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: "long multiplication by instruction sequences with backward jump instructions"
  Abstract: For each function on bit strings, its restriction to bit strings of any given length can be computed by a finite instruction sequence that contains only instructions to set and get the content of Boolean registers, forward jump instructions, and a termination instruction. Backward jump instructions are not necessary for this, but instruction sequences can be significantly shorter with them. We take the function on bit strings that models the multiplication of natural numbers on their representation in the binary number system to demonstrate this by means of a concrete example. The example is reason to discuss points concerning the halting problem and the concept of an algorithm.

Connected through hyperedge HE-1 (induced by source paper "instruction sequences expressing multiplication algorithms"):
  with members:
    - "instruction sequence size complexity of parity"
    - "on algorithmic equivalence of instruction sequences for computing bit string functions"
    - "instruction sequence based non uniform complexity classes"
    - "instruction sequence expressions for the karatsuba multiplication algorithm"
    - "instruction sequence expressions for the secure hash algorithm sha 256"
    - "instruction sequence processing operators"
    - "on the expressiveness of single pass instruction sequences"
    - "indirect jumps improve instruction sequence performance"

Connected through hyperedge HE-2 (induced by source paper "instruction sequence size complexity of parity"):
  with members:
    - "on instruction sets for boolean registers in program algebra"
    - "on algorithmic equivalence of instruction sequences for computing bit string functions"
    - "instruction sequence based non uniform complexity classes"

Connected through hyperedge HE-3 (induced by source paper "on algorithmic equivalence of instruction sequences for computing bit string functions"):
  with members:
    - "instruction sequences expressing multiplication algorithms"
    - "instruction sequence based non uniform complexity classes"
    - "instruction sequence expressions for the karatsuba multiplication algorithm"
    - "instruction sequence expressions for the secure hash algorithm sha 256"
    - "instruction sequence processing operators"
    - "program algebra with a jump shift instruction"
    - "when are two algorithms the same"

Connected through hyperedge HE-4 (induced by source paper "questions related to bitcoin and other informational money"):
  with members:
    - "the false premises and promises of bitcoin"
    - "the unreasonable fundamental incertitudes behind bitcoin mining"
    - "bitcoin and beyond exclusively informational money"
    - "decision taking for selling thread startup"
    - "informaticology combining computer science data science and fiction science"
    - "on bitcoin and red balloons"
    - "machine structure oriented control code logic"
    - "a static theory of promises"

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)