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: "fixed point theorems on partial randomness"
  Abstract: In our former work [K. Tadaki, Local Proceedings of CiE 2008, pp.425-434, 2008], we developed a statistical mechanical interpretation of algorithmic information theory by introducing the notion of thermodynamic quantities at temperature T, such as free energy F(T), energy E(T), and statistical mechanical entropy S(T), into the theory. These quantities are real functions of real argument T>0. We then discovered that, in the interpretation, the temperature T equals to the partial randomness of the values of all these thermodynamic quantities, where the notion of partial randomness is a stronger representation of the compression rate by program-size complexity. Furthermore, we showed that this situation holds for the temperature itself as a thermodynamic quantity. Namely, the computability of the value of partition function Z(T) gives a sufficient condition for T in (0,1) to be a fixed point on partial randomness. In this paper, we show that the computability of each of all the thermodynamic quantities above gives the sufficient condition also. Moreover, we show that the computability of F(T) gives completely different fixed points from the computability of Z(T).

Connected through hyperedge HE-1 (induced by source paper "a statistical mechanical interpretation of algorithmic information theory"):
  with members:
    - "a statistical mechanical interpretation of algorithmic information theory iii composite systems and fixed points"
    - "the tsallis entropy and the shannon entropy of a universal probability"
    - "a statistical mechanical interpretation of instantaneous codes"
    - "natural halting probabilities partial randomness and zeta functions"

Connected through hyperedge HE-2 (induced by source paper "phase transition and strong predictability"):
  with members:
    - "a statistical mechanical interpretation of algorithmic information theory"
    - "a statistical mechanical interpretation of algorithmic information theory iii composite systems and fixed points"
    - "a statistical mechanical interpretation of instantaneous codes"
    - "natural halting probabilities partial randomness and zeta functions"

Connected through hyperedge HE-3 (induced by source paper "a statistical mechanical interpretation of algorithmic information theory iii composite systems and fixed points"):
  with members:
    - "a statistical mechanical interpretation of algorithmic information theory"
    - "a statistical mechanical interpretation of instantaneous codes"
    - "natural halting probabilities partial randomness and zeta functions"

Connected through hyperedge HE-4 (induced by source paper "partial randomness and dimension of recursively enumerable reals"):
  with members:
    - "a statistical mechanical interpretation of algorithmic information theory"
    - "natural halting probabilities partial randomness and zeta functions"

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)