wanyu/IteraTeR_full_sent huggingface dataset:
Original:  We propose a partial identification approach that allows a researcher to explicitly and transparently examine this trade-off and make inferences about the structural function that are valid under a small failure of instrumental validity. We construct a simple, consistent estimator of the identified set .
Revised:  We propose a partial identification approach to estimation in NPIV models. We provide a point estimator that minimizes the worst-case asymptotic bias and error-bounds that explicitly account for some degree of misspecification .
Edit intent: meaning-changed
Original:  In addition, we put forward a thesis that the cerebellum embodies internal models of all persistent, exogenous reference and disturbance signals acting on the body and observable through the error signals it receives . Our proposed architecture is compared to feedback error learning, a variant of the computed torque method in robotics and currently the best developed computational architecture for the cerebellum .
Revised:  In addition, we put forward a thesis that the cerebellum embodies internal models of all persistent, exogenous reference and disturbance signals acting on the body and observable through the error signals it receives .
Edit intent: coherence
Original: In this paper, we analyze the cognitive improvements that can be achieved through hacking the brain and using neuroplasticity. Not all cases of neuroplasticity are useful, but exposure to gaming, for example, has proven conducive for learning  .
Revised: In this paper, we analyze the cognitive improvements that can be achieved through hacking the brain through the use of multiple methods to enhance neuroplasticity. Exposure to gaming, for example, has proven conducive for learning .
Edit intent: clarity
Original:  We prove that the size of a maximum matching is at least \beta(n)/2 where \beta(n) is the minimum, over all \Theta_6-graphs with n vertices, of the minimum size of a blocking set.
Revised:  We prove that the size of a maximum matching is at least \beta(n)/2 where \beta(n) is the minimum, over all theta-six graphs with n vertices, of the minimum size of a blocking set.
Edit intent: fluency
Original: There are moments where we make decisions involving tradeoffs among costs and benefits occurring in different times. Essentially, in these cases, we are evaluating dynamic processes with outcomes still unknown. So, do we use some intuitive logic to judge changes involving values and time? The fuzzy temporal logic , introduced in this paper, proposes to model the figures of thought necessary to form a rhetoric for decision-making  .
Revised: This paper shows that the fuzzy temporal logic , introduced in this paper, proposes to model the figures of thought necessary to form a rhetoric for decision-making .
Edit intent: coherence
Original:  The fuzzy temporal logic , introduced in this paper, proposes to model the figures of thought necessary to form a rhetoric for decision-making  .
Revised:  The fuzzy temporal logic , introduced in this paper, proposes to model the figures of thought necessary to form a rhetoric for decision-making behaviors. In order to exemplify, some economic behaviors observed experimentally were modeled from problems of choice containing time, uncertainty and fuzziness. Related to time preference, it is noted that the subadditive discounting is mandatory in positive rewards situations and, consequently, results in the magnitude effect and time effect, where the last has a stronger discounting for earlier delay periods (as in, one hour, one day), but a weaker discounting for longer delay periods (for instance, six months, one year, ten years) .
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Original:  To exemplify, the intertemporal choices and the lotteries choices are analyzed. The first problem is related to the time preferenceof receiving amounts on different dates. So it is shown that a subadditive hyperbolic discount function is not anomaly, but it consistently describes the goods delay within the fuzzy temporal logic. The second problem is related to values and probabilities of lotteries, where Prospect Theory behaviors and the S-shaped curve can be described using tense operators and fuzzy set operators.
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Original:  In addition, it is shown that some behaviors are amount dependent where the fuzziness can be decisive in the judgment. Thus, time, uncertainty and fuzziness are unified in a single matter which models the rhetoric for decision-making in different contexts of gains and losses .
Revised:  In addition, it is possible to explain the preference reversal (change of preference when two rewards proposed on different dates are shifted in the time). Related to the Prospect Theory, it is shown that the risk seeking and the risk aversion are magnitude dependents, where the risk seeking may disappear when the values to be lost are very high .
Edit intent: meaning-changed
Original: We consider a canonical revenue maximization problem where customers arrive sequentially; each customer is interested in buying one product, and the customer purchases the product if her valuation for it exceeds the price set by the seller. The valuations of customers are not observed by the seller ; however, the seller can leverage contextual information available to her in the form of noisy covariate vectors describing the customer's history and the product's type to set prices.
Revised: Motivated by the application of real-time pricing in e-commerce platforms, we consider the problem of revenue-maximization in a setting where the seller can leverage contextual information available to her in the form of noisy covariate vectors describing the customer's history and the product's type to set prices.
