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Pith Integrity · Reference Change Desk · events-only

Reference changes

See every place this corpus cites a work that was later retracted, corrected, withdrawn, or placed under expression of concern: exact quote, event source, and what happened next. No model judges the citation.

A notice on this page means a citing paper's bibliography includes a work with a published scholarly-record event. It is not a judgment on the citing paper.

Scoped to citing paper 2411.14463 · clear

01Events with corpus notices

Correction Crossref 1 open · 1 total
Corrigendum to: “Measurement of the <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.gif" overflow="scroll"> <mml:mi>t</mml:mi> <mml:mover accent="true"> <mml:mrow> <mml:mi>t</mml:mi> </mml:mrow> <mml:mrow> <mml:mo stretchy="false">¯</mml:mo> </mml:mrow> </mml:mover> </mml:math> production cross-section using eμ events with b-tagged jets in pp collisions at <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si2.gif" overflow="scroll"> <mml:msqrt> <mml:mi>s</mml:mi> </mml:msqrt> <mml:mo>=</mml:mo> <mml:mn>13</mml:mn> </mml:math>  TeV with the ATLAS detector” [Phys. Lett. B 761 (2016) 136–157]

DOI 10.1016/j.physletb.2016.08.019 · event 2017-09-21 · event page · JSON

02One-hop citation notices (secondary index)

Correction Crossref Open
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis

cites De Bock, and Stefan Lessmann · ref [25] · event 2021-05-19 · 2411.14463 · event page · DOI 10.1016/j.ijforecast.2019.03.029

Raw extraction · bibliography line

Arno De Caigny, Kristof Coussement, Koen W. De Bock, and Stefan Lessmann. Incorporating textual information in customer churn prediction models based on a convolutional neural network. International Journal of Forecasting, 36.0: 0 1563.0--1578.0, 2020. doi:10.1016/j.ijforecast.2019.03.029
Correction Crossref Open
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis

cites Ai-based chatbots in conversational commerce and their effects on product and price perceptions · ref [98] · event 2023-08-24 · 2411.14463 · event page · DOI 10.1007/s12525-023-00633-8

Raw extraction · bibliography line

Justina Sidlauskiene, Yannick Joye, and Vilte Auruskeviciene. Ai-based chatbots in conversational commerce and their effects on product and price perceptions. Electronic Markets, 33.0, 2023. doi:10.1007/s12525-023-00633-8
Retraction Crossref Open
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis

cites Pustokhin, Irina V · ref [49] · event 2024-04-01 · 2411.14463 · event page · DOI 10.1007/s10660-022-09630-z

Raw extraction · bibliography line

Arodh Lal Karn, Rakshha Kumari Karna, Bhavana Raj Kondamudi, Girish Bagale, Denis A. Pustokhin, Irina V. Pustokhina, and Sudhakar Sengan. Customer centric hybrid recommendation system for e-commerce applications by integrating hybrid sentiment analysis. Electronic Commerce Research, 23.0: 0 279.0--314.0, 2023. doi:10.1007/s10660-022-09630-z
Retraction Crossref Open
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis

cites Defining content marketing and its influence on online user behavior: a data-driven prescriptive analytics method · ref [12] · event 2023-03-12 · 2411.14463 · event page · DOI 10.1007/s10479-023-05261-1

Raw extraction · bibliography line

Belém Barbosa, José Ramón Saura, Senka Borovac Zekan, and Domingo Ribeiro-Soriano. Defining content marketing and its influence on online user behavior: a data-driven prescriptive analytics method. Annals of Operations Research, 2023. doi:10.1007/s10479-023-05261-1
Retraction Retraction Watch Open
Leveraging AI and NLP for Bank Marketing: A Systematic Review and Gap Analysis

cites Defining content marketing and its influence on online user behavior: a data-driven prescriptive analytics method · ref [12] · 2411.14463 · event page · DOI 10.1007/s10479-023-05261-1

Raw extraction · bibliography line

Belém Barbosa, José Ramón Saura, Senka Borovac Zekan, and Domingo Ribeiro-Soriano. Defining content marketing and its influence on online user behavior: a data-driven prescriptive analytics method. Annals of Operations Research, 2023. doi:10.1007/s10479-023-05261-1