wanyu/IteraTeR_v2 huggingface dataset:
Original:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Revised:  Here we develop such a framework to study the evolution of cooperative behavior in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Edit intent: clarity
Original:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Revised:  Here we adopt the framework of game theory to study the evolution of sustained collective action in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Edit intent: clarity
Original:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Revised:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public-goods games, in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Edit intent: fluency
Original:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Revised:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public goods games in which players have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Edit intent: fluency
Original:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds in a repeated game, and are allowed to react to that experience in an arbitrary way.
Revised:  Here we adopt the framework of game theory to study the evolution of cooperative behavior in multi-player public goods games in which players are allowed to have arbitrarily long memories of prior rounds of play and can react to their experience in an arbitrary way.
Edit intent: clarity
Original:  We construct a coordinate system for memory-m strategies in iterated n-player games , which allows us to characterize all possible cooperative strategies that resist invasion by any mutant strategy, and thus stabilize cooperative behavior.
Revised:  We construct a coordinate system for memory-m strategies in iterated n-player games that permits us to characterize all possible cooperative strategies that resist invasion by any mutant strategy, and thus stabilize cooperative behavior.
Edit intent: coherence
Original:  We construct a coordinate system for memory-m strategies in iterated n-player games , which allows us to characterize all possible cooperative strategies that resist invasion by any mutant strategy, and thus stabilize cooperative behavior.
Revised:  We construct a coordinate system for memory-m strategies in iterated n-player games , which allows us to characterize all the cooperative strategies that resist invasion by any mutant strategy, and thus stabilize cooperative behavior.
Edit intent: clarity
Original:  We show that while larger games inevitably make cooperation harder to sustain, there always exist positive volumes of strategies that stabilize cooperation provided the total population is large enough.
Revised:  We show that while larger games inevitably make cooperation harder to evolve, there nevertheless always exists a positive volume of strategies that stabilize cooperation provided the total population is large enough.
Edit intent: clarity
Original:  We show that while larger games inevitably make cooperation harder to sustain, there always exist positive volumes of strategies that stabilize cooperation provided the total population is large enough.
Revised:  We show that while larger games inevitably make cooperation harder to sustain, there always exist positive volumes of strategies that stabilize cooperation provided the population size is large enough.
Edit intent: clarity
Original:  We also show that, when games are small, longer memory strategies make cooperation easier to evolve, by increasing the number of ways to stabilize cooperation.
Revised:  We also show that, when games are small, longer-memory strategies make cooperation easier to evolve, by increasing the number of ways to stabilize cooperation.
Edit intent: fluency
Original:  Finally we explore the co-evolution of memory capacity and behavior, and find that longer memory strategies tend to evolve in small games, which in turn drives the evolution of more cooperative behaviors even when the benefits for cooperation are low.
Revised:  Finally we explore the co-evolution of behavior and memory capacity, and we find that longer-memory strategies tend to evolve in small games, which in turn drives the evolution of more cooperative behaviors even when the benefits for cooperation are low.
Edit intent: clarity
Original:  Finally we explore the co-evolution of memory capacity and behavior, and find that longer memory strategies tend to evolve in small games, which in turn drives the evolution of more cooperative behaviors even when the benefits for cooperation are low.
Revised:  Finally we explore the co-evolution of memory capacity and behavior, and find that longer memory strategies tend to evolve in small games, which in turn drives the evolution of cooperation even when the benefits for cooperation are low.
Edit intent: clarity
Original: Standard population genetics models such as the Wright Fisher model assign relative fitness values to genotypes.
Revised: Standard population genetics models assign relative fitness values to genotypes.
Edit intent: clarity
Original:  Here , I present a corrected version, in which fitnesshas three incommensurable dimensions: r gives reproductive speed at low density and has time units, K gives resource use efficiency and has units of resource and population densities , and c gives competitive high density dominance , and is, like population genetic fitness w, always normalized and hence intrinsically unitless.
