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 "on the sensitivity conjecture for disjunctive normal forms"):
  Abstract: The sensitivity conjecture of Nisan and Szegedy [CC '94] asks whether for any Boolean function $f$, the maximum sensitivity $s(f)$, is polynomially related to its block sensitivity $bs(f)$, and hence to other major complexity measures. Despite major advances in the analysis of Boolean functions over the last decade, the problem remains widely open. #R##N#In this paper, we consider a restriction on the class of Boolean functions through a model of computation (DNF), and refer to the functions adhering to this restriction as admitting the Normalized Block property. We prove that for any function $f$ admitting the Normalized Block property, $bs(f) \leq 4s(f)^2$. We note that (almost) all the functions mentioned in literature that achieve a quadratic separation between sensitivity and block sensitivity admit the Normalized Block property. #R##N#Recently, Gopalan et al. [ITCS '16] showed that every Boolean function $f$ is uniquely specified by its values on a Hamming ball of radius at most $2s(f)$. We extend this result and also construct examples of Boolean functions which provide the matching lower bounds.

Includes members:
  Member "smooth boolean functions are easy efficient algorithms for low sensitivity functions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "theoretical limitations of self attention in neural sequence models")
  Member "tighter relations between sensitivity and other complexity measures":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "sensitivity conjecture and log rank conjecture for functions with small alternating numbers")
  Member "composition limits and separating examples for some boolean function complexity measures":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "a tight composition theorem for the randomized query complexity of partial functions")
  Member "new separation between s f and bs f":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "sensitivity conjecture and log rank conjecture for functions with small alternating numbers")
  Member "variations on the sensitivity conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "alternation sparsity and sensitivity bounds and exponential gaps")
  Member "on the sensitivity of cyclically invariant boolean functions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "alternation sparsity and sensitivity bounds and exponential gaps")

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.CC(Computational Complexity)