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500 | easy | 500 | Because we have consistently retained the leading order in all the approximations involving the bulk-flow , the two important flow properties discussed in Section [REF] remain unaltered . | Because we have retained the leading order in all the approximations involving the bulk-flow , the two important flow properties discussed in Section [REF] remain unaltered . | {'0': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [3, 4], 'sentence-2-token-indices': None}} | {} | {} | 1406.4864 | 1 | 2 |
501 | easy | 501 | The magnetic field appears as an additional effective phase breaking rate for the time reversed trajectories responsible of the WL leading to an effective [MATH] given by [CITATION] : [EQUATION] where [MATH] can be understood as a renormalized width which appears in the WL correction for a semi ballistic wire in the regime [MATH] due to the phenomenon of flux cancellation . | The magnetic field appears as an additional effective phase breaking rate for the time reversed trajectories responsible for the WL leading to an effective [MATH] given by [CITATION] : [EQUATION] where [MATH] is a renormalized width which appears in the WL correction for a semi ballistic wire ( [MATH] ) due to the phenomenon of flux cancellation . | {'0': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [17, 18], 'sentence-2-token-indices': [17, 18]}, '1': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [32, 54], 'sentence-2-token-indices': [32, 50]}} | {} | {} | cond-mat-0402534 | 1 | 2 |
502 | easy | 502 | Clear correlation between QPO parameters and X-ray flux have been found , when the source have been in its initial bright hard state . | When the source was observed in VHS , a clear correlation between QPO parameters and X-ray flux was seen . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [7, 9]}, '1': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [11, 12], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [15, 23], 'sentence-2-token-indices': [3, 7]}, '3': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [8, 11], 'sentence-2-token-indices': [17, 19]}} | {} | {} | astro-ph-9903306 | 1 | 2 |
503 | easy | 503 | We see a number of different sizes and shapes from small spherical clouds to expanded filaments and more complex structures . | We see a number of different sizes and shapes that range from small spherical clouds to expanded filaments and more complex structures . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [9, 11]}} | {} | {} | 1308.6112 | 1 | 2 |
504 | easy | 504 | ( Outline ) Bernoulli sampling is done in expected time [MATH] by generating skip values with a geometric distribution . | ( Outline ) Bernoulli sampling is done in expected time [MATH] by generating skip values with a geometric distribution using success probability [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [19, 23]}} | {} | {} | 1502.03942 | 1 | 2 |
505 | easy | 505 | We then find the solution valid to [MATH] [EQUATION] where in the second line of ( [REF] ) we have taken the early-time limit [MATH] . | We then find the solution valid to [MATH] [EQUATION] where in the second line of ( [REF] ) we focus on the early-time regime where [MATH] is negative and large . | {'0': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [23, 25], 'sentence-2-token-indices': [23, 30]}, '1': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [19, 21], 'sentence-2-token-indices': [19, 21]}} | {} | {} | 1505.04226 | 1 | 2 |
506 | easy | 506 | We run separate experiments with the slowdown applied at each layer of the network as well as 3 random seeds for each of these settings ( for a total of 18 experiments per data point ) . | We run separate experiments with the slowdown applied at each layer of the network as well as 3 random seeds for each of these settings ( thus 18 experiments per data point ) . | {'0': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [26, 30], 'sentence-2-token-indices': [26, 27]}} | {} | {} | 1901.08164 | 1 | 2 |
507 | hard | 507 | This entropy quantifies the amount of missing information regarding the property [MATH] in the pure or mixed quantum state . | This operator entropy quantifies the amount of information about the property [MATH] that is missing in the ( pure or mixed ) quantum state . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [1, 2]}, '1': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [12, 14]}, '2': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [17, 18]}, '3': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [21, 22]}, '4': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [8, 9]}} | {} | {} | 1901.08956 | 1 | 2 |
508 | easy | 508 | These sources also have a galactocentric radius of 6 kpc . | These sources also have a Galactocentric radius of 6 kpc . | {'0': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [5, 6], 'sentence-2-token-indices': [5, 6]}} | {} | {} | 1308.6112 | 1 | 2 |
509 | easy | 509 | They are read out from the top by 4 photomultiplier tubes ( PMT ) per cell . | They are read out from the top by four photomultiplier tubes ( PMT ) per cell . | {'0': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [8, 9]}} | {} | {} | 1806.02096 | 1 | 2 |
510 | easy | 510 | The Fig. [REF] shows there is a continuous phase and does't appear phase transition with [MATH] . | Fig. [REF] shows a continuous phase and does not appear phase transition with [MATH] . | {'0': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [0, 1], 'sentence-2-token-indices': None}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [4, 6], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [10, 11], 'sentence-2-token-indices': [7, 9]}} | {} | {} | 1806.00361 | 1 | 2 |
511 | easy | 511 | This value of [MATH] is much less than other values that are obtained in the literature [CITATION] and , in this sense , compares more favourably with the recent LHC results [CITATION] which suggest [MATH] GeV . | This value of [MATH] is not far from the recent LHC results [CITATION] which suggest [MATH] GeV . | {'0': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [5, 24], 'sentence-2-token-indices': None}, '1': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [24, 27], 'sentence-2-token-indices': [5, 8]}} | {} | {} | 1201.3968 | 2 | 3 |
512 | easy | 512 | In Sec. 4 conclusions are drawn . | In Sec. [REF] conclusions are drawn . | {'0': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [2, 3], 'sentence-2-token-indices': [2, 3]}} | {} | {} | 1712.00969 | 1 | 2 |
513 | easy | 513 | Accordingly , the final baryon-to-entropy ratio can be rewritten as [CITATION] [EQUATION] where [MATH] is given by [EQUATION] with [EQUATION] | Accordingly , the final baryon-to-entropy ratio can be rewritten as [CITATION] [EQUATION] where the parameter [MATH] is defined as [EQUATION] with [EQUATION] | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [13, 15]}, '1': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [15, 17], 'sentence-2-token-indices': [17, 19]}} | {} | {} | 1707.05535 | 1 | 2 |
514 | easy | 514 | The calculations have to be performed numerically because the function [MATH] appearing in param is not known , but is defined implicitly by klh . | The calculations have to be performed numerically because the function [MATH] appearing in param is not known , but it is defined implicitly by klh . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [19, 20]}} | {} | {} | 1510.04030 | 2 | 3 |
515 | easy | 515 | Since [MATH] by our assumption , it follows that [EQUATION] and therefore [MATH] are uniformly integrable . | It follows that [EQUATION] | {'0': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 6], 'sentence-2-token-indices': None}, '1': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [10, 17], 'sentence-2-token-indices': None}} | {} | {} | 1711.00427 | 2 | 3 |
516 | easy | 516 | The central energy of the Gaussian line is swept over 6.0 keV to 7.1 keV with a step of 0.1 keV . | The central energy of the Gaussian line is swept from 6.0 keV to 7.1 keV in steps of 0.1 keV . | {'0': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [9, 10], 'sentence-2-token-indices': [9, 10]}, '1': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [15, 18], 'sentence-2-token-indices': [15, 17]}} | {} | {} | 0812.3358 | 1 | 2 |
517 | easy | 517 | In this section we prove that the invariant manifold obtained in the last section has the asymptotic completeness property . | In this section we prove Theorem [REF] , by showing that the invariant manifold obtained in the last section has the almost sure asymptotic completeness property . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [5, 10]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [21, 23]}} | {} | {} | math-0607050 | 1 | 2 |
518 | easy | 518 | Suppose that during MCMC we would like to exchange information between a pair of chains ( typically of consecutive temperatures in the ladder ) [MATH] and [MATH] where [MATH] and [MATH] are [MATH] -dimensional vectors that indicate the current states of these chains . | Suppose that during MCMC we would like to exchange information between a pair of chains [MATH] and [MATH] where [MATH] and [MATH] are [MATH] -dimensional vectors that indicate the current states of these chains . | {'0': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [15, 24], 'sentence-2-token-indices': None}} | {} | {} | 1703.08520 | 1 | 2 |
