wanyu/IteraTeR_full_sent huggingface dataset:
Original:  Previous work has mostly focused on computation of expectations . We conclude with a discussion of future work, including assessment of enqueueing policies that may have smaller age of information in some cases .
Revised:  Previous work has mostly focused on computation of expectations in very particular cases. We argue that using bufferless or very small buffer systems is best and support this by simulation. We also pose some open problems including assessment of enqueueing policies that may have smaller age of information in some cases .
Edit intent: meaning-changed
Original:  A regulator imposes a floor on the amount of energy each regulated firm must generate from solar power in a given period , providing them with certificates for each generated MWh. Firms offset these certificates against the floor , paying a penalty for any lacking certificates.
Revised:  A regulator imposes a floor on the amount of energy each regulated firm must generate from solar power in a given period and provides them with certificates for each generated MWh. Firms offset these certificates against the floor , paying a penalty for any lacking certificates.
Edit intent: clarity
Original:  A regulator imposes a floor on the amount of energy each regulated firm must generate from solar power in a given period , providing them with certificates for each generated MWh. Firms offset these certificates against the floor , paying a penalty for any lacking certificates.
Revised:  A regulator imposes a floor on the amount of energy each regulated firm must generate from solar power in a given period , providing them with certificates for each generated MWh. Firms offset these certificates against the floor and pay a penalty for any lacking certificates.
Edit intent: clarity
Original:  In this work, we formulate a stochastic control problem for generating and trading in SREC markets for a regulated firm's perspective accounting for generation and trading costs, and the impact both have on prices.
Revised:  In this work, we formulate a stochastic control problem for generating and trading in SREC markets for a regulated firm's perspective . We account for generation and trading costs, and the impact both have on prices.
Edit intent: fluency
Original:  In this work, we formulate a stochastic control problem for generating and trading in SREC markets for a regulated firm's perspective accounting for generation and trading costs, and the impact both have on prices. We provide a characterisation of the optimal strategy using the stochastic maximum principle and develop a numerical algorithm to solve this control problem , Based on this numerical solution, we provide detail and intuition for the optimal strategy for a regulated firm .
Revised:  In this work, we formulate a stochastic control problem for generating and trading in SREC markets for a regulated firm's perspective accounting for generation and trading costs, and the impact both have on SREC prices, provide a characterization of the optimal strategy using the stochastic maximum principle and develop a numerical algorithm to solve this control problem , Based on this numerical solution, we provide detail and intuition for the optimal strategy for a regulated firm .
Edit intent: fluency
Original:  We provide a characterisation of the optimal strategy using the stochastic maximum principle and develop a numerical algorithm to solve this control problem , Based on this numerical solution, we provide detail and intuition for the optimal strategy for a regulated firm .
Revised:  We provide a characterisation of the optimal strategy , and develop a numerical algorithm to solve this control problem , Based on this numerical solution, we provide detail and intuition for the optimal strategy for a regulated firm .
Edit intent: coherence
Original:  We provide a characterisation of the optimal strategy using the stochastic maximum principle and develop a numerical algorithm to solve this control problem , Based on this numerical solution, we provide detail and intuition for the optimal strategy for a regulated firm .
Revised:  We provide a characterisation of the optimal strategy using the stochastic maximum principle and develop a numerical algorithm to solve this control problem . Through numerical experiments, we explore how a firm who acts optimally behaves under various conditions. We find that an optimal firm's generation and trading behaviour can be separated into various regimes, based on the marginal benefit of obtaining an additional SREC, and validate our theoretical characterization of the optimal strategy. We also conduct parameter sensitivity experiments and conduct comparisons of the optimal strategy to other candidate strategies .
Edit intent: meaning-changed
Original:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However,  it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Revised:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission in the presence of extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However, it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Edit intent: clarity
Original:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However,  it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Revised:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called intrinsic noise-induced robustness (INIR) '' . However, it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Edit intent: fluency
Original:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However,  it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Revised:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) . However, it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Edit intent: fluency
Original:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However,  it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Revised:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However, because previous studies have focused on specific scenarios, it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Edit intent: clarity
Original:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However,  it is unclear whether INIR universally appears in various biochemical reactionsbecause previous studies focused on the specific biochemical reactions .