Edit intent: clarity
Original:  however, the seller can leverage contextual information available to her in the form of noisy covariate vectors describing the customer's history and the product's type to set prices. The seller can learn the relationship between covariates and customer valuations by experimenting with prices and observing transaction outcomes. We consider a semi-parametric model where the relationship between the expectation of the log of valuation and the covariates is linear (hence parametric) and the residual uncertainty distribution , i. e., the noise distribution , is non-parametric .
Revised:  however, the seller can leverage contextual information available to her in the form of noisy covariate vectors describing the customer's history and the product's type to predict her valuation of the product. However, her true valuation is unobservable to the seller, only binary outcome in the form of success-failure of a transaction is observed. Unlike in usual contextual bandit settings, the optimal price/arm given a covariate in our setting is sensitive to the detailed characteristics of the residual uncertainty distribution , i. e., the noise distribution , is non-parametric .
Edit intent: coherence
Original:  We consider a semi-parametric model where the relationship between the expectation of the log of valuation and the covariates is linear (hence parametric) and the residual uncertainty distribution , i. e., the noise distribution , is non-parametric .
Revised:  We consider a semi-parametric model where the relationship between the expectation of the log of valuation and the covariates is linear (hence parametric) and the residual uncertainty distribution . We develop a semi-parametric model in which the residual distribution is non-parametric .
Edit intent: coherence
Original:  We consider a semi-parametric model where the relationship between the expectation of the log of valuation and the covariates is linear (hence parametric) and the residual uncertainty distribution , i. e., the noise distribution , is non-parametric . We develop a pricing policy, DEEP-C, which learns this relationship with minimal exploration and in turn achieves optimal regretasymptotically in the time horizon\tilde  .
Revised:  We consider a semi-parametric model where the relationship between the expectation of the log of valuation and the covariates is linear (hence parametric) and the residual uncertainty distribution , i. e., the noise distribution , is non-parametric and provide the first algorithm which learns both regression parameters and residual distribution with\tilde .
Edit intent: coherence
Original:  Here we present a computational model that uses a simulation of recently described mechanisms of synaptic plasticity to account for findings from the  consolidation/reconsolidation literature and to make predictions for future research.
Revised:  Here we present a computational model that uses a simulation of recently described mechanisms of synaptic plasticity to account for findings from the systems consolidation/reconsolidation literature and to make predictions for future research.
Edit intent: meaning-changed
Original:  In Study 1 (N=567) we implement an extreme Dictator game in which dictators either get \0.50 and another person gets nothing, or the opposite (i.e., the other person gets \0.50 and the dictator gets nothing).
Revised:  In Study 1 (N=567) we implement an extreme dictator game in which dictators either get \0.50 and another person gets nothing, or the opposite (i.e., the other person gets \0.50 and the dictator gets nothing).
Edit intent: fluency
Original:  In Study 1 (N=567) we implement an extreme Dictator game in which dictators either get \0.50 and another person gets nothing, or the opposite (i.e., the other person gets \0.50 and the dictator gets nothing).
Revised:  In Study 1 (N=567) we implement an extreme Dictator game in which the dictator either gets \0.50 and another person gets nothing, or the opposite (i.e., the other person gets \0.50 and the dictator gets nothing).
Edit intent: fluency
Original:  In Study 1 (N=567) we implement an extreme Dictator game in which dictators either get \0.50 and another person gets nothing, or the opposite (i.e., the other person gets \0.50 and the dictator gets nothing).
Revised:  In Study 1 (N=567) we implement an extreme Dictator game in which dictators either get \0.50 and the recipient gets nothing, or the opposite (i.e., the other person gets \0.50 and the dictator gets nothing).
Edit intent: clarity
Original:  In Study 1 (N=567) we implement an extreme Dictator game in which dictators either get \0.50 and another person gets nothing, or the opposite (i.e., the other person gets \0.50 and the dictator gets nothing).
Revised:  In Study 1 (N=567) we implement an extreme Dictator game in which dictators either get \0.50 and another person gets nothing, or the opposite (i.e., the recipient gets \0.50 and the dictator gets nothing).
Edit intent: clarity
Original:  In Study 2 (N= 413, pre-registered) we collect the self-reported moral judgment and feeling associated to each of the six words used in Study 1. We show that these moral judgments and feelings can explain the framing effects in Study 1.
Revised:  In Study 2 (N= 413, pre-registered) we collect the self-reported moral judgment and feeling associated to each of the six words used in Study 1 from ``extremely wrong'' to ``extremely right'' . We find that these moral judgments and feelings can explain the framing effects in Study 1.
