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: "an automatic speedup theorem for distributed problems"
  Abstract: Recently, Brandt et al. [STOC'16] proved a lower bound for the distributed Lovasz Local Lemma, which has been conjectured to be tight for sufficiently relaxed LLL criteria by Chang and Pettie [FOCS'17]. At the heart of their result lies a speedup technique that, for graphs of girth at least $2t+2$, transforms any $t$-round algorithm for one specific LLL problem into a $(t-1)$-round algorithm for the same problem. We substantially improve on this technique by showing that such a speedup exists for any locally checkable problem $\Pi$, with the difference that the problem $\Pi_1$ the inferred $(t-1)$-round algorithm solves is not (necessarily) the same problem as $\Pi$. Our speedup is automatic in the sense that there is a fixed procedure that transforms a description for $\Pi$ into a description for $\Pi_1$ and reversible in the sense that any $(t-1)$-round algorithm for $\Pi_1$ can be transformed into a $t$-round algorithm for $\Pi$. In particular, for any locally checkable problem $\Pi$ with exact deterministic time complexity $T(n, \Delta) \leq t$ on graphs with $n$ nodes, maximum node degree $\Delta$, and girth at least $2t+2$, there is a sequence of problems $\Pi_1, \Pi_2, \dots$ with time complexities $T(n, \Delta)-1, T(n, \Delta)-2, \dots$, that can be inferred from $\Pi$. #R##N#As a first application of our generalized speedup, we solve a long-standing open problem of Naor and Stockmeyer [STOC'93]: we show that weak $2$-coloring in odd-degree graphs cannot be solved in $o(\log^* \Delta)$ rounds, thereby providing a matching lower bound to their upper bound.

Connected through hyperedge HE-1 (induced by source paper "truly tight in delta bounds for bipartite maximal matching and variants"):
  with members:
    - "classification of distributed binary labeling problems"
    - "lower bounds for maximal matchings and maximal independent sets"
    - "locality of not so weak coloring"
    - "hardness of minimal symmetry breaking in distributed computing"
    - "the complexity of distributed edge coloring with small palettes"
    - "improved deterministic distributed matching via rounding"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "distributed maximal matching greedy is optimal"

Connected through hyperedge HE-2 (induced by source paper "the topology of local computing in networks"):
  with members:
    - "a topological perspective on distributed network algorithms"
    - "lower bounds for maximal matchings and maximal independent sets"

Connected through hyperedge HE-3 (induced by source paper "seeing far vs seeing wide volume complexity of local graph problems"):
  with members:
    - "polylogarithmic time deterministic network decomposition and distributed derandomization"
    - "how much does randomness help with locally checkable problems"
    - "locality of not so weak coloring"
    - "almost global problems in the local model"
    - "the distributed complexity of locally checkable problems on paths is decidable"
    - "sparsifying distributed algorithms with ramifications in massively parallel computation and centralized local computation"
    - "hardness of minimal symmetry breaking in distributed computing"
    - "the complexity of distributed edge coloring with small palettes"

Connected through hyperedge HE-4 (induced by source paper "classification of distributed binary labeling problems"):
  with members:
    - "seeing far vs seeing wide volume complexity of local graph problems"
    - "polylogarithmic time deterministic network decomposition and distributed derandomization"
    - "lower bounds for maximal matchings and maximal independent sets"
    - "how much does randomness help with locally checkable problems"
    - "almost global problems in the local model"
    - "the distributed complexity of locally checkable problems on paths is decidable"
    - "hardness of minimal symmetry breaking in distributed computing"
    - "the complexity of distributed edge coloring with small palettes"

Connected through hyperedge HE-5 (induced by source paper "lower bounds for maximal matchings and maximal independent sets"):
  with members:
    - "hardness of minimal symmetry breaking in distributed computing"
    - "the complexity of distributed edge coloring with small palettes"
    - "improved deterministic distributed matching via rounding"
    - "an exponential separation between randomized and deterministic complexity in the local model"
    - "local conflict coloring"
    - "an improved distributed algorithm for maximal independent set"
    - "a lower bound for the distributed lov asz local lemma"
    - "linear in delta lower bounds in the local model"

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.DC(Distributed, Parallel, and Cluster Computing)