Revised:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission against the extrinsic noise, which is called `` intrinsic noise-induced robustness (INIR) '' . However, it is unclear whether INIR appears universally in biochemical reactions .
Edit intent: coherence
Original:  When the threshold is equal to the mean of the input, INIR is also realizedin the threshold model. On the other hand, when the threshold is much larger than the mean of the input , the threshold model shows the stochastic resonance(SR), and the INIR is not always realized .
Revised:  When the threshold is equal to the mean of the input, INIR is realized, but when the threshold is much larger than the mean of the input , the threshold model shows the stochastic resonance(SR), and the INIR is not always realized .
Edit intent: coherence
Original:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Revised:  However, the robustness against extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Edit intent: coherence
Original:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Revised:  However, the robustness against the extrinsic noise and the transmitted information can be traded off against one another in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Edit intent: clarity
Original:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Revised:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Edit intent: coherence
Original:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Revised:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without stochastic resonance , whereas they can be simultaneously increased in the threshold model with SR .
Edit intent: meaning-changed
Original:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with SR .
Revised:  However, the robustness against the extrinsic noise and the transmitted information are trade-off in the linear model and in the threshold model without SR , whereas they can be simultaneously increased in the threshold model with stochastic resonance .
Edit intent: meaning-changed
Original:  Therefore, it has been suggested that larger intrinsic noise enables more robust information transmission in the presence of extrinsic noise, which is called intrinsic noise-induced robustness (INIR).
Revised:  Therefore, it has been suggested that robustness against extrinsic noise increases with the level of the intrinsic noise. We call this phenomenon intrinsic noise-induced robustness (INIR).
Edit intent: clarity
Original:  However, the robustness against extrinsic noise and the transmitted information can be traded off against one another in the linear model and the threshold model without stochastic resonance, whereas they can be simultaneously increased in the threshold model with stochastic resonance.
Revised:  The robustness against extrinsic noise and the transmitted information can be traded off against one another in the linear model and the threshold model without stochastic resonance, whereas they can be simultaneously increased in the threshold model with stochastic resonance.
Edit intent: coherence
Original:  In our set-up, the choices of friends act as exclusion restrictions in the stochastic variation of the subset of alternatives that each person considers at the moment of picking an option. They allow us to recover (from a sequence of observed choices) the ranking of preferences of each person , the attention mechanism , and the set of connections or nodes between the people in the network .
Revised:  In our set-up, the choices of friends induce changes in the distribution of the consideration sets. We exploit this variation to recover the ranking of preferences of each person , the attention mechanism , and the set of connections or nodes between the people in the network .
Edit intent: clarity
Original:  They allow us to recover (from a sequence of observed choices) the ranking of preferences of each person , the attention mechanism , and the set of connections or nodes between the people in the network . The identification strategy we offer does not rely on the variation of the set of available options (or menus) which remain the same across all the observations .
Revised:  They allow us to recover (from a sequence of observed choices) the ranking of preferences of each person , the attention mechanism , and the network connections. These identification results allow unrestricted heterogeneity across people and do not rely on the variation of the set of available options (or menus) which remain the same across all the observations .
Edit intent: clarity
Original:  Specifically, we consider  higher-order nonlinear autoregressions that may exhibit rather arbitrary behavior for moderate values of the observed series and that behave in a near unit root manner for large values of the observed series.
Revised:  Specifically, we consider suitably defined higher-order nonlinear autoregressions that may exhibit rather arbitrary behavior for moderate values of the observed series and that behave in a near unit root manner for large values of the observed series.
Edit intent: meaning-changed
Original:  Specifically, we consider  higher-order nonlinear autoregressions that may exhibit rather arbitrary behavior for moderate values of the observed series and that behave in a near unit root manner for large values of the observed series.
Revised:  Specifically, we consider higher-order nonlinear autoregressions that behave similarly to a unit root process for large values of the observed series and that behave in a near unit root manner for large values of the observed series.
Edit intent: meaning-changed
Original:  Specifically, we consider  higher-order nonlinear autoregressions that may exhibit rather arbitrary behavior for moderate values of the observed series and that behave in a near unit root manner for large values of the observed series.