Edit intent: meaning-changed
Original: A simple conjecture is presented concerning positive solutions of a scalar, time-varying, linear state equation with delay . Although the equation arises in the context of stock trading, no knowledge of finance is needed in the analysis to follow. Starting from positive initial conditions, the state X(k) is governed by a nonnegative constant parameter alpha and a time-varying parameter v(k) with known bounds but otherwise arbitrarily time-varying.
Revised: A simple conjecture is presented concerning positive solutions of a scalar, time-varying, linear state equation with delay which arises as a model for a trader's account value when buying and selling a risky asset in a financial market. The state equation includes a nonnegative feedback gain \alpha and a sequence v(k) with known bounds but otherwise arbitrarily time-varying.
Edit intent: clarity
Original:  Starting from positive initial conditions, the state X(k) is governed by a nonnegative constant parameter alpha and a time-varying parameter v(k) with known bounds but otherwise arbitrarily time-varying.
Revised:  Starting from positive initial conditions, the state X(k) is governed by a nonnegative constant parameter alpha and a time-varying parameter v(k) which models asset returns which are within known bounds but otherwise arbitrarily time-varying.
Edit intent: meaning-changed
Original:  Starting from positive initial conditions, the state X(k) is governed by a nonnegative constant parameter alpha and a time-varying parameter v(k) with known bounds but otherwise arbitrarily time-varying. We conjecture that if the state X(k) is positive for k less than or equal to N in response to a "distinguished path" v*(k) which we define, then for all admissible paths v(k), positivity of the state  is also guaranteed .
Revised:  Starting from positive initial conditions, the state X(k) is governed by a nonnegative constant parameter alpha and a time-varying parameter v(k) with known bounds but otherwise arbitrary. We introduce two thresholds, \alpha_- and \alpha_+, depending on these bounds, and prove that for \alpha < \alpha_-, state positivity is guaranteed for all time and all asset-return sequences; i.e., bankruptcy is ruled out and positive solutions of the state equation are continuable indefinitely. On the other hand, for \alpha > \alpha_+, we show that there is always a sequence of asset returns for which the state fails to be positive for all time; i.e., along this sequence, bankruptcy is certain and the solution of the state is also guaranteed .
Edit intent: meaning-changed
Original:  We conjecture that if the state X(k) is positive for k less than or equal to N in response to a "distinguished path" v*(k) which we define, then for all admissible paths v(k), positivity of the state  is also guaranteed .
Revised:  We conjecture that if the state X(k) is positive for k less than or equal to N in response to a "distinguished path" v*(k) which we define, then for all admissible paths v(k), positivity of the state equation ceases to be meaningful after some finite time. Finally, this paper also includes a conjecture which says that for the "gap" interval \alpha_- \leq \alpha \leq \alpha_+, state positivity is also guaranteed .
Edit intent: meaning-changed
Original:  We conjecture that if the state X(k) is positive for k less than or equal to N in response to a "distinguished path" v*(k) which we define, then for all admissible paths v(k), positivity of the state  is also guaranteed . The conjectureis supported by theoretical analysis for some special cases and simulations .
Revised:  We conjecture that if the state X(k) is positive for k less than or equal to N in response to a "distinguished path" v*(k) which we define, then for all admissible paths v(k), positivity of the state is also guaranteed for all time. Support for the conjecture, both theoretical and computational, is provided .
Edit intent: clarity
Original: This paper describes duneuro, a software toolbox for forward modeling in neuroscience. Its purpose is to provide extendible and easy-to-use interfaces and enable a closer integration into existing analysis pipelines. It provides implementations of  fitted and unfitted finite element methods and makes use of the Dune framework.
Revised: This paper describes duneuro, a software toolbox for forward modeling in bioelectromagnetism. Building upon the DUNE framework, it provides implementations of fitted and unfitted finite element methods and makes use of the Dune framework.
Edit intent: meaning-changed
Original:  It provides implementations of  fitted and unfitted finite element methods and makes use of the Dune framework. The forward problems consist of the electroencephalography (EEG) and magnetoencephalography(MEG) forward problems. For the incorporation into existing analysis pipelines,  Python and Matlab interfaces are provided.
Revised:  It provides implementations of fitted and unfitted finite element methods to efficiently solve the forward problems in electro- and magnetoencephalography. The user can choose between a variety of different source models that are implemented. The software's aim is to provide interfaces that are extendible and easy-to-use. In order to enable a closer integration into existing analysis pipelines, Python and Matlab interfaces are provided.
Edit intent: meaning-changed
Original:  It is proved that all the contingent claims in this model are attainable in the sense of Xiong and Zhou. Further, we propose a numerical scheme to approximate the optimal portfolio  .
