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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See every place this corpus cites a work that was later retracted, corrected, withdrawn, or placed under expression of concern: exact quote, event source, and what happened next.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 2604.19320 · clear

01Events with corpus notices

Correction Crossref 1 open · 1 total
Superconducting Fluctuations in Overdoped <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline"><mml:mrow><mml:msub><mml:mrow><mml:mi>Bi</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>Sr</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi>CaCu</mml:mi></mml:mrow><mml:mrow><mml:mn>2</mml:mn></mml:mrow></mml:msub></mml:mrow><mml:mrow><mml:msub><mml:mrow><mml:mi mathvariant="normal">O</mml:mi></mml:mrow><mml:mrow><mml:mn>8</mml:mn><mml:mo>+</mml:mo><mml:mi>δ</mml:mi></mml:mrow></mml:msub></mml:mrow></mml:math>

DOI 10.1103/physrevx.11.031068 · event 2021-09-28 · event page · JSON

02One-hop citation notices (secondary index)

Correction Crossref Open
Single-shot quantum neural networks with amplitude estimation

cites Noisy intermediate-scale quan- tum computers · ref [34] · event 2024-08-23 · 2604.19320 · event page · DOI 10.1007/s11467-022-1249-z

Raw extraction · bibliography line

B. Cheng, X.-H. Deng, X. Gu, Y. He, G. Hu, P. Huang, J. Li, B.-C. Lin, D. Lu, Y. Lu, C. Qiu, H. Wang, T. Xin, S. Yu, M.-H. Yung, J. Zeng, S. Zhang, Y. Zhong, X. Peng, F. Nori, D. Yu, Noisy intermediate- scale quantum computers, Frontiers of Physics 18 (2) (2023) 21308. 24 doi:10.1007/s11467-022-1249-z. URLhttps://doi.org/10.1007/s11467-022-1249-z
Correction Crossref Open
Single-shot quantum neural networks with amplitude estimation

cites Parameterized quantum circuits as machine learning models , volume= · ref [9] · event 2019-12-04 · 2604.19320 · event page · DOI 10.1088/2058-9565/ab4eb5

Raw extraction · citation context

Seo, Efficient quantum machine learning with inverse-probability al- gebraic corrections (2026). arXiv:2601.16665. URLhttps://arxiv.org/abs/2601.16665 [8] M. Benedetti, E. Lloyd, S. Sack, M. Fiorentini, Parameterized quantum circuits as machine learning models, Quantum Science and Technology 4 (4) (2019) 043001. doi:10.1088/2058-9565/ab4eb5. URLhttps://dx.doi.org/10.1088/2058-9565/ab4eb5 [9] T. Hubregtsen, J. Pichlmeier, P. Stecher, K. Bertels, Evaluation of pa- rameterized q…

Parser render (TeX stripped for reading; raw above is the evidence)

Seo, Efficient quantum machine learning with inverse-probability al- gebraic corrections (2026). arXiv:2601.16665. URLhttps://arxiv.org/abs/2601.16665 [8] M. Benedetti, E. Lloyd, S. Sack, M. Fiorentini, Parameterized quantum circuits as machine learning models, Quantum Science and Technology 4 (4) (2019) 043001. doi:10.1088/2058-9565/ab4eb5. URLhttps://dx.doi.org/10.1088/2058-9565/ab4eb5 [9] T. Hubregtsen, J. Pichlmeier, P. Stecher, K. Bertels, Evaluation of pa- rameterized q…