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Including stress relaxation in point-process model for seismic occurrence

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Giuseppe Petrillo, Jiancang Zhuang, Eugenio Lippiello

Geophysics · Submitted 2 Feb 2023

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

The authors' main claim The results show that the best statistical model must take into account the non trivial interplay between temporal clustering, related to aftershock occurrence, and the stress discharge following the occurrence of high magnitude mainshocks.

how it is stated · asserted 1.00 read the record →

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arXiv ID2302.00827 (version 1)
Pith IDNDQWOBEU, Pith's permanent record of this paper and its review
CitationEugenio Lippiello, Giuseppe Petrillo, Jiancang Zhuang. "Including stress relaxation in point-process model for seismic occurrence." arXiv:2302.00827 (2023). https://pith.science/paper/NDQWOBEU
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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, 4,246 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.33 · human participants 0.01 · controlled comparison 0.09 · randomized assignment 0.01 · states quantitative result 0.06 · compares with prior results 0.61 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

Physics-based and statistic-based models for describing seismic occurrence are two sides of the same coin. In this article we compare the temporal organization of events obtained in a spring-block model for the seismic fault with the one predicted by probabilistic models for seismic occurrence. Thanks to the optimization of the parameters, by means of a Maximum Likelihood Estimation, it is possible to identify the statistical model which fits better the physical one. The results show that the best statistical model must take into account the non trivial interplay between temporal clustering, related to aftershock occurrence, and the stress discharge following the occurrence of high magnitude mainshocks. The two mechanisms contribute in different ways according to the minimum magnitude considered in the data fitting catalog.

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 Physics-based and statistic-based models for describing seismic occurrence are two sides of the same coin. background 1.00 0.06 0.03 asserted 1.00
s1 In this article we compare the temporal organization of events obtained in a spring-block model for the seismic fault with the one predicted by probabilistic models for seismic occurrence. contribution 0.91 0.88 0.04 asserted 0.81
s2 Thanks to the optimization of the parameters, by means of a Maximum Likelihood Estimation, it is possible to identify the statistical model which fits better the physical one. method 0.99 0.81 0.05 hedged possibility 0.60
s3 The results show that the best statistical model must take into account the non trivial interplay between temporal clustering, related to aftershock occurrence, and the stress discharge following the occurrence of high magnitude mainshocks. result 0.88 0.92 0.88 asserted 1.00
s4 The two mechanisms contribute in different ways according to the minimum magnitude considered in the data fitting catalog. result 0.89 0.84 0.10 asserted 0.98

What kind of paper the classifier reports this is: simulation study 0.96 · evidence from simulation or computation 1.00.

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  • T body sentences
  • C citations
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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

Physics-based and statistic-based models for describing seismic occurrence are two sides of the same coin. In this article we compare the temporal organization of events obtained in a spring-block model for the seismic fault with the one predicted by probabilistic models for seismic occurrence. Thanks to the optimization of the parameters, by means of a Maximum Likelihood Estimation, it is possible to identify the statistical model which fits better the physical one. The results show that the best statistical model must take into account the non trivial interplay between temporal clustering, related to aftershock occurrence, and the stress discharge following the occurrence of high magnitude mainshocks. The two mechanisms contribute in different ways according to the minimum magnitude considered in the data fitting catalog.

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