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: "polar codes with a stepped boundary"
  Abstract: We consider explicit polar constructions of blocklength $n\rightarrow\infty$ for the two extreme cases of code rates $R\rightarrow1$ and $R\rightarrow0.$ For code rates $R\rightarrow1,$ we design codes with complexity order of $n\log n$ in code construction, encoding, and decoding. These codes achieve the vanishing output bit error rates on the binary symmetric channels with any transition error probability $p\rightarrow 0$ and perform this task with a substantially smaller redundancy $(1-R)n$ than do other known high-rate codes, such as BCH codes or Reed-Muller (RM). We then extend our design to the low-rate codes that achieve the vanishing output error rates with the same complexity order of $n\log n$ and an asymptotically optimal code rate $R\rightarrow0$ for the case of $p\rightarrow1/2.$

Connected through hyperedge HE-1 (induced by source paper "channel coding at low capacity"):
  with members:
    - "recursive list decoding for reed muller codes"
    - "beta beta bounds finite blocklength analog of the golden formula"
    - "relaxed polar codes"
    - "achieving the uniform rate region of general multiple access channels by polar coding"
    - "coding in the finite blocklength regime bounds based on laplace integrals and their asymptotic approximations"
    - "polar codes for broadcast channels"
    - "asymptotic estimates in information theory with non vanishing error probabilities"
    - "the third order term in the normal approximation for the awgn channel"

Connected through hyperedge HE-2 (induced by source paper "fast polarization for processes with memory"):
  with members:
    - "a simple proof of fast polarization"
    - "polar coding for processes with memory"
    - "joint successive cancellation decoding of polar codes over intersymbol interference channels"
    - "achieving the secrecy capacity of wiretap channels using polar codes"
    - "polar codes are optimal for lossy source coding"
    - "polarization for arbitrary discrete memoryless channels"
    - "on the rate of channel polarization"

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)