Revised:  Here , I present a corrected version, in which fitnesshas three incommensurable dimensions: r gives reproductive speed at low density and has time units, K ' gives the parsimoniousness of resource use and has units of resource and population densities , and c gives competitive high density dominance , and is, like population genetic fitness w, always normalized and hence intrinsically unitless.
Edit intent: clarity
Original:  Here , I present a corrected version, in which fitnesshas three incommensurable dimensions: r gives reproductive speed at low density and has time units, K gives resource use efficiency and has units of resource and population densities , and c gives competitive high density dominance , and is, like population genetic fitness w, always normalized and hence intrinsically unitless.
Revised:  Here , I present a corrected version, in which fitnesshas three incommensurable dimensions: r gives reproductive speed at low density and has time units, K gives resource use efficiency and has units of population density , and c gives competitive high density dominance , and is, like population genetic fitness w, always normalized and hence intrinsically unitless.
Edit intent: fluency
Original:  Here , I present a corrected version, in which fitnesshas three incommensurable dimensions: r gives reproductive speed at low density and has time units, K gives resource use efficiency and has units of resource and population densities , and c gives competitive high density dominance , and is, like population genetic fitness w, always normalized and hence intrinsically unitless.
Revised:  Here , I present a corrected version, in which fitnesshas three incommensurable dimensions: r gives reproductive speed at low density and has time units, K gives resource use efficiency and has units of resource and population densities , and c gives competitive dominance at high density , and is, like population genetic fitness w, always normalized and hence intrinsically unitless.
Edit intent: fluency
Original:   Applications to experimental evolution and other data are outlined . Connections to Grime's triangle of reproductive strategies and Tilman's resource ratio theory are described.
Revised:  Applications to experimental evolution and other data are outlined , including a connection to Grime's triangle of reproductive strategies and Tilman's resource ratio theory are described.
Edit intent: clarity
Original:  Meantime, ecological models describe absolute fitness traits such as resource uptake speed and resource use efficiency, while neglecting intrinsically relative fitness competitions such as territorial contests and mate choice.
Revised:  Meantime, ecological models describe absolute fitness traits such as resource uptake speed and efficiency, while neglecting intrinsically relative fitness competitions such as territorial contests and mate choice.
Edit intent: clarity
Original:  Meantime, ecological models describe absolute fitness traits such as resource uptake speed and resource use efficiency, while neglecting intrinsically relative fitness competitions such as territorial contests and mate choice.
Revised:  Meantime, ecological models describe absolute fitness traits such as resource uptake speed and resource use efficiency, while neglecting intrinsically relative aspects of competitions such as territorial contests and mate choice.
Edit intent: clarity
Original:  I begin by correcting a subscript flaw in MacArthur's r/K selection theory , and then introduce a third dimension c to capture relative competitiveness.
Revised:  I begin by rehabilitating MacArthur's r/K selection theory , and then introduce a third dimension c to capture relative competitiveness.
Edit intent: clarity
Original:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density  , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory  is shown to confound c and K'.
Revised:  r then gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory is shown to confound c and K'.
Edit intent: clarity
Original:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density  , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory  is shown to confound c and K'.
Revised:  In this model, r gives reproductive speed at low density and has time units , K' the parsimoniousness of resource use and has units of population density , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory is shown to confound c and K'.
Edit intent: clarity
Original:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density  , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory  is shown to confound c and K'.
Revised:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use ( units of population density , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory is shown to confound c and K'.
Edit intent: fluency
Original:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density  , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory  is shown to confound c and K'.
Revised:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density ) , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory is shown to confound c and K'.
Edit intent: fluency
Original:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density  , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory  is shown to confound c and K'.
Revised:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density , and c competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory is shown to confound c and K'.
