wanyu/IteraTeR_v2 huggingface dataset:
Original:  Calcification of the newest surfaces extends the shell as well as creates a new scaffold that constrains the next generation of the sequence .
Revised:  Calcification of the newest surfaces extends the shell as well as creates a new scaffold that constrains the next growth step .
Edit intent: clarity
Original:  We study the effects of surface and volumetric growth rates, and of existing shell geometries on the resulting modes of mantle deformation, and therefore of the developing shell's morphology.
Revised:  We study the effects of surface and volumetric growth rates, and of previously deposited shell geometries on the resulting modes of mantle deformation, and therefore of the developing shell's morphology.
Edit intent: clarity
Original:  Our approach is based on an analysis of the local error structure of product formulas, as introduced by Descombes and Thalhammer and significantly simplified here.
Revised:  Our approach is based on an analysis of the local error structure of product formulas, as introduced by Descombes and Thalhammer and further simplified here.
Edit intent: clarity
Original:  In this paper, we explore this domain and introduce a game-theoretic model that captures the most relevant aspects for an organization protecting itself from a water-hole attack .
Revised:  In this paper, we explore this domain and introduce a game-theoretic model that captures the salient aspects for an organization protecting itself from a water-hole attack .
Edit intent: clarity
Original:  Our main contributions are (1) the Social Engineering Deception Game model , (2) detailed analysis of the game model , (3) an algorithm to solve for the optimal protection policy , (4) heuristics to improve the scalability of our approach, and (5) detailed experiments that analyze the application of our approach .
Revised:  Our main contributions are (1) the Social Engineering Deception Game model , (2) an in-depth analysis of the game model , (3) an algorithm to solve for the optimal protection policy , (4) heuristics to improve the scalability of our approach, and (5) detailed experiments that analyze the application of our approach .
Edit intent: clarity
Original:  Our main contributions are (1) the Social Engineering Deception Game model , (2) detailed analysis of the game model , (3) an algorithm to solve for the optimal protection policy , (4) heuristics to improve the scalability of our approach, and (5) detailed experiments that analyze the application of our approach .
Revised:  Our main contributions are (1) the Social Engineering Deception Game model , (2) detailed analysis of the game model , (3) an iterative algorithm which solves for the optimal protection policy , (4) heuristics to improve the scalability of our approach, and (5) detailed experiments that analyze the application of our approach .
Edit intent: clarity
Original:  One clever technique, the ``watering hole'' attack, compromises a legitimate website to execute drive-by download attacks by redirecting users to another malicious domain.
Revised:  One clever technique, the "watering hole" attack, compromises a legitimate website to execute drive-by download attacks by redirecting users to another malicious domain.
Edit intent: fluency
Original:  Our main contributions are (1) a novel Social Engineering Deception (SED) game model that features a continuous action set for the attacker, (2) an in-depth analysis of the SED model to identify computationally feasible real-world cases, and (3) an iterative algorithm which solves for the optimal protection policy using (i) a characterization of websites that may be compromised, (ii) an LP-relaxation with optimality condition, and (iii) the column generation method.
Revised:  Our main contributions are (1) a novel Social Engineering Deception (SED) game model that features a continuous action set for the attacker, (2) an in-depth analysis of the SED model to identify computationally feasible real-world cases, and (3) the CyberTWEAK algorithm which solves for the optimal protection policy using (i) a characterization of websites that may be compromised, (ii) an LP-relaxation with optimality condition, and (iii) the column generation method.
Edit intent: clarity
Original:  One major difficulty following is that the dimension of the weights adaptation optimization problem is increasing exponentially with the network size and most existing evolutionary algorithms cannot achieve satisfied performance on large-scale optimization problems.
Revised:  One major difficulty is that the dimension of the weights adaptation optimization problem is increasing exponentially with the network size and most existing evolutionary algorithms cannot achieve satisfied performance on large-scale optimization problems.
Edit intent: coherence
Original:  One major difficulty following is that the dimension of the weights adaptation optimization problem is increasing exponentially with the network size and most existing evolutionary algorithms cannot achieve satisfied performance on large-scale optimization problems.
Revised:  One major difficulty following is that the dimension of the problem is increasing exponentially with the network size and most existing evolutionary algorithms cannot achieve satisfied performance on large-scale optimization problems.
Edit intent: clarity
Original:  One major difficulty following is that the dimension of the weights adaptation optimization problem is increasing exponentially with the network size and most existing evolutionary algorithms cannot achieve satisfied performance on large-scale optimization problems.