519 | easy | 519 | Since we are dealing with a self-modifying parser , we would run into problems if the parser were to backtrack , from [MATH] to [MATH] -not insurmountable problems , to be sure , but we will find a satisfactory non-backtracking method of parsing that does not have these problems . | Since we are dealing with a self-modifying parser , we would run into problems if the parser were to backtrack from [MATH] to [MATH] -not insurmountable problems , to be sure , but we will find a satisfactory non-backtracking method of parsing that does not have these problems . | {'0': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [20, 21], 'sentence-2-token-indices': None}} | {} | {} | cs-0605104 | 1 | 2 |
520 | easy | 520 | Recently , there has been a proliferation of sensors that monitor diverse kinds of real-time data . | Recently , there has been a proliferation of sensors that monitor diverse kinds of real-time data representing time-series behaviors or signals generated by systems and devices that are monitored through such sensors . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [16, 32]}} | {} | {} | 1802.08924 | 1 | 2 |
521 | easy | 521 | Remarkably , important features of Anderson localization , such as the existence of a metallic phase and the qualitative characteristics of the Anderson transition , depend only on the dimensionality and the symmetries of the system , in close analogy to conventional continuous phase transitions . | Remarkably , important features of Anderson localization , such as the existence of a metallic phase and the qualitative characteristics of the Anderson transition , depend on the dimensionality and the symmetries of the system , in close analogy to conventional continuous phase transitions . | {'0': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [26, 27], 'sentence-2-token-indices': None}} | {} | {} | 1508.04284 | 1 | 2 |
522 | easy | 522 | The corresponding values of [MATH] and [MATH] are given in terms of the scale of colour shown on the right of every plot . | The corresponding values of [MATH] and [MATH] are given in terms of the colour scale shown on the right of every plot . | {'0': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [13, 16], 'sentence-2-token-indices': [13, 15]}} | {} | {} | 1510.04030 | 2 | 3 |
523 | easy | 523 | Again , both the the thermal fluctuations of the substrate and that of the environment contribute to the boundary-dependent energy shift of the atom out of thermal equilibrium , but now their contributions are of the same order and all proportional to [MATH] . | Again , the thermal fluctuations of both the substrate and that of the environment contribute to the boundary-dependent energy shift of the atom out of thermal equilibrium , but now their contributions are of the same order and are all proportional to [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [38, 39]}, '1': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [3, 4], 'sentence-2-token-indices': None}} | {} | {} | 1408.4517 | 1 | 2 |
524 | easy | 524 | Again , it can be seen that numerical errors are clearly not playing a large part . | Again , it can be seen that numerical errors are not playing a large part . | {'0': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [10, 11], 'sentence-2-token-indices': None}} | {} | {} | 1007.1599 | 1 | 2 |
525 | easy | 525 | The transmission function [MATH] should be selected so that [MATH] is [MATH] - distributed , and is a fixed function of some random variable [MATH] satisfying properties [MATH] and [MATH] . | The transmission function [MATH] should be selected so that [MATH] is [MATH] -distributed , and is a fixed function of some random variable [MATH] satisfying properties [MATH] and [MATH] . | {'0': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [12, 14], 'sentence-2-token-indices': [12, 13]}} | {} | {} | 1204.4249 | 1 | 2 |
526 | easy | 526 | We abuse the notation [MATH] to mean both the intersection and the winding number of the intersection , so the left-hand Eq. ( [REF] ) should be read as stating that there are equally many positive points as negative points in the total intersection . | We abuse the notation [MATH] to mean both the intersection and the winding number of the intersection , so the left-hand side of Eq. ( [REF] ) should be read as stating that there are equally many positive points as negative points in the total intersection . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [21, 23]}} | {} | {} | 1211.4024 | 2 | 3 |
527 | easy | 527 | [MATH] corresponds to the nuclear structure factor [MATH] where [MATH] is given for instance by Eq. ( 12 ) of Croft et al [CITATION] or Eq. [REF] below . | [MATH] corresponds to the nuclear structure factor [MATH] where [MATH] is given for instance by Eq. ( 12 ) in [CITATION] . | {'0': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [20, 23], 'sentence-2-token-indices': None}, '1': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [24, 28], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [19, 20], 'sentence-2-token-indices': [19, 20]}} | {} | {} | 1710.08173 | 2 | 3 |
528 | easy | 528 | We compute the Gaussian Mixture Model ( GMM ) on the probability distribution [MATH] and model our probability with non-root factors as following : [EQUATION] | We compute the Gaussian Mixture Model ( GMM ) on the probability distribution [MATH] and model our probability with non-root factors as follows : [EQUATION] where [MATH] is the normalization factor , [MATH] is the feature function , and [MATH] and [MATH] are the log-linearization of the feature function . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [25, 50]}, '1': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [22, 23], 'sentence-2-token-indices': [22, 23]}} | {} | {} | 1707.02387 | 2 | 3 |
529 | easy | 529 | Taking Lemma [REF] and ( [REF] ) into account , we have [EQUATION] and [EQUATION] . | Taking Lemma [REF] and ( [REF] ) into account with [MATH] , we have [EQUATION] and [EQUATION] . | {'0': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [9, 11]}} | {} | {} | 1312.0576 | 1 | 2 |
530 | easy | 530 | The current shifts significantly the resonant configuration for the bottom and surface wavenumbers . | The current imposed here shifts significantly the resonant configuration for the bottom and surface wavenumbers . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [2, 4]}} | {} | {} | physics-0510150 | 1 | 2 |
531 | easy | 531 | Due to asymptotic freedom , the coupling of strong interactions decreases when the energy of the process increases . | As a consequence of asymptotic freedom , the coupling of strong interactions decreases when the energy of the process increases . | {'0': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [0, 2], 'sentence-2-token-indices': [0, 4]}} | {} | {} | 1301.4457 | 2 | 3 |
532 | easy | 532 | We find that it will be challenging to detect cluster gamma-ray emission with Fermi after the first year but this mission has the potential of constraining interesting values of the shock acceleration efficiency after several years of surveying . | We find that it will be challenging to detect cluster [MATH] -ray emission with Fermi after the second year but this mission has the potential of constraining interesting values of the shock acceleration efficiency after several years of surveying . | {'0': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [10, 11], 'sentence-2-token-indices': [10, 12]}, '1': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [16, 17], 'sentence-2-token-indices': [17, 18]}} | {} | {} | 1001.5023 | 1 | 2 |
533 | easy | 533 | The resolution of the 3-dimensional coordinate table which moves the sensor is 0.01 mm . | The resolution of the CMM which moves the sensor is 0.01 mm . | {'0': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [4, 7], 'sentence-2-token-indices': [4, 5]}} | {} | {} | 0907.5490 | 1 | 2 |
534 | easy | 534 | Let us first consider the binding energy in order to determine which channel can form bound state and calculate the spectra of the chiral partners . | Let us first consider the binding energy in order to determine which channel can form the bound state and calculate the spectra of the chiral partners . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [15, 16]}} | {} | {} | 1212.5079 | 1 | 2 |
535 | easy | 535 | In the linear case , [MATH] , [MATH] is a Gaussian process , which for fixed [MATH] has white noise statistics with independent components of unit strength as required by [MATH] . | In the linear case , [MATH] , [MATH] is a Gaussian process , which for fixed [MATH] has white noise statistics with independent components of unit strength , as imposed by [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [27, 28]}, '1': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [28, 29], 'sentence-2-token-indices': [29, 30]}} | {} | {} | 1305.1209 | 1 | 2 |
