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 "iterative list decoding of gabidulin codes via gr obner based interpolation"):
  Abstract: We show how Gabidulin codes can be list decoded by using an iterative parametrization approach. For a given received word, our decoding algorithm processes its entries one by one, constructing four polynomials at each step. This then yields a parametrization of interpolating solutions for the data so far. From the final result a list of all codewords that are closest to the received word with respect to the rank metric is obtained.

Includes members:
  Member "list decoding gabidulin codes via interpolation and the euclidean algorithm":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "gabidulin decoding via minimal bases of linearized polynomial modules")
  Member "error resilience in distributed storage via rank metric codes":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "equivalence and characterizations of linear rank metric codes based on invariants")
  Member "general linearized polynomial interpolation and its applications":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "list and probabilistic unique decoding of folded subspace codes")
  Member "a parametric approach to list decoding of reed solomon codes using interpolation":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "list decoding algorithm based on voting in grobner bases for general one point ag codes")
  Member "fast encoding and decoding of gabidulin codes":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "decoding high order interleaved rank metric codes")
  Member "on metrics for error correction in network coding":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "point line incidence on grassmannians and majority logic decoding of grassmann codes")
  Member "a rank metric approach to error control in random network coding":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "roos bound for skew cyclic codes in hamming and rank metric")
  Member "coding for errors and erasures in random network coding":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "on the gap between scalar and vector solutions of generalized combination networks")

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)