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 "low sensitivity functions from unambiguous certificates"):
  Abstract: We provide new query complexity separations against sensitivity for total Boolean functions: a power $3$ separation between deterministic (and even randomized or quantum) query complexity and sensitivity, and a power $2.22$ separation between certificate complexity and sensitivity. We get these separations by using a new connection between sensitivity and a seemingly unrelated measure called one-sided unambiguous certificate complexity ($UC_{min}$). We also show that $UC_{min}$ is lower-bounded by fractional block sensitivity, which means we cannot use these techniques to get a super-quadratic separation between $bs(f)$ and $s(f)$. We also provide a quadratic separation between the tree-sensitivity and decision tree complexity of Boolean functions, disproving a conjecture of Gopalan, Servedio, Tal, and Wigderson (CCC 2016). #R##N#Along the way, we give a power $1.22$ separation between certificate complexity and one-sided unambiguous certificate complexity, improving the power $1.128$ separation due to G\"o\"os (FOCS 2015). As a consequence, we obtain an improved $\Omega(\log^{1.22} n)$ lower-bound on the co-nondeterministic communication complexity of the Clique vs. Independent Set problem.

Includes members:
  Member "randomized query complexity of sabotaged and composed functions":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "a tight composition theorem for the randomized query complexity of partial functions")
  Member "nearly optimal separations between communication or query complexity and partitions":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "optimal separation and strong direct sum for randomized query complexity")
  Member "degree and sensitivity tails of two distributions":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "alternation sparsity and sensitivity bounds and exponential gaps")
  Member "separations in query complexity based on pointer functions":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "a tight composition theorem for the randomized query complexity of partial functions")
  Member "smooth boolean functions are easy efficient algorithms for low sensitivity functions":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "theoretical limitations of self attention in neural sequence models")
  Member "sensitivity versus certificate complexity of boolean functions":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "alternation sparsity and sensitivity bounds and exponential gaps")
  Member "size of sets with small sensitivity a generalization of simon s lemma":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "sensitivity conjecture and log rank conjecture for functions with small alternating numbers")
  Member "an o n 0 4732 upper bound on the complexity of the gks communication game":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "an improvement of the upper bound for gks communication game")

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)