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: "variations on a theme by schalkwijk and kailath"
  Abstract: Schalkwijk and Kailath (1966) developed a class of block codes for Gaussian channels with ideal feedback for which the probability of decoding error decreases as a second-order exponent in block length for rates below capacity. This well-known but surprising result is explained and simply derived here in terms of a result by Elias (1956) concerning the minimum mean-square distortion achievable in transmitting a single Gaussian random variable over multiple uses of the same Gaussian channel. A simple modification of the Schalkwijk-Kailath scheme is then shown to have an error probability that decreases with an exponential order which is linearly increasing with block length. In the infinite bandwidth limit, this scheme produces zero error probability using bounded expected energy at all rates below capacity. A lower bound on error probability for the finite bandwidth case is then derived in which the error probability decreases with an exponential order which is linearly increasing in block length at the same rate as the upper bound.

Connected through hyperedge HE-1 (induced by source paper "feedback channel communication with low precision arithmetic"):
  with members:
    - "deepcode feedback codes via deep learning"
    - "interactive schemes for the awgn channel with noisy feedback"
    - "optimal feedback communication via posterior matching"
    - "concatenated coding for the awgn channel with noisy feedback"

Connected through hyperedge HE-2 (induced by source paper "sum rate capacity for symmetric gaussian multiple access channels with feedback"):
  with members:
    - "strengthening the entropy power inequality"
    - "posterior matching scheme for gaussian multiple access channel with feedback"
    - "dependence balance based outer bounds for gaussian networks with cooperation and feedback"
    - "outer bounds for multiple access channels with feedback using dependence balance"
    - "optimal feedback communication via posterior matching"
    - "on the gaussian mac with imperfect feedback"

Connected through hyperedge HE-3 (induced by source paper "a kinematic information theoretic transmission scheme for goal directed movements"):
  with members:
    - "feedback capacity of gaussian channels revisited"

Connected through hyperedge HE-4 (induced by source paper "on the energy distortion tradeoff of gaussian broadcast channels with feedback"):
  with members:
    - "on the ozarow leung scheme for the gaussian broadcast channel with feedback"
    - "interactive schemes for the awgn channel with noisy feedback"
    - "insufficiency of linear feedback schemes in gaussian broadcast channels with common message"
    - "mimo mac bc duality with linear feedback coding schemes"
    - "source channel coding theorems for the multiple access relay channel"
    - "lqg control approach to gaussian broadcast channels with feedback"
    - "optimality and approximate optimality of source channel separation in networks"
    - "sending a bivariate gaussian source over a gaussian mac with feedback"

Connected through hyperedge HE-5 (induced by source paper "on gaussian channels with feedback under expected power constraints and with non vanishing error probabilities"):
  with members:
    - "strong converse theorems for classes of multimessage multicast networks a renyi divergence approach"
    - "a proof of the strong converse theorem for gaussian multiple access channels"
    - "second order asymptotics for the gaussian mac with degraded message sets"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the third order term in the normal approximation for the awgn channel"
    - "optimum power control at finite blocklength"
    - "second order rate region of constant composition codes for the multiple access channel"
    - "information spectrum approach to second order coding rate in channel coding"

Connected through hyperedge HE-6 (induced by source paper "interactive schemes for the awgn channel with noisy feedback"):
  with members:
    - "the gaussian channel with noisy feedback improving reliability via interaction"
    - "the gaussian channel with noisy feedback near capacity performance via simple interaction"
    - "gaussian channel with noisy feedback and peak energy constraint"
    - "error exponents for the gaussian channel with active noisy feedback"
    - "optimal feedback communication via posterior matching"
    - "concatenated coding for the awgn channel with noisy feedback"
    - "joint wyner ziv dirty paper coding by modulo lattice modulation"

Connected through hyperedge HE-7 (induced by source paper "insufficiency of linear feedback schemes in gaussian broadcast channels with common message"):
  with members:
    - "lqg control approach to gaussian broadcast channels with feedback"
    - "feedback can double the prelog of some memoryless gaussian networks"
    - "achievable error exponents in the gaussian channel with rate limited feedback"
    - "feedback capacity of stationary gaussian channels"

Connected through hyperedge HE-8 (induced by source paper "feedback communication systems with limitations on incremental redundancy"):
  with members:
    - "active sequential hypothesis testing"
    - "a rate compatible sphere packing analysis of feedback coding with limited retransmissions"
    - "error exponents for variable length block codes with feedback and cost constraints"

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.IT(Information Theory)