Revised:  One major difficulty following is that the dimension of the weights adaptation optimization problem is increasing exponentially with the network size and most existing evolutionary algorithms cannot achieve satisfiable performance on large-scale optimization problems.
Edit intent: clarity
Original:  To address this issue, a novel constrained cooperative coevolution (C^3) strategy  which can separate the original large-scale problem into different subcomponents is tailored for this problem.
Revised:  To address this issue, a novel constrained cooperative coevolution (C^3) strategy , which can separate the original large-scale problem into different subcomponents is tailored for this problem.
Edit intent: fluency
Original:  Meanwhile, the \epsilon constraint-handling technique is employed to achieve the tradeoff between constraint and objective function .
Revised:  Meanwhile, the \epsilon constraint-handling technique is employed to achieve the trade-off between the constraint and objective function .
Edit intent: fluency
Original: This paper proposes and analyzes the first distributed algorithm that solves the weight-balancing problem using only finite rate and simplex communications among nodes, compliant to the directed nature of the graph edges.
Revised: This paper proposes the first distributed algorithm that solves the weight-balancing problem using only finite rate and simplex communications among nodes, compliant to the directed nature of the graph edges.
Edit intent: clarity
Original: This paper proposes and analyzes the first distributed algorithm that solves the weight-balancing problem using only finite rate and simplex communications among nodes, compliant to the directed nature of the graph edges.
Revised: This paper proposes and analyzes the first distributed algorithm that solves the weight-balancing problem using only finite rate and simplex communications among nodes, compliant with the directed nature of the graph edges.
Edit intent: fluency
Original:  Building on this result, a novel distributed algorithm is proposed that solves the average consensus problem over digraphs, using, at each iteration , finite rate simplex communications between adjacent nodes-some bits for the weight balancing problem and others for the average consensus.
Revised:  Building on this result, a novel distributed algorithm is proposed that solves the average consensus problem over digraphs, using, at each timeslot , finite rate simplex communications between adjacent nodes-some bits for the weight balancing problem and others for the average consensus.
Edit intent: clarity
Original:  Building on this result, a novel distributed algorithm is proposed that solves the average consensus problem over digraphs, using, at each iteration , finite rate simplex communications between adjacent nodes-some bits for the weight balancing problem and others for the average consensus.
Revised:  Building on this result, a novel distributed algorithm is proposed that solves the average consensus problem over digraphs, using, at each iteration , finite rate simplex communications between adjacent nodes -- some bits for the weight balancing problem and others for the average consensus.
Edit intent: fluency
Original:  Building on this result, a novel distributed algorithm is proposed that solves the average consensus problem over digraphs, using, at each iteration , finite rate simplex communications between adjacent nodes-some bits for the weight balancing problem and others for the average consensus.
Revised:  Building on this result, a novel distributed algorithm is proposed that solves the average consensus problem over digraphs, using, at each iteration , finite rate simplex communications between adjacent nodes-some bits for the weight-balancing problem and others for the average consensus.
Edit intent: fluency
Original:  Convergence of the proposed quantized consensus algorithm to the average of the unquantized node's  initial values is proved , both almost surely and in the rth moment of the error , for all positive integers r. Finally, numerical results validate our theoretical findings.
Revised:  Convergence of the proposed quantized consensus algorithm to the average of the node's initial values is proved , both almost surely and in the rth moment of the error , for all positive integers r. Finally, numerical results validate our theoretical findings.
Edit intent: clarity
Original:  Convergence of the proposed quantized consensus algorithm to the average of the unquantized node's  initial values is proved , both almost surely and in the rth moment of the error , for all positive integers r. Finally, numerical results validate our theoretical findings.
Revised:  Convergence of the proposed quantized consensus algorithm to the average of the unquantized node's initial values is established , both almost surely and in the rth moment of the error , for all positive integers r. Finally, numerical results validate our theoretical findings.
Edit intent: clarity
Original:  Convergence of the proposed quantized consensus algorithm to the average of the unquantized node's  initial values is proved , both almost surely and in the rth moment of the error , for all positive integers r. Finally, numerical results validate our theoretical findings.
Revised:  Convergence of the proposed quantized consensus algorithm to the average of the unquantized node's initial values is proved , both almost surely and in the moment generating function of the error , for all positive integers r. Finally, numerical results validate our theoretical findings.
Edit intent: clarity
Original:  Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e-community .
Revised:  Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e- community .
Edit intent: fluency
Original:  We consider sequences of  expanding trust graphs and show that, under our key assumption and additional requirements from the expansion process , including keeping the conductance of the community trust graph sufficiently high, a community may expand safely.