Revised:  It is proved that all the contingent claims in this model are attainable in the market model is complete even in this case while the information is not complete and the drift is uncertain. Then, the optimal strategy based on partial information is derived, which reduces to solving a related backward stochastic differential equation (BSDE). Finally, we propose an efficient numerical scheme to approximate the optimal portfolio .
Edit intent: meaning-changed
Original: We consider a generalization of persistence diagrams, namely Radon measures supported on the upper half plane for which we define natural extensions of Wasserstein and bottleneck distances between persistence diagrams . Such measures naturally appear in topological data analysis when considering continuous representations of persistence diagrams (e.g.  persistence surfaces)
Revised: Despite the obvious similarities between the metrics used in topological data analysis and those of optimal transport, an optimal-transport based formalism to study persistence diagrams and similar topological descriptors has yet to come. In this article, by considering the space of persistence diagrams as a measure space, and by observing that its metrics can be expressed as solutions of optimal partial transport problems, we introduce a generalization of persistence diagrams, namely Radon measures supported on the upper half plane for which we define natural extensions of Wasserstein and bottleneck distances between persistence diagrams . Such measures naturally appear in topological data analysis when considering continuous representations of persistence diagrams (e.g. persistence surfaces)
Edit intent: meaning-changed
Original: We consider a generalization of persistence diagrams, namely Radon measures supported on the upper half plane for which we define natural extensions of Wasserstein and bottleneck distances between persistence diagrams . Such measures naturally appear in topological data analysis when considering continuous representations of persistence diagrams (e.g.  persistence surfaces)
Revised: We consider a generalization of persistence diagrams, namely Radon measures supported on the upper half plane . Such measures naturally appear in topological data analysis when considering continuous representations of persistence diagrams (e.g. persistence surfaces)
Edit intent: clarity
Original: We consider a generalization of persistence diagrams, namely Radon measures supported on the upper half plane for which we define natural extensions of Wasserstein and bottleneck distances between persistence diagrams . Such measures naturally appear in topological data analysis when considering continuous representations of persistence diagrams (e.g.  persistence surfaces)
Revised: We consider a generalization of persistence diagrams, namely Radon measures supported on the upper half plane for which we define natural extensions of Wasserstein and bottleneck distances between persistence diagrams . Such measures naturally appear in topological data analysis when considering continuous representations of persistence diagrams (e.g. \ persistence surfaces)
Edit intent: fluency
Original:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams  .
Revised:  New results include a characterization of convergence with respect to transport metrics, the existence of barycenters (Fr \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams .
Edit intent: meaning-changed
Original:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams  .
Revised:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams .
Edit intent: clarity
Original:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams  .
Revised:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr %DIFDELCMD < }%%% chet means ) for any distribution of diagrams .
Edit intent: clarity
Original:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams  .
Revised:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr \'e%DIFDELCMD < }%%% Fr\'echet means for any distribution of diagrams .
Edit intent: meaning-changed
Original:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams  .
Revised:  New results include a characterization of convergence with respect to Wasserstein metrics, and the existence of barycenters (Fr \'e%DIFDELCMD < }%%% chet means ) for any distribution of diagrams , and an exhaustive description of continuous linear representations of persistence diagrams .
Edit intent: meaning-changed
Original:  In this article, by considering the space of persistence diagrams as a measure space , and by observing that its metrics can be expressed as solutions of optimal partial transport problems, we introduce a generalization of persistence diagrams, namely Radon measures supported on the upper half plane.
Revised:  In this article, by considering the space of persistence diagrams as a space of discrete measures , and by observing that its metrics can be expressed as solutions of optimal partial transport problems, we introduce a generalization of persistence diagrams, namely Radon measures supported on the upper half plane.
Edit intent: clarity
Original:  In this article, by considering the space of persistence diagrams as a measure space , and by observing that its metrics can be expressed as solutions of optimal partial transport problems, we introduce a generalization of persistence diagrams, namely Radon measures supported on the upper half plane.
Revised:  In this article, by considering the space of persistence diagrams as a measure space , and by observing that its metrics can be expressed as optimal partial transport problems, we introduce a generalization of persistence diagrams, namely Radon measures supported on the upper half plane.
Edit intent: clarity
Original:  New results include a characterization of convergence with respect to transport metrics, the existence of Fr\'echet means  for any distribution of diagrams, and an exhaustive description of continuous linear representations of persistence diagrams.
Revised:  New results include a characterization of convergence with respect to Wasserstein metrics, a geometric description of barycenters ( Fr\'echet means for any distribution of diagrams, and an exhaustive description of continuous linear representations of persistence diagrams.
Edit intent: meaning-changed