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: "moderate deviation asymptotics for variable length codes with feedback"
  Abstract: We consider data transmission across discrete memoryless channels (DMCs) using variable-length codes with feedback. We consider the family of such codes whose rates are $\rho_N$ below the channel capacity $C$, where $\rho_N$ is a positive sequence that tends to zero slower than the reciprocal of the square root of the expectation of the (random) blocklength $N$. This is known as the moderate deviations regime and we establish the optimal moderate deviations constant. We show that in this scenario, the error probability decays sub-exponentially with speed $\exp(-(B/C)N\rho_N)$, where $B$ is the maximum relative entropy between output distributions of the DMC.

Connected through hyperedge HE-1 (induced by source paper "short packet transmission via variable length codes in the presence of noisy stop feedback"):
  with members:
    - "fast harq over finite blocklength codes a technique for low latency reliable communication"
    - "low latency short packet transmissions fixed length or harq"
    - "ultra reliable and low latency wireless communication tail risk and scale"
    - "reliable transmission of short packets through queues and noisy channels under latency and peak age violation guarantees"
    - "energy latency tradeoff in ultra reliable low latency communication with retransmissions"
    - "short packets over block memoryless fading channels pilot assisted or noncoherent transmission"
    - "coherent multiple antenna block fading channels at finite blocklength"
    - "common message broadcast channels with feedback in the nonasymptotic regime full feedback"

Connected through hyperedge HE-2 (induced by source paper "finite blocklength analysis of energy harvesting channels"):
  with members:
    - "non asymptotic achievable rates for energy harvesting channels using save and transmit"
    - "channels with cost constraints strong converse and dispersion"
    - "a tight upper bound for the third order asymptotics for most discrete memoryless channels"
    - "moderate deviations in channel coding"
    - "on the monotonicity log concavity and tight bounds of the generalized marcum and nuttall q functions"
    - "information spectrum approach to second order coding rate in channel coding"

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)