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Deployed model of extremal system operation for solving optimal management problems

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Paper breakdownThe authors' claims, conditions and measurements, as JSON Signed receiptProof this review has not been altered
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Igor Lutsenko

Optimization and Control · Submitted 14 Oct 2015

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The developed approach to constructing the mathematical model of the reduced deployed operation allows more accurate identification of the operation and its use to obtain new scientific results in the field of operations research.

how it is stated · asserted 0.92 read the record →

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arXiv ID1510.04086 (version 1)
Pith IDY3F3D443, Pith's permanent record of this paper and its review
CitationIgor Lutsenko. "Deployed model of extremal system operation for solving optimal management problems." arXiv:1510.04086 (2015). https://pith.science/paper/Y3F3D443
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The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 4,941 input tokens.

What the abstract itself states, as probabilities: claims first 0.08 · states limitation 0.23 · human participants 0.03 · controlled comparison 0.08 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.55 · mentions code or data availability 0.03.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

The reduced, simplified registration mathematical model of the system operation, obtained by scaling the registration signals of the basic model and determining the sum of the reduced, integrated flow rates by the input and output of the system under study was constructed. The studies of this traditional, for today model have shown the problem, associated with the existing approach in operations identification. As a result of using the agent model and system approach, it was found that registration model of the operation is not based on the data, actually describing the process under investigation. The new idea of the studied process has allowed to develop a method for constructing the reduced, deployed model of the operation. The deployed model of the operation allows to get access to data of operations at each point of the model of the operation process. The developed approach to constructing the mathematical model of the reduced deployed operation allows more accurate identification of the operation and its use to obtain new scientific results in the field of operations research.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 The reduced, simplified registration mathematical model of the system operation, obtained by scaling the registration signals of the basic model and determining the sum of the reduced, integrated flow rates by the input and output of the system under study was constructed. method 0.73 0.87 0.07 asserted 1.00
s1 The studies of this traditional, for today model have shown the problem, associated with the existing approach in operations identification. background 0.57 0.60 0.05 asserted 1.00
s2 As a result of using the agent model and system approach, it was found that registration model of the operation is not based on the data, actually describing the process under investigation. result 0.46 0.84 0.23 asserted 1.00
s3 The new idea of the studied process has allowed to develop a method for constructing the reduced, deployed model of the operation. contribution 0.93 0.86 0.14 asserted 1.00
s4 The deployed model of the operation allows to get access to data of operations at each point of the model of the operation process. result 0.45 0.70 0.19 asserted 0.97
s5 The developed approach to constructing the mathematical model of the reduced deployed operation allows more accurate identification of the operation and its use to obtain new scientific results in the field of operations research. interpretation 0.50 0.83 0.70 asserted 0.92

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from argument 0.53.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

The reduced, simplified registration mathematical model of the system operation, obtained by scaling the registration signals of the basic model and determining the sum of the reduced, integrated flow rates by the input and output of the system under study was constructed. The studies of this traditional, for today model have shown the problem, associated with the existing approach in operations identification. As a result of using the agent model and system approach, it was found that registration model of the operation is not based on the data, actually describing the process under investigation. The new idea of the studied process has allowed to develop a method for constructing the reduced, deployed model of the operation. The deployed model of the operation allows to get access to data of operations at each point of the model of the operation process. The developed approach to constructing the mathematical model of the reduced deployed operation allows more accurate identification of the operation and its use to obtain new scientific results in the field of operations research.

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