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 "positional encoding by robots with non rigid movements"):
  Abstract: Consider a set of autonomous computational entities, called \emph{robots}, operating inside a polygonal enclosure (possibly with holes), that have to perform some collaborative tasks. The boundary of the polygon obstructs both visibility and mobility of a robot. Since the polygon is initially unknown to the robots, the natural approach is to first explore and construct a map of the polygon. For this, the robots need an unlimited amount of persistent memory to store the snapshots taken from different points inside the polygon. However, it has been shown by Di Luna et al. [DISC 2017] that map construction can be done even by oblivious robots by employing a positional encoding strategy where a robot carefully positions itself inside the polygon to encode information in the binary representation of its distance from the closest polygon vertex. Of course, to execute this strategy, it is crucial for the robots to make accurate movements. In this paper, we address the question whether this technique can be implemented even when the movements of the robots are unpredictable in the sense that the robot can be stopped by the adversary during its movement before reaching its destination. However, there exists a constant $\delta > 0$, unknown to the robot, such that the robot can always reach its destination if it has to move by no more than $\delta$ amount. This model is known in literature as \emph{non-rigid} movement. We give a partial answer to the question in the affirmative by presenting a map construction algorithm for robots with non-rigid movement, but having $O(1)$ bits of persistent memory and ability to make circular moves.

Includes members:
  Member "arbitrary pattern formation on infinite grid by asynchronous oblivious robots":
    also connected through other hyperedges:
      - Hyperedge HE-1 (induced by source paper "distributed pattern formation in a ring")
  Member "meeting in a polygon by anonymous oblivious robots":
    also connected through other hyperedges:
      - Hyperedge HE-2 (induced by source paper "oblivious permutations on the plane")
  Member "asynchronous arbitrary pattern formation the effects of a rigorous approach":
    also connected through other hyperedges:
      - Hyperedge HE-3 (induced by source paper "arbitrary pattern formation by asynchronous opaque robots with lights")
  Member "getting close without touching near gathering for autonomous mobile robots":
    also connected through other hyperedges:
      - Hyperedge HE-4 (induced by source paper "coding theory for noiseless channels realized by anonymous oblivious mobile robots")
  Member "perspective simple agents learn to find their way an introduction on mapping polygons":
    also connected through other hyperedges:
      - Hyperedge HE-5 (induced by source paper "self stabilizing meeting in a polygon by anonymous oblivious robots")
  Member "a distributed algorithm for gathering many fat mobile robots in the plane":
    also connected through other hyperedges:
      - Hyperedge HE-6 (induced by source paper "arbitrary pattern formation by asynchronous opaque robots with lights")
  Member "how to meet asynchronously almost everywhere":
    also connected through other hyperedges:
      - Hyperedge HE-7 (induced by source paper "want to gather no need to chatter")
  Member "asynchronous deterministic rendezvous in bounded terrains":
    also connected through other hyperedges:
      - Hyperedge HE-8 (induced by source paper "multi robot symmetric rendezvous search on the line with an unknown initial distance")

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.DC(Distributed, Parallel, and Cluster Computing)