536 | easy | 536 | We will show that the greedy learning objective can be solved with an alternative optimization algorithm , which permits decoupling the computations and achieving update unlocking . | We will show that the greedy learning objective used in these papers can be solved with an alternative optimization algorithm , which permits decoupling the computations and achieves update unlocking . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [8, 12]}, '1': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [23, 24], 'sentence-2-token-indices': [27, 28]}} | {} | {} | 1901.08164 | 1 | 2 |
537 | easy | 537 | Second , the average value of the vacuum energy density decays as [MATH] and the average value of the Hubble parameter as [MATH] , whereas the average scale parameter increases as [MATH] . | Second , the average value of the vacuum energy density decays as [MATH] and the average value of the Hubble parameter as [MATH] , while the average scale parameter increases as [MATH] . | {'0': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [24, 25], 'sentence-2-token-indices': [24, 25]}} | {} | {} | 0806.2805 | 1 | 2 |
538 | easy | 538 | The reflected field is mixed on two photodiodes with a 10-mW local oscillator derived from the incident beam . | The reflected field is mixed with a 10-mW local oscillator and a servoloop monitors the length of the local oscillator arm so that we measure the phase fluctuations of the reflected field . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [10, 32]}, '1': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [5, 8], 'sentence-2-token-indices': None}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [13, 18], 'sentence-2-token-indices': None}} | {} | {} | quant-ph-9903094 | 1 | 2 |
539 | easy | 539 | In [CITATION] , NOMA is considered in a VLC scenario and the performance is compared with orthogonal frequency division multiple acces ( OFDMA ) scheme . | In [CITATION] , NOMA is considered in a VLC scenario where the respective performance is compared to that of the orthogonal frequency division multiple access ( OFDMA ) scheme . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [12, 13]}, '1': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [10, 11], 'sentence-2-token-indices': [10, 11]}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [15, 16], 'sentence-2-token-indices': [16, 20]}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [20, 21], 'sentence-2-token-indices': [24, 25]}} | {} | {} | 1801.04888 | 1 | 2 |
540 | hard | 540 | Indeed , few studies have tackled this subject with different approaches [CITATION] uncovering a rich phenomenology . | Indeed , only a few studies have tackled this subject , and each with a different approach [CITATION] . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [2, 4]}, '1': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [10, 13]}, '2': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [14, 15]}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [12, 16], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [10, 11], 'sentence-2-token-indices': [16, 17]}} | {} | {} | 1404.1006 | 1 | 2 |
541 | hard | 541 | Our approach is shown to match or exceed state of the art approaches addressing these problems and shown able to scale to much large datasets than others . | This work matches or exceeds state-of-the-art approaches addressing these problems and is able to scale to much large datasets than others . | {'0': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [0, 2], 'sentence-2-token-indices': [0, 2]}, '1': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [2, 6], 'sentence-2-token-indices': [2, 3]}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': [4, 5]}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 12], 'sentence-2-token-indices': [5, 6]}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [17, 18], 'sentence-2-token-indices': [11, 12]}} | {} | {} | 1901.08164 | 1 | 2 |
542 | hard | 542 | More specifically , the nuclear structure factor for ( 01L ) reflections can be written as , [EQUATION] where [MATH] is a sum of neutron coherent scattering length of the various atoms ( Y , Ba , Cu , O ) already present in the parent tetragonal compound , YBa [MATH] Cu [MATH] O [MATH] . | As an attempt to describe this experimental situation , the nuclear structure factor for the ( 0KL ) reflections can be approximated by , [EQUATION] where [MATH] is a sum of neutron coherent scattering length of the various atoms ( Y , Ba , Cu , O ) already present in the parent compound , YBa [MATH] Cu [MATH] O [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [14, 15]}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [46, 47], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [9, 10], 'sentence-2-token-indices': [16, 17]}, '3': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [14, 16], 'sentence-2-token-indices': [21, 23]}, '4': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [0, 2], 'sentence-2-token-indices': [0, 8]}} | {} | {} | 1710.08173 | 1 | 2 |
543 | hard | 543 | Small parts in the East are slower , with 95 kms [MATH] , while a tip in the Northwest is faster , around 105 kms [MATH] . | Small parts in the east are slower at 95 kms [MATH] , while a tip in the northwest is faster with velocities around 105 kms [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [20, 22]}, '1': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': None}, '2': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [21, 22], 'sentence-2-token-indices': None}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [4, 5], 'sentence-2-token-indices': [4, 5]}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [18, 19], 'sentence-2-token-indices': [17, 18]}, '5': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [7, 8]}} | {} | {} | 1308.6112 | 1 | 2 |
544 | hard | 544 | For the RNN component in our system , we use a 3-layers LSTM network for ECSGA and 2-layers LSTM network for ATIS , they are all with unit size 100 . | For the RNN component in our system , we use a 3-layers BiLSTM networks for ECSA and 2-layers BiLSTM networks for ATIS ( no named entity tagging in this case ) , and all LSTM networks come with hidden state size 100 . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [22, 31]}, '1': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [32, 33]}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [12, 14], 'sentence-2-token-indices': [12, 14]}, '3': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [15, 16], 'sentence-2-token-indices': [15, 16]}, '4': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [18, 20], 'sentence-2-token-indices': [18, 20]}, '5': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [27, 28], 'sentence-2-token-indices': [38, 40]}, '6': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [23, 26], 'sentence-2-token-indices': [33, 37]}} | {} | {} | 1803.11326 | 2 | 3 |
545 | hard | 545 | To automate these experiments , we created AdFisher , a tool that automates randomized , controlled experiments for learning about online tracking . | To conduct these studies , we developed AdFisher , a tool for automating randomized , controlled experiments for studying online tracking . | {'0': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [1, 2], 'sentence-2-token-indices': [1, 2]}, '1': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [6, 7], 'sentence-2-token-indices': [6, 7]}, '2': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [11, 13], 'sentence-2-token-indices': [11, 13]}, '3': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [18, 20], 'sentence-2-token-indices': [18, 19]}, '4': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [3, 4], 'sentence-2-token-indices': [3, 4]}} | {} | {} | 1408.6491 | 1 | 2 |
546 | hard | 546 | We use the previous Plastic Surgery approach , proposed by Barr et al. [CITATION] , as a comparison baseline and examine the effectiveness of our NMT-based technique . | We use the pattern-based patch suggestion inspired by the Plastic Surgery work [CITATION] , as a comparison baseline and examine the effectiveness of our NMT-based technique . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [3, 6]}, '1': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [8, 9]}, '2': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [3, 4], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [10, 13], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [6, 7], 'sentence-2-token-indices': [11, 12]}, '6': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [6, 7]}} | {} | {} | 1812.07170 | 1 | 2 |
547 | easy | 547 | Mostly we would update each chain independently , but occasionally exchange information between the chains . | Each chain is updated independently , with occasional information exchange between the chains so that more substantial movement in the higher temperature chains can filter down to the slower moving low temperature chains . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [13, 33]}, '1': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 2], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [2, 4], 'sentence-2-token-indices': [2, 4]}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 10], 'sentence-2-token-indices': [6, 8]}} | {} | {} | 1703.08520 | 1 | 2 |
