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: "calculating kolmogorov complexity from the output frequency distributions of small turing machines"
  Abstract: Drawing on various notions from theoretical computer science, we present a novel numerical approach, motivated by the notion of algorithmic probability, to the problem of approximating the Kolmogorov-Chaitin complexity of short strings. The method is an alternative to the traditional lossless compression algorithms, which it may complement, the two being serviceable for different string lengths. We provide a thorough analysis for all $\sum_{n=1}^{11} 2^n$ binary strings of length $n<12$ and for most strings of length $12\leq n \leq16$ by running all $\sim 2.5 \times 10^{13}$ Turing machines with 5 states and 2 symbols ($8\times 22^9$ with reduction techniques) using the most standard formalism of Turing machines, used in for example the Busy Beaver problem. We address the question of stability and error estimation, the sensitivity of the continued application of the method for wider coverage and better accuracy, and provide statistical evidence suggesting robustness. As with compression algorithms, this work promises to deliver a range of applications, and to provide insight into the question of complexity calculation of finite (and short) strings.

Connected through hyperedge HE-1 (induced by source paper "how incomputable is kolmogorov complexity"):
  with members:
    - "busy beaver machines and the observant otter heuristic or how to tame dreadful dragons"
    - "a computable measure of algorithmic probability by finite approximations"
    - "a computable measure of algorithmic probability by finite approximations with an application to integer sequences"
    - "short lists with short programs in short time"
    - "short lists with short programs in short time a short proof"
    - "complexity of complexity and strings with maximal plain and prefix kolmogorov complexity"

Connected through hyperedge HE-2 (induced by source paper "algorithmic networks central time to trigger expected emergent open endedness"):
  with members:
    - "self referential basis of undecidable dynamics from the liar paradox and the halting problem to the edge of chaos"
    - "algorithmically probable mutations reproduce aspects of evolution such as convergence rate genetic memory and modularity"
    - "quantifying synergistic information using intermediate stochastic variables"
    - "the paradox of computability and a recursive relative version of the busy beaver function"
    - "computing halting probabilities from other halting probabilities"
    - "undecidability and irreducibility conditions for open ended evolution and emergence"
    - "relativizing an incompressible number and an incompressible function through subrecursive extensions of turing machines"
    - "on multiaspect graphs"

Connected through hyperedge HE-3 (induced by source paper "algorithmic probability guided supervised machine learning on non differentiable spaces"):
  with members:
    - "one pixel attack for fooling deep neural networks"
    - "compression is comprehension and the unreasonable effectiveness of digital computation in the natural world"
    - "coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability"
    - "algorithmically probable mutations reproduce aspects of evolution such as convergence rate genetic memory and modularity"
    - "a decomposition method for global evaluation of shannon entropy and local estimations of algorithmic complexity"
    - "adam a method for stochastic optimization"
    - "on the algorithmic nature of the world"

Connected through hyperedge HE-4 (induced by source paper "the thermodynamics of network coding and an algorithmic refinement of the principle of maximum entropy"):
  with members:
    - "coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability"
    - "low algorithmic complexity entropy deceiving graphs"
    - "a computable measure of algorithmic probability by finite approximations with an application to integer sequences"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "shannon information and kolmogorov complexity"

Connected through hyperedge HE-5 (induced by source paper "algorithmically random generalized graphs and their topological properties"):
  with members:
    - "low algorithmic complexity entropy deceiving graphs"
    - "the paradox of computability and a recursive relative version of the busy beaver function"
    - "time centrality in dynamic complex networks"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"

Connected through hyperedge HE-6 (induced by source paper "symmetry and algorithmic complexity of polyominoes and polyhedral graphs"):
  with members:
    - "low algorithmic complexity entropy deceiving graphs"
    - "a decomposition method for global evaluation of shannon entropy and local estimations of algorithmic complexity"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "structure induction by lossless graph compression"

Connected through hyperedge HE-7 (induced by source paper "paths to unconventional computing causality in complexity"):
  with members:
    - "algorithmic data analytics small data matters and correlation versus causation"
    - "asymptotic intrinsic universality and natural reprogrammability by behavioural emulation"
    - "causality information and biological computation an algorithmic software approach to life disease and the immune system"
    - "cross boundary behavioural reprogrammability of cellular automata from emulation networks"
    - "natural scene statistics mediate the perception of image complexity"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "what is nature like computation a behavioural approach and a notion of programmability"
    - "a behavioural foundation for natural computing and a programmability test"

Connected through hyperedge HE-8 (induced by source paper "algorithmically probable mutations reproduce aspects of evolution such as convergence rate genetic memory and modularity"):
  with members:
    - "coding theorem like behaviour and emergence of the universal distribution from resource bounded algorithmic probability"
    - "low algorithmic complexity entropy deceiving graphs"
    - "undecidability and irreducibility conditions for open ended evolution and emergence"
    - "a decomposition method for global evaluation of shannon entropy and local estimations of algorithmic complexity"
    - "the limits of decidable states on open ended evolution and emergence"
    - "a computable measure of algorithmic probability by finite approximations with an application to integer sequences"
    - "correlation of automorphism group size and topological properties with program size complexity evaluations of graphs and complex networks"
    - "two dimensional kolmogorov complexity and validation of the coding theorem method by compressibility"

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.IT(Information Theory)