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 "sum rate capacity for symmetric gaussian multiple access channels with feedback"):
  Abstract: The feedback sum-rate capacity is established for the symmetric $J$-user Gaussian multiple-access channel (GMAC). The main contribution is a converse bound that combines the dependence-balance argument of Hekstra and Willems (1989) with a variant of the factorization of a convex envelope of Geng and Nair (2014). The converse bound matches the achievable sum-rate of the Fourier-Modulated Estimate Correction strategy of Kramer (2002).

Includes members:
  Member "strengthening the entropy power inequality":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "an entropy inequality for symmetric random variables")
  Member "posterior matching scheme for gaussian multiple access channel with feedback":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "on the capacity of symmetric gaussian interference channels with feedback")
  Member "dependence balance based outer bounds for gaussian networks with cooperation and feedback":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "joint state sensing and communication over memoryless multiple access channels")
  Member "variations on a theme by schalkwijk and kailath":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "feedback channel communication with low precision arithmetic")
  Member "outer bounds for multiple access channels with feedback using dependence balance":
    also connected through other hyperedges:
      (none)
  Member "optimal feedback communication via posterior matching":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "feedback channel communication with low precision arithmetic")
  Member "on the gaussian mac with imperfect feedback":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "on continuous time gaussian channels")

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)