational interpretation of what synergistic information is. Here we fill this gap by proposing a new information decomposition based on a novel operationalisation of informational synergy, which leverages recent developments in the literature of data privacy. Our decomposition is defined for any number of information sources, and its atoms can be calculated using elementary optimisation techniques. The decomposition provides a natural coarse-graining that scales gracefully with the system's size, and is applicable in a wide range of scenarios of practical interest.

Includes members:
  Member "data disclosure under perfect sample privacy":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "on the robustness of information theoretic privacy measures and mechanisms")
  Member "a novel approach to multivariate redundancy and synergy":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "generalised measures of multivariate information content")
  Member "information decomposition based on cooperative game theory":
    also connected through other hyperedges:
      (none)
  Member "quantifying high order interdependencies via multivariate extensions of the mutual information":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "generalised measures of multivariate information content")
  Member "computing the unique information":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "unique information and secret key decompositions")
  Member "unique information and secret key agreement":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "generalised measures of multivariate information content")
  Member "pointwise partial information decomposition using the specificity and ambiguity lattices":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "generalised measures of multivariate information content")
  Member "measuring multivariate redundant information with pointwise common change in surprisal":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "a differentiable measure of pointwise shared information")

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.IT(Information Theory)