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 "optimal polynomial time compression for boolean max csp"):
  Abstract: In the Boolean maximum constraint satisfaction problem - Max CSP$(\Gamma)$ - one is given a collection of weighted applications of constraints from a finite constraint language $\Gamma$, over a common set of variables, and the goal is to assign Boolean values to the variables so that the total weight of satisfied constraints is maximized. There exists an elegant dichotomy theorem providing a criterion on $\Gamma$ for the problem to be polynomial-time solvable and stating that otherwise it becomes NP-hard. We study the NP hard cases through the lens of kernelization and provide a complete characterization of Max CSP$(\Gamma)$ with respect to the optimal compression size. Namely, we prove that Max CSP$(\Gamma)$ parameterized by the number of variables $n$ is either polynomial-time solvable, or there exists an integer $d \ge 2$ depending on $\Gamma$, such that #R##N#1. An instance of \textsc{Max CSP$(\Gamma)$} can be compressed into an equivalent instance with $O(n^d\log n)$ bits in polynomial time, #R##N#2. Max CSP$(\Gamma)$ does not admit such a compression to $O(n^{d-\epsilon})$ bits unless $\text{NP} \subseteq \text{co-NP} / \text{poly}$. #R##N#Our reductions are based on interpreting constraints as multilinear polynomials combined with the framework of constraint implementations. As another application of our reductions, we reveal tight connections between optimal running times for solving Max CSP$(\Gamma)$. More precisely, we show that obtaining a running time of the form $O(2^{(1-\epsilon)n})$ for particular classes of Max CSPs is as hard as breaching this barrier for Max $d$-SAT for some $d$.

Includes members:
  Member "a dichotomy theorem for nonuniform csps":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "when symmetries are not enough a hierarchy of hard constraint satisfaction problems")
  Member "kernelization of constraint satisfaction problems a study through universal algebra":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "which np hard sat and csp problems admit exponentially improved algorithms")
  Member "the proof of csp dichotomy conjecture":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "topology is relevant in a dichotomy conjecture for infinite domain constraint satisfaction problems")
  Member "tight hardness for shortest cycles and paths in sparse graphs":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "new algorithms and hardness for incremental single source shortest paths in directed graphs")
  Member "sparsification upper and lower bounds for graph problems and not all equal sat":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "parameterized pre coloring extension and list coloring problems")
  Member "complexity of counting csp with complex weights":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "approximate counting csp seen from the other side")
  Member "preprocessing of min ones problems a dichotomy":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "kernelization of constraint satisfaction problems a study through universal algebra")
  Member "the approximability of max csp with fixed value constraints":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "the complexity of finite valued csps")

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)