548 | hard | 548 | We show that the differential relative absorption of the probe radiation , see Fig. [REF] , contains a certain quantum information about initial superposition states encoded in [MATH] . | We explicitly show that the differential relative absorption of the probe radiation given by Eq. ( [REF] ) and shown in Fig. [REF] contains a response from the initial superposition states encoded in [MATH] , [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [27, 28]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [1, 2]}, '2': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [34, 36]}, '3': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [12, 18]}, '4': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [15, 16], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [11, 13], 'sentence-2-token-indices': [18, 21]}, '6': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [18, 22], 'sentence-2-token-indices': [25, 27]}} | {} | {} | 1703.02280 | 1 | 2 |
549 | hard | 549 | A step into this direction was initiated by Hardy in his program of merging the theory of general relativity with quantum theory [CITATION] , by proposing to extend quantum theory to dynamical causal structures . | A step in this direction was taken by Hardy with his program of merging general relativity with quantum theory [CITATION] , in which he proposes to extend the latter to dynamical causal structures , a feature of general relativity ( see [CITATION] for a recent review on quantum theory and causality ) . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [33, 52]}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [14, 17], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [2, 3], 'sentence-2-token-indices': [2, 3]}, '3': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [6, 7], 'sentence-2-token-indices': [6, 7]}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [9, 10], 'sentence-2-token-indices': [9, 10]}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [24, 26], 'sentence-2-token-indices': [21, 25]}, '6': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [28, 30], 'sentence-2-token-indices': [27, 29]}} | {} | {} | 1403.7333 | 1 | 2 |
550 | hard | 550 | [CITATION] , however , used synthetic magnetograms extracted from MHD simulations , in which the true flows are known , to show that optical flow methods essentially estimate the horizontal velocity , [MATH] , although these estimates can be affected by vertical flows . | Using the same test data , [CITATION] subsequently argued that optical flow methods , such as LCT , essentially estimate the horizontal velocity , [MATH] , although their estimates can be affected by vertical flows | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 6]}, '1': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [7, 8]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [13, 18]}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [1, 21], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [43, 44], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [21, 22], 'sentence-2-token-indices': [8, 9]}, '6': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [35, 36], 'sentence-2-token-indices': [27, 28]}} | {} | {} | 1402.4794 | 2 | 3 |
551 | hard | 551 | To highlight the first advantage , we first have to discuss the shortcomings when growing complicated structures directly on top of graphene . | First , we discuss several shortcomings when growing electrode material directly onto the graphene surface . | {'0': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [0, 5], 'sentence-2-token-indices': None}, '1': {'type': 'Deletion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [8, 10], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [11, 12], 'sentence-2-token-indices': [4, 5]}, '3': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [15, 17], 'sentence-2-token-indices': [8, 10]}, '4': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [18, 22], 'sentence-2-token-indices': [11, 15]}} | {} | {} | 1503.01735 | 1 | 2 |
552 | hard | 552 | By contrast , those algorithms that require full gradient evaluations either incur an extra communication cost for synchronization or incur an extra computational cost for the asynchronous version to converge ; see , e.g. , [CITATION] . | By contrast , those algorithms that require full gradients evaluation either need extra communication for synchronization or need extra computational cost for the asynchronous version to converge ; See e.g. [CITATION] . | {'0': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [34, 35], 'sentence-2-token-indices': None}, '1': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [20, 21], 'sentence-2-token-indices': None}, '2': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [15, 16], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [12, 13], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [32, 33], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 10], 'sentence-2-token-indices': [8, 10]}, '6': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [31, 32], 'sentence-2-token-indices': [28, 29]}, '7': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [19, 20], 'sentence-2-token-indices': [17, 18]}, '8': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [11, 12], 'sentence-2-token-indices': [11, 12]}} | {} | {} | 1609.03261 | 2 | 3 |
553 | hard | 553 | Because the same holds for two parties , it was conjectured that also in the multi-party setting , a predefined causal order emerges in that limit . | It was shown for the two-party case , however , that a global causal structure always emerges in the macroscopic limit . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [8, 11]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [15, 16]}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 8], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [11, 13], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [10, 11], 'sentence-2-token-indices': [2, 3]}, '5': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [13, 17], 'sentence-2-token-indices': [3, 7]}, '6': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [19, 22], 'sentence-2-token-indices': [12, 15]}, '7': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [24, 25], 'sentence-2-token-indices': [18, 20]}} | {} | {} | 1403.7333 | 1 | 2 |
554 | hard | 554 | It is remarkable that this agreement is achieved in a limit where the conductance on the scale of the period of the network , [MATH] , is of the order of the quantum conductance , in contrast with metallic wires where the number of channels is of order 1000 . | In contrast , metallic wires deep in the diffusive regime have a number of conducting channels of order 1000 and [MATH] is always fulfilled . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [14, 15]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [19, 24]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [5, 10]}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 35], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [45, 46], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [40, 42], 'sentence-2-token-indices': [10, 12]}, '6': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [37, 38], 'sentence-2-token-indices': [2, 3]}} | {} | {} | cond-mat-0402534 | 1 | 2 |
555 | hard | 555 | In order to demonstrate the benefit of the adaptive method that can incrementally update the weights unlike previous methods we evaluate on iPASCAL for continuous semantic segmentation . | Section [REF] demonstrates the benefit of AMP in the context of continuous semantic segmentation on the proposed incremental PASCAL VOC evaluation framework , iPASCAL . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 2]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [7, 11]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [14, 24]}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 3], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [10, 24], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [3, 4], 'sentence-2-token-indices': [2, 3]}, '6': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [7, 10], 'sentence-2-token-indices': [6, 7]}} | {} | {} | 1902.11123 | 3 | 4 |
556 | hard | 556 | We observe that the time variation of [MATH] is nearly periodic and identical for the active and inactive oscillators . | We observe that the time variations of [MATH] , [MATH] and [MATH] are nearly periodic and identical for the active , initially inactive and the full set of oscillators . | {'0': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [8, 12]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [20, 22]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [24, 28]}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [5, 6], 'sentence-2-token-indices': [5, 6]}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [12, 13]}} | {} | {} | 1710.09608 | 1 | 2 |
557 | hard | 557 | We can also derive an emitter size constraint , imposing a maximum expansion speed of c ( light speed ) , and the Hillas criterion , in which the minimum size of the source capable of accelerating particles to the given energy [MATH] is [MATH] ( where [MATH] cm ) , the Larmor radius . | We can also derive a constraint on the size of the emission region , imposing a maximum expansion speed of [MATH] ( the speed of light ) , and the Hillas criterion , in which the minimum size of a source capable of accelerating particles to a given energy [MATH] is [MATH] ( where [MATH] cm ) , the Larmor radius . | {'0': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [4, 8], 'sentence-2-token-indices': [4, 13]}, '1': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [15, 16], 'sentence-2-token-indices': [20, 21]}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [32, 33], 'sentence-2-token-indices': [39, 40]}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [39, 40], 'sentence-2-token-indices': [46, 47]}, '4': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [17, 19], 'sentence-2-token-indices': [22, 26]}} | {} | {} | 0812.3358 | 1 | 2 |
