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NNVub: a Neural Network Approach to $B\to X_u \ell \nu$

High Energy Physics - Phenomenology · Submitted 26 Apr 2016

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

The authors' main claim The results are used to extract $|V_{ub}|$ in the GGOU framework and compared with the original GGOU paper and the latest HFAG results, finding good agreement in both cases.

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arXiv ID1604.07598 (version 1)
Pith IDMZXNY32G, Pith's permanent record of this paper and its review
CitationCristina Mondino, Kristopher J. Healey, Paolo Gambino. "NNVub: a Neural Network Approach to $B\to X_u \ell \nu$." arXiv:1604.07598 (2016). https://pith.science/paper/MZXNY32G
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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,569 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.11 · human participants 0.01 · controlled comparison 0.24 · randomized assignment 0.01 · states quantitative result 0.11 · compares with prior results 0.98 · mentions code or data availability 0.02.

The abstract, sentence by sentence

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

We use artificial neural networks to parameterize the shape functions in inclusive semileptonic $B$ decays without charm. Our approach avoids the adoption of functional form models and allows for a straightforward implementation of all experimental and theoretical constraints on the shape functions. The results are used to extract $|V_{ub}|$ in the GGOU framework and compared with the original GGOU paper and the latest HFAG results, finding good agreement in both cases. The possible impact of future Belle-II data on the $M_X$ distribution is also discussed.

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 We use artificial neural networks to parameterize the shape functions in inclusive semileptonic $B$ decays without charm. method 0.86 0.95 0.07 asserted 1.00
s1 Our approach avoids the adoption of functional form models and allows for a straightforward implementation of all experimental and theoretical constraints on the shape functions. method 0.70 0.81 0.10 asserted 1.00
s2 The results are used to extract $|V_{ub}|$ in the GGOU framework and compared with the original GGOU paper and the latest HFAG results, finding good agreement in both cases. result 1.00 0.93 0.69 asserted 1.00
s3 The possible impact of future Belle-II data on the $M_X$ distribution is also discussed. future work 0.94 0.56 0.03 hedged possibility 0.61

What kind of paper the classifier reports this is: method or tool 1.00 · evidence from analysis of existing data 0.61.

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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

We use artificial neural networks to parameterize the shape functions in inclusive semileptonic $B$ decays without charm. Our approach avoids the adoption of functional form models and allows for a straightforward implementation of all experimental and theoretical constraints on the shape functions. The results are used to extract $|V_{ub}|$ in the GGOU framework and compared with the original GGOU paper and the latest HFAG results, finding good agreement in both cases. The possible impact of future Belle-II data on the $M_X$ distribution is also discussed.

Human review
References
How the literature uses it

8 arXiv papers cite this in 10 sentences

Each citing sentence is taken from the citing paper's LaTeX source and typed by Pith's classifier. A label appears at probability 0.8 or more (0.95 for support), a contest at 0.7 or more; the quoted words are the citing authors'. How each label was checked · JSON

Papers citing it · 6 sentences without a confident label

Uses its data or values 2 papers
Cites it as background 2 papers

What it cites · 22 sentences without a confident label

Uses the method or tool of 3 papers
Uses data or values from 2 papers
Compares with 4 papers
Cites as background 14 papers
  • The precise determination of the CKM matrix element $V_ub$ remains an important goal in flavour physics, instrumental in performing stringent tests of the CKM matrix unitarity, see [ref] for a review. $|V_ub|$ can be extracted from $b→u ℓν$ decays, and in in particular from $B→πℓν$, using lattice QCD [ref] or light-cone sum rules [ref] calculations of the relevant form factors.

    Extrapolation and unitarity bounds for the $B \to \pi$ form factor · Introduction · 0.90

  • The precise determination of the CKM matrix element $V_ub$ remains an important goal in flavour physics, instrumental in performing stringent tests of the CKM matrix unitarity, see [ref] for a review. $|V_ub|$ can be extracted from $b→u ℓν$ decays, and in in particular from $B→πℓν$, using lattice QCD [ref] or light-cone sum rules [ref] calculations of the relevant form factors.

    Two-loop Corrections to the B to pi Form Factor from QCD Sum Rules on the Light-Cone and |V(ub)| · Introduction · 0.90

  • The precise determination of the CKM matrix element $V_ub$ remains an important goal in flavour physics, instrumental in performing stringent tests of the CKM matrix unitarity, see [ref] for a review. $|V_ub|$ can be extracted from $b→u ℓν$ decays, and in in particular from $B→πℓν$, using lattice QCD [ref] or light-cone sum rules [ref] calculations of the relevant form factors.

    $|V_{ub}|$ from $B\to\pi\ell\nu$ decays and (2+1)-flavor lattice QCD · Introduction · 0.90

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