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 "instruction sequence processing operators"):
  Abstract: Instruction sequence is a key concept in practice, but it has as yet not come prominently into the picture in theoretical circles. This paper concerns instruction sequences, the behaviours produced by them under execution, the interaction between these behaviours and components of the execution environment, and two issues relating to computability theory. Positioning Turing’s result regarding the undecidability of the halting problem as a result about programs rather than machines, and taking instruction sequences as programs, we analyse the autosolvability requirement that a program of a certain kind must solve the halting problem for all programs of that kind. We present novel results concerning this autosolvability requirement. The analysis is streamlined by using the notion of a functional unit, which is an abstract state-based model of a machine. In the case where the behaviours exhibited by a component of an execution environment can be viewed as the behaviours of a machine in its different states, the behaviours concerned are completely determined by a functional unit. The above-mentioned analysis involves functional units whose possible states represent the possible contents of the tapes of Turing machines with a particular tape alphabet. We also investigate functional units whose possible states are the natural numbers. This investigation yields a novel computability result, viz. the existence of a universal computable functional unit for natural numbers.

Includes members:
  Member "on the expressiveness of single pass instruction sequences":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "quantitative expressiveness of instruction sequence classes for computation on single bit registers")
  Member "indirect jumps improve instruction sequence performance":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "quantitative expressiveness of instruction sequence classes for computation on single bit registers")
  Member "on the behaviours produced by instruction sequences under execution":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "axioms for behavioural congruence of single pass instruction sequences")
  Member "on the operating unit size of load store architectures":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "on the behaviours produced by instruction sequences under execution")
  Member "a thread calculus with molecular dynamics":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "personal multi threading")
  Member "functional units for natural numbers":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "from functions to object orientation by abstraction")
  Member "an instruction sequence semigroup with involutive anti automorphisms":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "instruction sequence based non uniform complexity classes")
  Member "autosolvability of halting problem instances for instruction sequences":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "bitcoin a money like informational commodity")

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.LO(Logic in Computer Science)