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 "an upper bound of singleton type for componentwise products of linear codes"):
  Abstract: We give an upper bound that relates the dimensions of some given number of linear codes, with the minimum distance of their componentwise product. A typical result is as follows: given t linear codes Ci of parameters [n,ki]q with full support, one can find codewords ci ∈ Ci such that 1 ≤ w(c1*⋯*ct) ≤ max(t-1, n+t-(k1+⋯+kt)).

Includes members:
  Member "on products and powers of linear codes under componentwise multiplication":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "squares of matrix product codes")
  Member "asymptotically good binary linear codes with asymptotically good self intersection spans":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "squares of matrix product codes")
  Member "bilinear complexity of algebras and the chudnovsky chudnovsky interpolation method":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "the quadratic hull of a code and the geometric view on multiplication algorithms")

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)