558 | easy | 558 | Even more remarkably , we demonstrate that the WD survives the initial Ia event , receiving a large velocity kick from the asymmetric nature of the initial deflagration , and is significantly enriched with both intermediate-mass ( IME 's ) and iron-group elements ( IGE 's ) , forming a peculiar heavy/iron core WD . | Even more remarkably , the remnant WD receives a large velocity kick from the asymmetric nature of the deflagration , and is enriched with both intermediate-mass ( IME 's ) and iron-group elements ( IGE 's ) , forming a peculiar WD with a heavey/iron-rich core . | {'0': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [26, 27], 'sentence-2-token-indices': None}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [31, 32], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [4, 16], 'sentence-2-token-indices': [4, 8]}, '3': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [51, 54], 'sentence-2-token-indices': [41, 46]}} | {} | {} | 1208.5069 | 1 | 2 |
559 | hard | 559 | The exponentially small finite-volume corrections in Eq. ( [REF] ) are due to the dimer wavefunction wrapping once around the periodic boundary [CITATION] . | The topological factor [MATH] for the [MATH] -wave dimer wavefunction wrapping around the periodic boundary once is given by [CITATION] [EQUATION] where [EQUATION] accounts for the finite-volume energy shift of a dimer moving with center-of-mass momentum [MATH] in the fermion-dimer system [EQUATION] | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 5]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [6, 8]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [20, 26]}, '3': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [27, 42]}, '4': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 3], 'sentence-2-token-indices': None}, '5': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [4, 10], 'sentence-2-token-indices': None}, '6': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [23, 24], 'sentence-2-token-indices': None}, '7': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [10, 13], 'sentence-2-token-indices': [16, 19]}} | {} | {} | 1309.2616 | 1 | 2 |
560 | hard | 560 | Now , let [MATH] be the [MATH] th Lebesgue partition of [MATH] which is defined as : [MATH] and for [MATH] [EQUATION] | Next , we define the sequence of Lebesgue partitions generated by [MATH] as : [MATH] and for [MATH] [EQUATION] . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [2, 7]}, '1': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [19, 20]}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [2, 8], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [12, 15], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [0, 1], 'sentence-2-token-indices': [0, 1]}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [9, 11], 'sentence-2-token-indices': [8, 11]}} | {} | {} | 1807.05692 | 3 | 4 |
561 | hard | 561 | We have developed the study of the cross Kerr effect in the propagation of two pulses , named trigger and probe , in a medium of four-level atoms in the tripod configuration , dressed by a third strong field in the running- or imperfect standing-wave configuration . | We have presented a comprehensive study of the cross Kerr effect in the propagation of two weak laser fields , a trigger and a probe , in a medium of four-level atoms in the tripod configuration , dressed by a third strong coupling field in the quasi-standing wave configuration . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [23, 24]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [42, 43]}, '2': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [4, 5]}, '3': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [2, 4], 'sentence-2-token-indices': [2, 4]}, '4': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [15, 16], 'sentence-2-token-indices': [16, 19]}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [17, 18], 'sentence-2-token-indices': [20, 21]}, '6': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [41, 45], 'sentence-2-token-indices': [46, 48]}} | {} | {} | 1012.2247 | 1 | 2 |
562 | easy | 562 | A straightforward calculation shows that Bragg peak intensity in the ( 10L ) or ( 01L ) Bragg peaks cross-section varies considerably with the amount of actual oxygen atoms from x=6 ( tetragonal phase ) to x=7 ( orthorhombic phase with full Cu-O chain ) [CITATION] . | A straightforward calculation using Eq. [REF] shows that Bragg peak intensiies in the ( 01L ) and ( 006 ) Bragg peaks cross-section vary considerably with the amount of actual oxygen atoms from x=6 ( tetragonal phase ) to x=7 ( orthorhombic phase with full Cu-O chain ) [CITATION] . | {'0': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [3, 6]}, '1': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': [10, 11]}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [11, 16], 'sentence-2-token-indices': [14, 19]}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [20, 21], 'sentence-2-token-indices': [23, 24]}} | {} | {} | 1710.08173 | 1 | 2 |
563 | hard | 563 | So we just need to investigate the estimation of [MATH] in ( [REF] ) with [MATH] , [MATH] and [MATH] known . | Since estimations for [MATH] have been given by Huang et al. ( 2011 ) , we just need to found some suitable estimations of [MATH] with other parameters known . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 15]}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [0, 1], 'sentence-2-token-indices': None}, '2': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [10, 14], 'sentence-2-token-indices': None}, '3': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [5, 8], 'sentence-2-token-indices': [19, 23]}, '4': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [15, 20], 'sentence-2-token-indices': [26, 28]}} | {} | {} | 1310.4021 | 3 | 4 |
564 | hard | 564 | This means that the four-dimensional potential will exceed the tension of a D3-brane , opening the possibility for brane tunneling [CITATION] or nucleation [CITATION] via the Brown-Teitelboim mechanism . | However , the four-dimensional potential will be of order [MATH] , which exceeds the tension of a D3-brane by two orders of magnitude , opening the possibility for brane tunneling [CITATION] or nucleation [CITATION] . | {'0': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 2]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [18, 23]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [6, 12]}, '3': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [0, 3], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [24, 28], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': [12, 13]}} | {} | {} | 1211.4024 | 1 | 2 |
565 | hard | 565 | When we fine-tune the network with real images from Human3.6M ( Real+Synth ) , the segmentations look very similar to the ground truth and we outperform the baseline by a large margin . | When we fine-tune the network with real images from Human3.6M ( Synth+Real ) , the model predicts very accurate segmentations and outperforms the ' Real ' baseline by a large margin . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [23, 26]}, '1': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [24, 25], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [11, 12], 'sentence-2-token-indices': [11, 12]}, '3': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [15, 23], 'sentence-2-token-indices': [15, 20]}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [25, 26], 'sentence-2-token-indices': [21, 22]}} | {} | {} | 1701.01370 | 1 | 2 |
566 | easy | 566 | Construct the bootstrap test statistics by [EQUATION] where [MATH] if [MATH] is empty . | For every [MATH] , the bootstrapped test statistics is defined by [EQUATION] where [MATH] is [MATH] if [MATH] is empty . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 4]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [14, 16]}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [0, 1], 'sentence-2-token-indices': [8, 10]}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [2, 3], 'sentence-2-token-indices': [5, 6]}} | {} | {} | 1511.04162 | 1 | 2 |
567 | easy | 567 | We texture the body model with texture maps extracted from two types of real scans . | We use two types of real scans for the texture of body models . | {'0': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 10], 'sentence-2-token-indices': [1, 2]}, '1': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [1, 8], 'sentence-2-token-indices': [7, 13]}} | {} | {} | 1701.01370 | 1 | 2 |