Edit intent: fluency
Original:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density  , and c gives competitive dominance at high density , and is, like population genetic fitness w , always normalized and hence intrinsically unitless . MacArthur's original r/K selection theory  is shown to confound c and K'.
Revised:  In this model, r gives reproductive speed at low density and has time units , K' gives the parsimoniousness of resource use and has units of population density , and c gives competitive dominance at high density (normalized like w and hence unitless) . MacArthur's original r/K selection theory is shown to confound c and K'.
Edit intent: clarity
Original:  Applications to experimental evolution and other data are outlined, including a connection to Grime's triangle of reproductive strategies and  Nicholson's contest vs. scramble distinction.
Revised:  Applications to data are outlined, including a connection to Grime's triangle of reproductive strategies and Nicholson's contest vs. scramble distinction.
Edit intent: clarity
Original:  Applications to experimental evolution and other data are outlined, including a connection to Grime's triangle of reproductive strategies and  Nicholson's contest vs. scramble distinction.
Revised:  Applications to experimental evolution and other data are outlined, and connections are drawn to Grime's triangle of reproductive strategies and Nicholson's contest vs. scramble distinction.
Edit intent: clarity
Original:  Applications to experimental evolution and other data are outlined, including a connection to Grime's triangle of reproductive strategies and  Nicholson's contest vs. scramble distinction.
Revised:  Applications to experimental evolution and other data are outlined, including a connection to Grime's triangle of reproductive strategies and to Nicholson's contest vs. scramble distinction.
Edit intent: fluency
Original:  Extensions to larger numbers of dimensions, including  the explicit tracking of consumable resources, are described  .
Revised:  Extensions to larger numbers of dimensions, including via the explicit tracking of consumable resources, are described .
Edit intent: clarity
Original:  A third dimension c , inspired by population genetics w, is added to describe relative competitiveness. r then gives reproductive speed at low density (time units), K' the parsimoniousness of resource use (units of population density), and c competitive dominance at high density (normalizedlike w and hence unitless) .
Revised:  A third dimension c of fitness is then added to this novel system, one which is unitless and normalized, and hence capable of capturing the population genetics concept w of a strictly relative, genetically-limited competitive race .
Edit intent: clarity
Original:  MacArthur's original  r/ K selection theory , with its subscript flaw, is shown to confound c and K '. Applications to data are outlined, and connections are drawn to Grime's triangle of reproductive strategies and to Nicholson's contest vs. scramble distinction.
Revised:  MacArthur's original version of r/ K selection theory , with its subscript flaw, is shown to confound c and K '. Applications to data are outlined, and connections are drawn to Grime's triangle of reproductive strategies and to Nicholson's contest vs. scramble distinction.
Edit intent: clarity
Original:  MacArthur's original  r/ K selection theory , with its subscript flaw, is shown to confound c and K '. Applications to data are outlined, and connections are drawn to Grime's triangle of reproductive strategies and to Nicholson's contest vs. scramble distinction.
Revised:  MacArthur's original r/ K-selection theory is shown to confound c and K '. Applications to data are outlined, and connections are drawn to Grime's triangle of reproductive strategies and to Nicholson's contest vs. scramble distinction.
Edit intent: coherence
Original: Low latency, especially at the tail, is increasingly demanded by interactive applications in data center networks .
Revised: Data center networks need to provide low latency, especially at the tail, is increasingly demanded by interactive applications in data center networks .
Edit intent: clarity
Original: Low latency, especially at the tail, is increasingly demanded by interactive applications in data center networks .
Revised: Low latency, especially at the tail, as demanded by many interactive applications .
Edit intent: clarity
Original:  To improve tail latency, existing approaches require modifications to switch hardware and/or end-host stacks , making them difficult to be deployed.
Revised:  To improve tail latency, existing approaches require modifications to switch hardware and/or end-host operating systems , making them difficult to be deployed.