Revised:  We consider sequences of expanding trust graphs and show that, under our key assumption and additional requirements , including keeping the conductance of the community trust graph sufficiently high, a community may expand safely.
Edit intent: clarity
Original:  We consider sequences of incrementally expanding trust graphs and show that, under our key assumption and additional requirements, including keeping the conductance of the community trust graph sufficiently high, a community may expand safely.
Revised:  We consider sequences of incrementally growing trust graphs and show that, under our key assumption and additional requirements, including keeping the conductance of the community trust graph sufficiently high, a community may expand safely.
Edit intent: clarity
Original:  We consider sequences of incrementally expanding trust graphs and show that, under our key assumption and additional requirements, including keeping the conductance of the community trust graph sufficiently high, a community may expand safely.
Revised:  We consider sequences of incrementally expanding trust graphs and show that, under our key assumption and additional requirements, including keeping the conductance of the community trust graph sufficiently high, a community may grow safely.
Edit intent: clarity
Original: Preventing fake or duplicate e-identities (aka sybils) from joining an e-community may be crucial to its survival, especially if it utilizes a consensus protocol among its members or employs democratic governance, where sybils can undermine consensus, tilt decisions, or even take over.
Revised: Preventing fake or duplicate digital identities (aka sybils) from joining an e-community may be crucial to its survival, especially if it utilizes a consensus protocol among its members or employs democratic governance, where sybils can undermine consensus, tilt decisions, or even take over.
Edit intent: clarity
Original: Preventing fake or duplicate e-identities (aka sybils) from joining an e-community may be crucial to its survival, especially if it utilizes a consensus protocol among its members or employs democratic governance, where sybils can undermine consensus, tilt decisions, or even take over.
Revised: Preventing fake or duplicate e-identities (aka sybils) from joining a digital community may be crucial to its survival, especially if it utilizes a consensus protocol among its members or employs democratic governance, where sybils can undermine consensus, tilt decisions, or even take over.
Edit intent: clarity
Original:  Here, we explore the use of a trust graph of identities, with trust edges representing trust among identity owners, to allow a community to grow  without increasing its sybil penetration.
Revised:  Here, we explore the use of a trust-graph of identities, with trust edges representing trust among identity owners, to allow a community to grow without increasing its sybil penetration.
Edit intent: fluency
Original:  Here, we explore the use of a trust graph of identities, with trust edges representing trust among identity owners, to allow a community to grow  without increasing its sybil penetration.
Revised:  Here, we explore the use of a trust graph of identities, with edges representing trust among identity owners, to allow a community to grow without increasing its sybil penetration.
Edit intent: fluency
Original:  Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e- community.
Revised:  Since identities are admitted to the digital community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e- community.
Edit intent: clarity
Original:  Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e- community.
Revised:  Since identities are admitted to the e-community based on their trust by existing digital community members, corrupt identities, which may trust sybils, also pose a threat to the e- community.
Edit intent: clarity
Original:  Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the e- community.
Revised:  Since identities are admitted to the e-community based on their trust by existing e-community members, corrupt identities, which may trust sybils, also pose a threat to the digital community.
Edit intent: clarity
Original:  Sybils and their corrupt perpetrators are together referred to as Byzantines, and our overarching aim is to limit their penetration into an e-community.
Revised:  Sybils and their corrupt perpetrators are together referred to as byzantines, and the overarching aim is to limit their penetration into an e-community.
Edit intent: fluency
Original:  Our key tool in achieving this is graph conductance, and our key assumption is that honest people are averse to corrupt ones and tend to distrust them.
Revised:  Our key tool in achieving this is graph conductance, which works under the assumption that honest people are averse to corrupt ones and tend to distrust them.
Edit intent: clarity
Original:   Of particular interest is keeping the fraction of Byzantines below one third, as it would allow the use of Byzantine Agreement [ 13 ] for consensus as well as for sybil-resilient social choice [ 16,20 and sybil-resilient parameter update 19].
Revised:  Of particular interest is keeping the fraction of byzantines below one third, as it would allow the use of Byzantine Agreement [ 13 ] for consensus as well as for sybil-resilient social choice [ 16,20 and sybil-resilient parameter update 19].
Edit intent: fluency
Original:   Of particular interest is keeping the fraction of Byzantines below one third, as it would allow the use of Byzantine Agreement [ 13 ] for consensus as well as for sybil-resilient social choice [ 16,20 and sybil-resilient parameter update 19].
Revised:  Of particular interest is keeping the fraction of Byzantines below one third, as it would allow the use of Byzantine Agreement [ 13 ] for consensus as well as for sybil-resilient social choice [ and sybil-resilient parameter update 19].