568 | hard | 568 | Recent quantitative measurement of the collapse and explosion of BEC reported in Ref. [CITATION] motivated us to investigate the extent to which the mean-field theory explains the experimental observations . | The recent quantitative measurements on collapsing and exploding BEC reported in Ref. [CITATION] have motivated us to investigate to what extent mean-field theory can explain the experimental observations . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [13, 14]}, '1': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 1]}, '2': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [21, 23], 'sentence-2-token-indices': None}, '3': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [2, 9], 'sentence-2-token-indices': [3, 8]}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [18, 19], 'sentence-2-token-indices': [19, 20]}, '5': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [25, 26], 'sentence-2-token-indices': [23, 25]}} | {} | {} | cond-mat-0107248 | 1 | 2 |
569 | easy | 569 | It proposed a 2-branch architecture as well , where the second branch is responsible for learning prototypes that can aid the final segmentation task . | In this method , the second branch predicts the parameters for the final segmentation layer . | {'0': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 7], 'sentence-2-token-indices': None}, '1': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [12, 20], 'sentence-2-token-indices': [7, 11]}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [0, 3]}, '3': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [23, 24], 'sentence-2-token-indices': [14, 15]}} | {} | {} | 1902.11123 | 2 | 3 |
570 | easy | 570 | The branching ratios are in rough agreement with those quoted in PDG , but the total [MATH] three-level width is sizably smaller than the one referred in PDG which includes all decay channels . | The branching ratios are in agreement with those quoted in PDG for the [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [11, 14]}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [5, 6], 'sentence-2-token-indices': None}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [12, 33], 'sentence-2-token-indices': None}} | {} | {} | 1712.00969 | 1 | 2 |
571 | hard | 571 | In order to accelerate data acquisition while keeping the advantages of multiple activation coils , in this paper we use CS techniques where we use random as well as deterministic coil activation patterns . | In order to accelerate data acquisition and to improve imaging resolution , we use CS techniques and develop a Douglas-Rachford based sparse reconstruction algorithm . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [6, 11]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [16, 24]}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [6, 14], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [22, 33], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [15, 18], 'sentence-2-token-indices': None}} | {} | {} | 1805.01605 | 1 | 2 |
572 | easy | 572 | Nevertheless , for any set of gene trees , there are ranges of branch length where the null hypothesis is rejected for some branches in the range but not for others ( Fig. [REF] ) . | We introduced a new test for rejecting the null hypothesis that a branch in the species tree should be replaced by a polytomy . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 7]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [10, 23]}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 16], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [19, 35], 'sentence-2-token-indices': None}} | {} | {} | 1708.08916 | 3 | 4 |
573 | hard | 573 | In the next section , we will consider this compromise between limited feedback ( with lower computational burden and overhead ) and better user rates during the NOMA transmission . | In the subsequent sections , we consider this compromise between the limited-feedback ( with lower computational burden and overhead ) and the full CSI ( with better user rates ) mechanisms for the NOMA transmission . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [21, 26]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [29, 31]}, '2': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [6, 7], 'sentence-2-token-indices': None}, '3': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [2, 4], 'sentence-2-token-indices': [2, 4]}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [11, 13], 'sentence-2-token-indices': [10, 12]}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [25, 26], 'sentence-2-token-indices': [31, 32]}} | {} | {} | 1801.04888 | 1 | 2 |
574 | easy | 574 | A very interesting and deep study of the Odderon in gauge/string duality was presented in ref [CITATION] but without discussing its Regge trajectories . | Interesting studies of the Odderon in gauge/string dualities were presented in refs. [CITATION] . | {'0': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [17, 23], 'sentence-2-token-indices': None}, '1': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [0, 6], 'sentence-2-token-indices': [0, 2]}, '2': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [11, 13], 'sentence-2-token-indices': [7, 9]}, '3': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [15, 16], 'sentence-2-token-indices': [11, 12]}} | {} | {} | 1301.4457 | 1 | 2 |
575 | easy | 575 | To achieve slow-roll inflation , we will require the scalar field [MATH] to initially have a super-Planckian vev . | To achieve 60 e-folds of slow-roll inflation , we must arrange the scalar field [MATH] to initially have a super-Planckian vacuum expectation value , [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [2, 5]}, '1': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [23, 25]}, '2': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [6, 8], 'sentence-2-token-indices': [9, 11]}, '3': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [17, 18], 'sentence-2-token-indices': [20, 23]}} | {} | {} | 1211.4024 | 1 | 2 |
576 | hard | 576 | However , it seems to have characteristics of a soft polytomy ( decreasing [MATH] -value ) , which would have been resolved had we had more genes . | Even with the full dataset , a polytomy is not rejected , though the decreasing [MATH] -values point to the possibility that this relationship would have been resolved had we had more genes . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 14]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [17, 24]}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 12], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [15, 18], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [14, 15], 'sentence-2-token-indices': [16, 17]}} | {} | {} | 1708.08916 | 3 | 4 |
577 | hard | 577 | Modelling these processes is more complicated , and requires assumptions about the ionisation state , geometry , and metalicity of H [MATH] regions , and the dust mass , composition and geometry . | Modelling these processes is complicated , requiring assumptions about the ionization state , the geometry , the metalicity , the dust mass and the composition of H [MATH] regions . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [13, 14]}, '1': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [23, 24]}, '2': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [4, 5], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [24, 25], 'sentence-2-token-indices': None}, '5': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [30, 32], 'sentence-2-token-indices': None}, '6': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [6, 7]}, '7': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [12, 13], 'sentence-2-token-indices': [10, 11]}, '8': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [28, 29], 'sentence-2-token-indices': [22, 23]}, '9': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [17, 18], 'sentence-2-token-indices': [16, 17]}} | {} | {} | astro-ph-0210471 | 2 | 3 |
578 | hard | 578 | If we show the ground states masses in the initial and final channels by [MATH] and [MATH] , respectively , the quantities [MATH] and [MATH] are the energies needed to excite the initial and final particles to their first excited states with the same quantum numbers . | If the ground state masses are given by [MATH] and [MATH] for the initial and final channels , respectively , to excite the particle to the first excited state having the same quantum numbers with them one needs to provide the energies [MATH] and [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [22, 23]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [34, 37]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [39, 40]}, '3': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [20, 22], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [25, 26], 'sentence-2-token-indices': None}, '5': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [31, 35], 'sentence-2-token-indices': None}, '6': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [1, 3], 'sentence-2-token-indices': [5, 7]}, '7': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [5, 6], 'sentence-2-token-indices': [3, 4]}, '8': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': [11, 12]}, '9': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [28, 29], 'sentence-2-token-indices': [37, 39]}, '10': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [35, 36], 'sentence-2-token-indices': [23, 24]}, '11': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [37, 38], 'sentence-2-token-indices': [25, 26]}, '12': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [41, 42], 'sentence-2-token-indices': [29, 30]}, '13': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [40, 41], 'sentence-2-token-indices': [28, 29]}} | {} | {} | 1501.05084 | 1 | 2 |
