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 "analysis of coupled scalar systems by displacement convexity"):
  Abstract: Potential functionals have been introduced recently as an important tool for the analysis of coupled scalar systems (e.g. density evolution equations). In this contribution, we investigate interesting properties of this potential. Using the tool of displacement convexity, we show that, under mild assumptions on the system, the potential functional is displacement convex. Furthermore, we give the conditions on the system such that the potential is strictly displacement convex, in which case the minimizer is unique.

Includes members:
  Member "displacement convexity a useful framework for the study of spatially coupled codes":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "the velocity of the propagating wave for spatially coupled systems with applications to ldpc codes")
  Member "a proof of threshold saturation for spatially coupled ldpc codes on bms channels":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "threshold saturation for nonbinary sc ldpc codes on the binary erasure channel")
  Member "a simple proof of threshold saturation for coupled scalar recursions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "peeling close to the orientability threshold spatial coupling in hashing based data structures")
  Member "chains of mean field models":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "universal sparse superposition codes with spatial coupling and gamp decoding")
  Member "wave like solutions of general one dimensional spatially coupled systems":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "the velocity of the propagating wave for spatially coupled systems with applications to ldpc codes")
  Member "information theoretically optimal compressed sensing via spatial coupling and approximate message passing":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "capacity achieving spatially coupled sparse superposition codes with amp decoding")
  Member "coupled graphical models and their thresholds":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "rank one matrix estimation analysis of algorithmic and information theoretic limits by the spatial coupling method")

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)