human: Given a node-centered hypergraph: <hypergraph>, where nodes represent papers and hyperedges represent sets of papers co-cited by a source paper.

Details of the hypergraph:
Center node: "effect summaries for thread modular analysis"
  Abstract: We propose a novel guess-and-check principle to increase the efficiency of thread-modular verification of lock-free data structures. We build on a heuristic that guesses candidates for stateless effect summaries of programs by searching the code for instances of a copy-and-check programming idiom common in lock-free data structures. These candidate summaries are used to compute the interference among threads in linear time. Since a candidate summary need not be a sound effect summary, we show how to fully automatically check whether the precision of candidate summaries is sufficient. We can thus perform sound verification despite relying on an unsound heuristic. We have implemented our approach and found it up to two orders of magnitude faster than existing ones.

Connected through hyperedge HE-1 (induced by source paper "pointer life cycle types for lock free data structures with memory reclamation"):
  with members:
    - "hyaline fast and transparent lock free memory reclamation"
    - "decoupling lock free data structures from memory reclamation for static analysis"
    - "safe deferred memory reclamation with types"
    - "reasoning about tso programs using reduction and abstraction"
    - "reclaiming memory for lock free data structures there has to be a better way"
    - "proving linearizability using forward simulations"
    - "verifying concurrent stacks by divergence sensitive bisimulation"
    - "concurrent data structures linked in time"

Connected through hyperedge HE-2 (induced by source paper "decoupling lock free data structures from memory reclamation for static analysis"):
  with members:
    - "verification of tree based hierarchical read copy update in the linux kernel"
    - "reclaiming memory for lock free data structures there has to be a better way"
    - "proving linearizability using forward simulations"
    - "verifying concurrent stacks by divergence sensitive bisimulation"
    - "concurrent data structures linked in time"
    - "pointer race freedom"
    - "faster linearizability checking via p compositionality"
    - "verifying linearizability a comparative survey"

Connected through hyperedge HE-3 (induced by source paper "fine grained complexity of safety verification"):
  with members:
    - "slightly superexponential parameterized problems"
    - "on problems as hard as cnf sat"
    - "on parametrized verification of asynchronous shared memory pushdown systems"
    - "model checking parameterized asynchronous shared memory systems"
    - "parameterized verification of asynchronous shared memory systems"
    - "kernelization lower bounds by cross composition"
    - "context bounded analysis for concurrent programs with dynamic creation of threads"
    - "parameterised pushdown systems with non atomic writes"

Question: Please tell me which class the center node 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.PL(Programming Languages)