579 | hard | 579 | Negative Coulomb drag is also observed in two regimes : one at low electronic density when the drag wire is depleted , and one at higher electronic density when the drag wire has more than a single one-dimensional subband occupied . | In addition , negative Coulomb drag is observed in two clearly distinct regimes : one at low electronic density when the drag wire is close to or beyond depletion , and one at higher electronic density when [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 3]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [10, 12]}, '2': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [37, 38]}, '3': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [4, 5], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [29, 40], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [20, 21], 'sentence-2-token-indices': [24, 29]}} | {} | {} | 1008.5155 | 2 | 3 |
580 | easy | 580 | Although the definition of [MATH] contains self-coupling terms for all the nine gluons , the Abelian gluon contribution drops out in the sum . | Although the definition of the covariant tensor [REF] contains self-coupling terms for [MATH] gluons , the Abelian gluon contribution actually drops out in the sum . | {'0': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [19, 20]}, '1': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [4, 5], 'sentence-2-token-indices': [4, 8]}, '2': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [9, 12], 'sentence-2-token-indices': [12, 13]}} | {} | {} | 1010.0748 | 1 | 2 |
581 | hard | 581 | In the best fit where this has an exponentially decaying form [MATH] , the dipole [MATH] is larger than the monopole [MATH] and its scale parameter is [MATH] suggesting that the bulk flow extends out to far larger redshift than is expected in a [MATH] CDM universe . | In the best fit where this has an exponentially decaying form [MATH] , the dipole [MATH] is much larger than the monopole [MATH] and its scale parameter is [MATH] indicating that the impact of the bulk flow dominates over any isotropic acceleration out to [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [17, 18]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [32, 35]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [38, 42]}, '3': {'type': 'Deletion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [36, 44], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [45, 47], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [28, 29], 'sentence-2-token-indices': [29, 30]}, '6': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [33, 34], 'sentence-2-token-indices': [37, 38]}} | {} | {} | 1808.04597 | 2 | 3 |
582 | easy | 582 | We compare the DGL method to others , showing it is a state-of-the-art solution for decoupling training of deep network modules . | We conduct experiments that empirically show that DGL optimizes the greedy objective well , showing it is favorable against recent state-of-the-art proposals for decoupling training of deep network modules . | {'0': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [1, 7], 'sentence-2-token-indices': [1, 13]}, '1': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [13, 14], 'sentence-2-token-indices': [21, 22]}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [11, 12], 'sentence-2-token-indices': [17, 20]}} | {} | {} | 1901.08164 | 1 | 2 |
583 | easy | 583 | Since vertices in [MATH] all have voltage [MATH] , we can write the above linear equation into [EQUATION] where ( [REF] ) leads to [EQUATION] | Since vertices in [MATH] all have voltage [MATH] , we can restrict this equation to vertices in [MATH] as [MATH] , which leads to [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [25, 26]}, '1': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [24, 25], 'sentence-2-token-indices': [24, 25]}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [11, 22], 'sentence-2-token-indices': [11, 22]}} | {} | {} | 1802.02556 | 1 | 2 |
584 | hard | 584 | The usual GP equation describes the unitary evolution of the macroscopic wave function [MATH] , and the number of atoms [MATH] is conserved . | The GP equation describes unitary time evolution of a macroscopic " wave function " [MATH] , and conserves the total number of atoms [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [10, 11]}, '1': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [13, 14]}, '2': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [19, 20]}, '3': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [5, 6]}, '4': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [1, 2], 'sentence-2-token-indices': None}, '5': {'type': 'Deletion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [5, 6], 'sentence-2-token-indices': None}, '6': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [9, 10], 'sentence-2-token-indices': [8, 9]}, '7': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [21, 23], 'sentence-2-token-indices': [17, 18]}} | {} | {} | cond-mat-0107248 | 1 | 2 |
585 | easy | 585 | The same vev also induces the mixing between the RHN [MATH] and light neutrino [MATH] and corresponding mixing angle is given by [EQUATION] which leads to [MATH] decay to SM gauge bosons . | The same vev also instigates the mixing between the right-handed neutrino [MATH] and left-handed neutrino [MATH] and corresponding mixing angle is given by [EQUATION] which leads to [MATH] decay to SM gauge bosons and leptons . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [33, 35]}, '1': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [4, 5], 'sentence-2-token-indices': [4, 5]}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [12, 13], 'sentence-2-token-indices': [13, 14]}, '3': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [9, 10], 'sentence-2-token-indices': [9, 11]}} | {} | {} | 1511.03842 | 1 | 2 |
586 | easy | 586 | Next , we study loop- or shell-like motifs of cliques using a recently developed method from algebraic topology called persistent homology , which detects the presence and robustness of cycles , or topological cavities in the network architecture . | Next , we study topological cavities using a recently developed method from algebraic topology , which detects the presence and robustness , summarized by a quantity called persistence ) , of shell-like motifs of cliques called cycles in the network architecture . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [21, 26]}, '1': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [29, 32], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [4, 10], 'sentence-2-token-indices': [31, 37]}, '3': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [19, 21], 'sentence-2-token-indices': [27, 30]}} | {} | {} | 1608.03520 | 1 | 2 |
587 | easy | 587 | The number of points is [MATH] , and [MATH] are used as a training set while the rest are used for test . | The number of points we generate is [MATH] , of which [MATH] are reserved for test and [MATH] of the remaining training set was reserved for validation . | {'0': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [4, 6]}, '1': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [7, 22], 'sentence-2-token-indices': [9, 27]}} | {} | {} | 1810.04247 | 2 | 3 |
588 | easy | 588 | Searching strategy for SUSY strongly depends on the lightest supersymetric particle ( LSP ) , as well as R-parity conservation or violation [CITATION] . | The sneutrino can be considered as another candidate for the LSP [CITATION] , as well as R-parity conservation or violation [CITATION] . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 12]}, '1': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 14], 'sentence-2-token-indices': None}} | {} | {} | 1206.6958 | 1 | 2 |
589 | easy | 589 | Furthermore , the three-body continuum states introduce a small additional error to the calculation of the two-body energy levels . | Our initial two-body cluster states [MATH] will have only a very small overlap with the three-body continuum states . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 14]}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [0, 2], 'sentence-2-token-indices': None}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [6, 19], 'sentence-2-token-indices': None}} | {} | {} | 1309.2616 | 1 | 2 |
590 | hard | 590 | We treat the rows of [MATH] independently , so denoting the transition probability for chain [MATH] by [MATH] , i.e. [EQUATION] we can express [MATH] as follows [EQUATION] . | By denoting the overall transition probability [MATH] for chain [MATH] by [MATH] , we can express [MATH] in terms of [MATH] as follows [MATH] where [EQUATION] . | {'0': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [23, 25]}, '1': {'type': 'Insertion', 'intention': 'Format', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [6, 7]}, '2': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [3, 4]}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 8], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Format', 'sentence-1-token-indices': [20, 21], 'sentence-2-token-indices': [20, 21]}, '5': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [19, 20], 'sentence-2-token-indices': [17, 20]}, '6': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [0, 1]}} | {} | {} | 1703.08520 | 1 | 2 |