Edit intent: clarity
Original:  We present the design, implementation, and evaluation of RepFlow , an application layer transport based on%DIFDELCMD < {\tt %DIFDELCMD < %%% node.js that can be deployed today.
Revised:  We present the design, implementation, and evaluation of RepFlow , an application layer transport %DIFDELCMD < {\tt %DIFDELCMD < %%% node.js that can be deployed today.
Edit intent: clarity
Original:  We present the design, implementation, and evaluation of RepFlow , an application layer transport based on%DIFDELCMD < {\tt %DIFDELCMD < %%% node.js that can be deployed today.
Revised:  We present the design, implementation, and evaluation of RepFlow , an application layer transport based on%DIFDELCMD < {\tt %DIFDELCMD < %%% that can be deployed today.
Edit intent: coherence
Original:  {\tt node.js} {\tt  's single threaded event-loop and non-blocking I/O makes flow replication highly efficient.
Revised:  {\tt node.js} {\tt node 's single threaded event-loop and non-blocking I/O makes flow replication highly efficient.
Edit intent: fluency
Original:  {\tt node.js} {\tt  's single threaded event-loop and non-blocking I/O makes flow replication highly efficient.
Revised:  {\tt node.js} {\tt 's single threaded event-loop and non-blocking I/O make flow replication highly efficient.
Edit intent: fluency
Original:  We further implement RepSYN to alleviate RepFlow's negative impact in incast scenarios by only using the first connection that finishes TCP handshaking.
Edit intent: coherence
Original:  Performance evaluation on a leaf-spine network testbed reveals that RepFlow is able to reduce the tail latency of small flows by more than 50\\%DIF < . Also, RepSYN offers similar benefits in scenarios with and without incast.
Revised:  Performance evaluation on a leaf-spine network testbed reveals that RepFlow is able to reduce the tail latency of small flows by more than 50\\%DIF < . Also, RepSYN offers similar benefits 
Edit intent: clarity
Original:  Using  dynamic cavity method on time trajectories, we construct a general procedure for deriving the dynamic message-passing (DMP) equations for a large class of models with unidirectional dynamics - the key ingredient that makes the problem solvable.
Revised:  Using the dynamic cavity method on time trajectories, we construct a general procedure for deriving the dynamic message-passing (DMP) equations for a large class of models with unidirectional dynamics - the key ingredient that makes the problem solvable.
Edit intent: fluency
Original:  Using  dynamic cavity method on time trajectories, we construct a general procedure for deriving the dynamic message-passing (DMP) equations for a large class of models with unidirectional dynamics - the key ingredient that makes the problem solvable.
Revised:  Using dynamic cavity method on time trajectories, we construct a general procedure for deriving the dynamic message-passing equations for a large class of models with unidirectional dynamics - the key ingredient that makes the problem solvable.
Edit intent: clarity
Original:  Many methods have been proposed to discover communities in networks , among which label propagation algorithm and its extensions are especially scalable for very large networks .
Revised:  Many methods have been proposed to discover communities in networks .
Edit intent: clarity
Original:  In this paper, we propose two Gaussian stochastic blockmodels that use Gaussian distributions to fit weight of edges in networks .
Revised:  In this paper, we propose a Gaussian stochastic blockmodel that uses Gaussian distributions to fit weight of edges in networks .
Edit intent: clarity
Original:  These two models can be seen as generalized label propagation algorithm under constraint and label propagation with node preference respectively .
Revised:  These two models can be seen as generalized label propagation algorithm under constraint and label propagation with node preference .
Edit intent: clarity
Original:  The node preference of a specific vertex considered in our second model turns out to be a value proportional to the HITS score ( principal eigenvector of the adjacency matrix of the subgraph ) inside that vertex's community  under maximum likelihood estimation.
Revised:  The node preference of a specific vertex turns out to be a value proportional to the HITS score ( principal eigenvector of the adjacency matrix of the subgraph ) inside that vertex's community under maximum likelihood estimation.
Edit intent: clarity