Revised:  Specifically, we consider higher-order nonlinear autoregressions that may exhibit rather arbitrary behavior for moderate values of the observed series but we place almost no restrictions on their dynamics for moderate values of the observed series.
Edit intent: meaning-changed
Original:  This results in a state-of-the-art surface normal estimator that is robust to noise, outliers and point density variation and that preserves sharp features through anisotropic kernels and a local spatial transformer.
Revised:  This results in a state-of-the-art surface normal estimator that is robust to noise, outliers and point density variation , preserves sharp features through anisotropic kernels and a local spatial transformer.
Edit intent: coherence
Original:  This results in a state-of-the-art surface normal estimator that is robust to noise, outliers and point density variation and that preserves sharp features through anisotropic kernels and a local spatial transformer.
Revised:  This results in a state-of-the-art surface normal estimator that is robust to noise, outliers and point density variation and that preserves sharp features through anisotropic kernels and equivariance through a local quaternion-based spatial transformer.
Edit intent: meaning-changed
Original: We extend Greenberg et al. 7%DIFDELCMD < ] %%% to a production economy with infinitely many commodities and prove the existence of a competitive equilibrium for the economy .
Revised: We extend Greenberg et al. 7%DIFDELCMD < ] %%% prove the existence of a competitive equilibrium in a production economy with infinitely many commodities and prove the existence of a competitive equilibrium for the economy .
Edit intent: clarity
Original: We characterize the revenue-maximizing Perfect Bayesian equilibrium for a seller who owns one unit of a durable good and interacts with a privately informed buyer over infinitely many periods. In each period, the seller can design a mechanism that determines the rules of trade. In the revenue-maximizing equilibrium, as long as a sale has not occurred, the seller chooses a mechanism that can be implemented as a posted price. Conceptually, this shows that the shape of the revenue-maximizing mechanism to sell a durable good is the same under commitment or limited commitment . Methodologically, the paper provides a recipe for problems of mechanism design with limited commitment .
Revised: We characterize the revenue-maximizing Perfect Bayesian equilibrium for a seller who owns one unit of a durable good and interacts with a privately informed buyer when the seller has limited commitment in an infinite horizon setting. We provide a methodology for mechanism design with limited commitment .
Edit intent: clarity
Original:  Methodologically, the paper provides a recipe for problems of mechanism design with limited commitment . While in the case of commitment, subject to the  truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Revised:  Methodologically, the paper provides a recipe for problems of mechanism design with limited commitment and transferable utility. Whereas in the case of commitment, subject to the truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Edit intent: meaning-changed
Original:  While in the case of commitment, subject to the  truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Revised:  While in the case of commitment, subject to the buyer's truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Edit intent: fluency
Original:  While in the case of commitment, subject to the  truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Revised:  While in the case of commitment, subject to the truthtelling and participation constraints , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Edit intent: clarity
Original:  While in the case of commitment, subject to the  truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Revised:  While in the case of commitment, subject to the truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Edit intent: coherence
Original:  While in the case of commitment, subject to the  truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem can be represented as an intrapersonal equilibrium, where the different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Revised:  While in the case of commitment, subject to the truthtelling and participation constraints of the buyer , the seller's problem is a decision problem, in the case of limited commitment, we show that the seller's problem corresponds to an intrapersonal game, where different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation.
Edit intent: clarity
Original: We show that posted prices are the optimal mechanism to sell a durable good to a privately informed buyer when the seller has limited commitment in an infinite horizon setting. We provide a methodology for mechanism design with limited commitmentand transferable utility. Whereas in the case of commitment, subject to the buyer's truthtelling and participation constraints, the seller's problem is a decision problem, in the case of limited commitment, the seller's problem corresponds to an intrapersonal game, where different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation .
Revised: We show that posted prices are the optimal mechanism to sell a durable good from a seller who in each period chooses a mechanism under limited commitment. The buyer's truthtelling and participation constraints, the seller's problem is a decision problem, in the case of limited commitment, the seller's problem corresponds to an intrapersonal game, where different "incarnations" of the seller represent the different beliefs he may have about the buyer's valuation .
Edit intent: clarity