591 | hard | 591 | However , comparing with the schemes of Ref. [CITATION] , our scheme can endure uncooperation of one of supervisors . | In contrast , our scheme can endure the loss of the measurement information of one of the supervisors ( Bob and Charlie ) . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [16, 17]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [18, 23]}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [2, 9], 'sentence-2-token-indices': None}, '3': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [14, 15], 'sentence-2-token-indices': [7, 13]}, '4': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [0, 2], 'sentence-2-token-indices': [0, 2]}} | {} | {} | 0906.0826 | 1 | 2 |
592 | easy | 592 | One can show that the first non vanishing contribution , for rapidly decreasing derivatives of [MATH] , comes from the third order expansion , which results in [EQUATION] where we have used ( [REF] ) to leading order in [MATH] to recognize the factor [MATH] . | If [MATH] and its derivatives are rapidly decreasing functions , one can show that the first non vanishing contribution to [MATH] comes from the third order expansion , which results in [EQUATION] where we have used ( [REF] ) to leading order in [MATH] to recognize the factor [MATH] . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 10]}, '1': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [9, 17], 'sentence-2-token-indices': [19, 21]}} | {} | {} | 0807.2194 | 1 | 2 |
593 | hard | 593 | An appropriate method for this was to regard it as an example of the exact cover problem : covering each of the [MATH] unit subsquares by selecting from all possible smaller squares without overlap . | This was tackled as an exact cover problem : covering each of the [MATH] unit subsquares by selecting from all possible smaller subsquares without overlap , using Knuth 's Dancing Links X algorithm [CITATION] . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [25, 34]}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [0, 4], 'sentence-2-token-indices': None}, '2': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [11, 14], 'sentence-2-token-indices': None}, '3': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [6, 9], 'sentence-2-token-indices': [2, 3]}, '4': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [31, 32], 'sentence-2-token-indices': [22, 23]}} | {} | {} | 1308.5420 | 1 | 2 |
594 | easy | 594 | For the inference phase , we use obscured face and a clear face as inputs to the two mapping functions , [MATH] and [MATH] and compare the [MATH] distance given the predefined threshold value to determine if the two faces come from the same person or not . | Therefore , by comparing the distance of the latent vectors , we can determine if the two faces are from the same person or not . | {'0': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 1]}, '1': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [0, 4], 'sentence-2-token-indices': None}, '2': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [40, 41], 'sentence-2-token-indices': [18, 19]}, '3': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [5, 35], 'sentence-2-token-indices': [2, 13]}} | {} | {} | 1905.05243 | 1 | 2 |
595 | hard | 595 | Table [REF] shows the benefit from our proposed method , it outperforms fine-tuning using randomly generated weights with 11.7 . | First , AMP clearly outperforms naive fine-tuning using randomly generated weights by 11.6 . | {'0': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 1]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [3, 4]}, '2': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [5, 6]}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [0, 9], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [10, 11], 'sentence-2-token-indices': [2, 3]}, '5': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [17, 19], 'sentence-2-token-indices': [11, 13]}} | {} | {} | 1902.11123 | 3 | 4 |
596 | hard | 596 | We report that the sparse image compression provides qualitatively superior visual quality of reconstructed images and higher classification accuracy when processed through the TensorFlow 's CIFAR-10 DCNN classifier [ 11 ] , whereas bottleneck autoencoders yield superior compression as measured by pixel-wise metrics such as PSNR and SSIM . | We report that sparse coding with random dropout masks produces subjectively superior reconstructed images along with lower feature perceptual loss and higher classification accuracy but yields lower values of pixel-wise metrics such as PSNR and SSIM compared to the bottleneck autoencoders . | {'0': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [5, 9]}, '1': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [14, 20]}, '2': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [10, 13], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [19, 32], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [3, 7], 'sentence-2-token-indices': [3, 5]}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': [9, 10]}, '6': {'type': 'Substitute', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': [10, 11]}, '7': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [32, 33], 'sentence-2-token-indices': [24, 25]}, '8': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [35, 39], 'sentence-2-token-indices': [25, 29]}, '9': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [39, 41], 'sentence-2-token-indices': [36, 39]}} | {} | {} | 1710.09926 | 1 | 2 |
597 | hard | 597 | We find low inertial ( high inertial ) particles have a positive ( negative ) [MATH] in the inner flow and a negative ( positive ) [MATH] in the outer flow . | Correspondingly , we find that low inertia particles have a positive [MATH] in the inner flow and a negative [MATH] in the outer flow , which is opposite to high inertia particles . | {'0': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [0, 2]}, '1': {'type': 'Insertion', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [4, 5]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [24, 29]}, '3': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [31, 32]}, '4': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [4, 5], 'sentence-2-token-indices': None}, '5': {'type': 'Deletion', 'intention': 'Format', 'sentence-1-token-indices': [7, 8], 'sentence-2-token-indices': None}, '6': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [12, 15], 'sentence-2-token-indices': None}, '7': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [23, 26], 'sentence-2-token-indices': None}, '8': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [3, 4], 'sentence-2-token-indices': [6, 7]}, '9': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [6, 7], 'sentence-2-token-indices': [30, 31]}} | {} | {} | 1811.04339 | 1 | 2 |
598 | hard | 598 | Already , proof-of-concept hacks in 2015 and 2016 have demonstrated the ability to remotely control the brakes , acceleration , steering , transmission , locks , stereo , and windshield wipers of a targeted vehicle by exploiting weaknesses including the internet-connected entertainment console [CITATION] . | For example , proof-of-concept hacks in 2015 and 2016 demonstrated the ability to remotely control an Internet-connected vehicle , including the brakes , acceleration , and steering [CITATION] . | {'0': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [18, 20]}, '1': {'type': 'Insertion', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [25, 26]}, '2': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [21, 32], 'sentence-2-token-indices': None}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [35, 43], 'sentence-2-token-indices': None}, '4': {'type': 'Deletion', 'intention': 'Lang-improve-readability-Simplify', 'sentence-1-token-indices': [8, 9], 'sentence-2-token-indices': None}, '5': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [0, 1], 'sentence-2-token-indices': [0, 2]}, '6': {'type': 'Substitute', 'intention': 'Content', 'sentence-1-token-indices': [32, 34], 'sentence-2-token-indices': [15, 17]}} | {} | {} | 1708.03791 | 1 | 2 |
599 | hard | 599 | We found in Ref. [CITATION] that various patterns in the atomic density are formed in the collapse due to the switch of the interaction from repulsive to attractive , where we used [MATH] as an example . | We found in Ref. [CITATION] that various patterns in the atomic density are formed in the collapse processes caused by a sudden switch of interactions from repulsive to attractive , the origin of the pattern formation being attributed to the self-focusing effect of the attractive systems . | {'0': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [17, 18]}, '1': {'type': 'Insertion', 'intention': 'Lang-accurate-spefific', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [21, 22]}, '2': {'type': 'Insertion', 'intention': 'Content', 'sentence-1-token-indices': None, 'sentence-2-token-indices': [30, 46]}, '3': {'type': 'Deletion', 'intention': 'Content', 'sentence-1-token-indices': [29, 36], 'sentence-2-token-indices': None}, '4': {'type': 'Substitute', 'intention': 'Lang-professional-Improve-style', 'sentence-1-token-indices': [17, 20], 'sentence-2-token-indices': [18, 21]}, '5': {'type': 'Substitute', 'intention': 'Improve-grammar-Typo', 'sentence-1-token-indices': [22, 24], 'sentence-2-token-indices': [24, 25]}} | {} | {} | cond-mat-0107248 | 1 | 2 |