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: "wasabi a framework for dynamically analyzing webassembly"
  Abstract: WebAssembly is the new low-level language for the web and has now been implemented in all major browsers since over a year. To ensure the security, performance, and correctness of future web applications, there is a strong need for dynamic analysis tools for WebAssembly. Unfortunately, building such tools from scratch requires knowledge of low-level details of the language, and perhaps even its runtime environment. This paper presents Wasabi, the first general-purpose framework for dynamically analyzing WebAssembly. Wasabi provides an easy-to-use, high-level API that allows implementing heavyweight dynamic analyses that can monitor all low-level behavior. The approach is based on binary instrumentation, which inserts calls to analysis functions written in JavaScript into a WebAssembly binary. Wasabi addresses several unique challenges not present for other binary instrumentation tools, such as the problem of tracing type-polymorphic instructions with analysis functions that have a fixed type, which we address through an on-demand monomorphization of analysis calls. To control the overhead imposed by an analysis, Wasabi selectively instruments only those instructions relevant for the analysis. Our evaluation on compute-intensive benchmarks and real-world applications shows that Wasabi (i) faithfully preserves the original program behavior, (ii) imposes an overhead that is reasonable for heavyweight dynamic analysis (depending on the program and the analyzed instructions, between 1.02x and 163x), and (iii) makes it straightforward to implement various dynamic analyses, including instruction counting, call graph extraction, memory access tracing, and taint analysis.

Connected through hyperedge HE-1 (induced by source paper "security analysis of eosio smart contracts"):
  with members:
    - "characterizing eosio blockchain"
    - "easyflow keep ethereum away from overflow"
    - "memory safety preservation for webassembly"
    - "characterizing code clones in the ethereum smart contract ecosystem"
    - "a security case study for blockchain games"
    - "contractfuzzer fuzzing smart contracts for vulnerability detection"
    - "taintassembly taint based information flow control tracking for webassembly"
    - "taint tracking for webassembly"

Connected through hyperedge HE-2 (induced by source paper "a program logic for first order encapsulated webassembly"):
  with members:
    - "taintassembly taint based information flow control tracking for webassembly"
    - "relational parametricity and separation logic"

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)