Edit intent: clarity
Original:   Of particular interest is keeping the fraction of Byzantines below one third, as it would allow the use of Byzantine Agreement [ 13 ] for consensus as well as for sybil-resilient social choice [ 16,20 and sybil-resilient parameter update 19].
Revised:  Of particular interest is keeping the fraction of Byzantines below one third, as it would allow the use of Byzantine Agreement [ 13 ] for consensus as well as for sybil-resilient social choice [ 16,20 19].
Edit intent: clarity
Original:  We consider sequences of incrementally growing trust graphs and show that, under our key assumption and additional requirements, including keeping the conductance  of the community trust graph sufficiently high, a community may grow safely  .
Revised:  This paper considers incrementally growing a trust graph and shows that, under our key assumption and additional requirements, including keeping the conductance of the community trust graph sufficiently high, a community may grow safely .
Edit intent: clarity
Original:  We consider sequences of incrementally growing trust graphs and show that, under our key assumption and additional requirements, including keeping the conductance  of the community trust graph sufficiently high, a community may grow safely  .
Revised:  We consider sequences of incrementally growing trust graphs and show that, under its key assumptions and additional requirements, including keeping the conductance of the community trust graph sufficiently high, a community may grow safely .
Edit intent: fluency
Original:  Our method  classifies and discards outlier samples, and  estimates correction vectors that project noisy points onto the original clean surfaces.
Revised:  Our method first classifies and discards outlier samples, and estimates correction vectors that project noisy points onto the original clean surfaces.
Edit intent: clarity
Original:  Our method  classifies and discards outlier samples, and  estimates correction vectors that project noisy points onto the original clean surfaces.
Revised:  Our method classifies and discards outlier samples, and then estimates correction vectors that project noisy points onto the original clean surfaces.
Edit intent: clarity
Original:  In our extensive evaluation,  we show an increased robustness to strong noise levels compared to various state-of-the-art methods, enabling high-quality surface reconstruction from extremely noisy real data obtained by range scans.
Revised:  In our extensive evaluation, we show an increased robustness to strong noise levels compared to various state-of-the-art methods, enabling accurate surface reconstruction from extremely noisy real data obtained by range scans.
Edit intent: clarity
Original:  Moreover, reinforced control is mixed with random process to regulate arbitrary mutation, maintaining a delicate balance between exploration and exploitation.
Revised:  Moreover, reinforced control is mixed with natural mutating process to regulate arbitrary mutation, maintaining a delicate balance between exploration and exploitation.
Edit intent: clarity
Original:  Our preliminary experiments conducted in Super Resolution domain (SR) deliver rivalling models compared to some state-of-the-art methods with much less FLOPS.
Revised:  Our experiments conducted in Super Resolution domain (SR) deliver rivalling models compared to some state-of-the-art methods with much less FLOPS.
Edit intent: clarity
Original: Fabricating neural models for a wide range of mobile devices demands for  specific design of networks due to highly constrained resources.
Revised: Fabricating neural models for a wide range of mobile devices demands for a specific design of networks due to highly constrained resources.
Edit intent: fluency
Original:  Both evolution algorithms (EA) and reinforced learning methods (RL) have been introduced to address Neural Architecture Search, distinct efforts to integrate both categories have also been proposed .
Revised:  Both evolution algorithms (EA) and reinforced learning methods (RL) have been dedicated to solve neural architecture search problems .
Edit intent: clarity
Original:  However, these combinations usually concentrate on a single objective such as  error rate of image classification.
Revised:  However, these combinations usually concentrate on a single objective such as the error rate of image classification.
Edit intent: fluency
Original:  Moreover, reinforced control is mixed with  natural mutating process to regulate arbitrary mutation, maintaining a delicate balance between exploration and exploitation.
Revised:  Moreover, reinforced control is mixed with a natural mutating process to regulate arbitrary mutation, maintaining a delicate balance between exploration and exploitation.
Edit intent: fluency
Original:  Our experiments conducted in Super Resolution domain (SR) deliver rivalling models compared to some state-of-the-art methods with much less FLOPS.
Revised:  Our experiments conducted in Super-resolution domain (SR) deliver rivalling models compared to some state-of-the-art methods with much less FLOPS.
Edit intent: fluency
Original:  Our experiments conducted in Super Resolution domain (SR) deliver rivalling models compared to some state-of-the-art methods with much less FLOPS.
Revised:  Our experiments conducted in Super Resolution domain (SR) deliver rivalling models compared to some state-of-the-art methods with fewer FLOPS.
Edit intent: clarity