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: "scaling exponent of list decoders with applications to polar codes"
  Abstract: Motivated by the significant performance gains which polar codes experience under successive cancellation list decoding, their scaling exponent is studied as a function of the list size. In particular, the error probability is fixed and the trade-off between block length and back-off from capacity is analyzed. A lower bound is provided on the error probability under $\rm MAP$ decoding with list size $L$ for any binary-input memoryless output-symmetric channel and for any class of linear codes such that their minimum distance is unbounded as the block length grows large. Then, it is shown that under $\rm MAP$ decoding, although the introduction of a list can significantly improve the involved constants, the scaling exponent itself, i.e., the speed at which capacity is approached, stays unaffected for any finite list size. In particular, this result applies to polar codes, since their minimum distance tends to infinity as the block length increases. A similar result is proved for genie-aided successive cancellation decoding when transmission takes place over the binary erasure channel, namely, the scaling exponent remains constant for any fixed number of helps from the genie. Note that since genie-aided successive cancellation decoding might be strictly worse than successive cancellation list decoding, the problem of establishing the scaling exponent of the latter remains open.

Connected through hyperedge HE-1 (induced by source paper "polar codes and their quantum domain counterparts"):
  with members:
    - "reinforcement learning for nested polar code construction"
    - "decoder tailored polar code design using the genetic algorithm"
    - "genetic algorithm based polar code construction for the awgn channel"
    - "improved bit flipping algorithm for successive cancellation decoding of polar codes"
    - "design of polar codes in 5g new radio"
    - "belief propagation decoding of polar codes on permuted factor graphs"
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "belief propagation list decoding of polar codes"

Connected through hyperedge HE-2 (induced by source paper "sublinear latency for simplified successive cancellation decoding of polar codes"):
  with members:
    - "log logarithmic time pruned polar coding"
    - "polar codes with exponentially small error at finite block length"
    - "polar code moderate deviation recovering the scaling exponent"
    - "partitioned list decoding of polar codes analysis and improvement of finite length performance"
    - "scaling exponent and moderate deviations asymptotics of polar codes for the awgn channel"
    - "fast and flexible successive cancellation list decoders for polar codes"
    - "binary linear codes with optimal scaling polar codes with large kernels"
    - "partitioned successive cancellation list decoding of polar codes"

Connected through hyperedge HE-3 (induced by source paper "design of polar codes in 5g new radio"):
  with members:
    - "on list decoding of 5g nr polar codes"
    - "parity check polar coding for 5g and beyond"
    - "design and implementation of a polar codes blind detection scheme"
    - "circular buffer rate matched polar codes"
    - "improved successive cancellation flip decoding of polar codes based on error distribution"
    - "partitioned list decoding of polar codes analysis and improvement of finite length performance"
    - "on the error probability of short concatenated polar and cyclic codes with interleaving"
    - "on puncturing strategies for polar codes"

Connected through hyperedge HE-4 (induced by source paper "polar like codes and asymptotic tradeoff among block length code rate and error probability"):
  with members:
    - "performance bounds of concatenated polar coding schemes"
    - "scaling exponent and moderate deviations asymptotics of polar codes for the awgn channel"
    - "relaxed polar codes"
    - "minimum distance based construction of multi kernel polar codes"
    - "multi kernel polar codes proof of polarization and error exponents"
    - "a note on some inequalities used in channel polarization and polar coding"
    - "near optimal finite length scaling for polar codes over large alphabets"
    - "multi kernel construction of polar codes"

Connected through hyperedge HE-5 (induced by source paper "polar code moderate deviation recovering the scaling exponent"):
  with members:
    - "general strong polarization"
    - "near optimal finite length scaling for polar codes over large alphabets"
    - "finite length scaling for polar codes"
    - "polar codes speed of polarization and polynomial gap to capacity"
    - "improved bounds on the finite length scaling of polar codes"
    - "on the correlation between polarized becs"
    - "rate dependent analysis of the asymptotic behavior of channel polarization"
    - "polar codes characterization of exponent bounds and constructions"

Connected through hyperedge HE-6 (induced by source paper "efficient decoding of polar codes with some 16 16 kernels"):
  with members:
    - "a randomized construction of polar subcodes"
    - "binary linear codes with optimal scaling polar codes with large kernels"
    - "binary linear codes with optimal scaling and quasi linear complexity"
    - "binary polarization kernels from code decompositions"
    - "list decoding of polar codes"
    - "polar codes characterization of exponent bounds and constructions"

Connected through hyperedge HE-7 (induced by source paper "binary linear codes with optimal scaling polar codes with large kernels"):
  with members:
    - "achieving the uniform rate region of general multiple access channels by polar coding"
    - "near optimal finite length scaling for polar codes over large alphabets"
    - "construction of polar codes with sublinear complexity"
    - "finite length scaling for polar codes"
    - "performance limits and practical decoding of interleaved reed solomon polar concatenated codes"
    - "polar codes speed of polarization and polynomial gap to capacity"
    - "rate dependent analysis of the asymptotic behavior of channel polarization"
    - "spatially coupled ensembles universally achieve capacity under belief propagation"

Connected through hyperedge HE-8 (induced by source paper "dynamic scflip decoding of polar codes"):
  with members:
    - "an improved scflip decoder for polar codes"
    - "llr based successive cancellation list decoding of polar codes"
    - "low latency list decoding of polar codes with double thresholding"
    - "a low complexity improved successive cancellation decoder for polar codes"
    - "list decoding of polar codes"
    - "polar codes with mixed kernels"
    - "performance and construction of polar codes on symmetric binary input memoryless channels"
    - "channel polarization a method for constructing capacity achieving codes for symmetric binary input memoryless channels"

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)