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: "computational approaches for stochastic shortest path on succinct mdps"
  Abstract: We consider the stochastic shortest path (SSP) problem for succinct Markov decision processes (MDPs), where the MDP consists of a set of variables, and a set of nondeterministic rules that update the variables. First, we show that several examples from the AI literature can be modeled as succinct MDPs. Then we present computational approaches for upper and lower bounds for the SSP problem: (a)~for computing upper bounds, our method is polynomial-time in the implicit description of the MDP; (b)~for lower bounds, we present a polynomial-time (in the size of the implicit description) reduction to quadratic programming. Our approach is applicable even to infinite-state MDPs. Finally, we present experimental results to demonstrate the effectiveness of our approach on several classical examples from the AI literature.

Connected through hyperedge HE-1 (induced by source paper "cost analysis of nondeterministic probabilistic programs"):
  with members:
    - "effective divergence analysis for linear recurrence sequences"
    - "ergodic mean payoff games for the analysis of attacks in crypto currencies"
    - "automated recurrence analysis for almost linear expected runtime bounds"
    - "bounded expectations resource analysis for probabilistic programs"
    - "termination of nondeterministic recursive probabilistic programs"
    - "a new proof rule for almost sure termination"
    - "lexicographic ranking supermartingales an efficient approach to termination of probabilistic programs"
    - "non polynomial worst case analysis of recursive programs"

Connected through hyperedge HE-2 (induced by source paper "modular verification for almost sure termination of probabilistic programs"):
  with members:
    - "cost analysis of nondeterministic probabilistic programs"
    - "quantitative separation logic a logic for reasoning about probabilistic pointer programs"
    - "new approaches for almost sure termination of probabilistic programs"
    - "bounded expectations resource analysis for probabilistic programs"
    - "termination of nondeterministic recursive probabilistic programs"
    - "a new proof rule for almost sure termination"
    - "lexicographic ranking supermartingales an efficient approach to termination of probabilistic programs"
    - "cantor meets scott semantic foundations for probabilistic networks"

Connected through hyperedge HE-3 (induced by source paper "proving expected sensitivity of probabilistic programs with randomized variable dependent termination time"):
  with members:
    - "kantorovich continuity of probabilistic programs"
    - "new approaches for almost sure termination of probabilistic programs"
    - "bounded expectations resource analysis for probabilistic programs"
    - "proving expected sensitivity of probabilistic programs"
    - "finding polynomial loop invariants for probabilistic programs"
    - "a new proof rule for almost sure termination"
    - "a semantic account of metric preservation"
    - "lexicographic ranking supermartingales an efficient approach to termination of probabilistic programs"

Connected through hyperedge HE-4 (induced by source paper "proving expected sensitivity of probabilistic programs with randomized execution time"):
  with members:
    - "kantorovich continuity of probabilistic programs"
    - "bounded expectations resource analysis for probabilistic programs"
    - "proving expected sensitivity of probabilistic programs"
    - "a semantic account of metric preservation"
    - "coupling proofs are probabilistic product programs"
    - "termination analysis of probabilistic programs through positivstellensatz s"
    - "weakest precondition reasoning for expected run times of probabilistic programs"
    - "train faster generalize better stability of stochastic gradient descent"

Connected through hyperedge HE-5 (induced by source paper "probabilistic smart contracts secure randomness on the blockchain"):
  with members:
    - "quantitative analysis of smart contracts"
    - "when can a distributed ledger replace a trusted third party"
    - "securify practical security analysis of smart contracts"
    - "ergodic mean payoff games for the analysis of attacks in crypto currencies"
    - "cantor meets scott semantic foundations for probabilistic networks"
    - "termination analysis of probabilistic programs through positivstellensatz s"
    - "reasoning about recursive probabilistic programs"

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)