First observation of Λ_b^0 → Λ p p-bar with 5.1σ significance and relative branching fraction (5.1 ± 1.3(stat) ± 0.3(syst)) × 10^{-2} to the reference mode Λ_b^0 → Λ K^+ K^-.
hub Tool reference
XGBoost: A Scalable Tree Boosting System
Tool reference. 71% of classified Pith citations use this work as a method, library, or software dependency, not as a substantive claim.
25
Pith papers citing it
Method reference
71% of classified citations
abstract
Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges. We propose a novel sparsity-aware algorithm for sparse data and weighted quantile sketch for approximate tree learning. More importantly, we provide insights on cache access patterns, data compression and sharding to build a scalable tree boosting system. By combining these insights, XGBoost scales beyond billions of examples using far fewer resources than existing systems.
hub tools
citation-role summary
method 5
background 2
citation-polarity summary
representative citing papers
A 1825 storm created a new sea connection in Denmark, producing a 27 percent population increase (elasticity 1.6 to market access) driven by fertility and occupational change toward fishing and manufacturing, with symmetric medieval declines after waterway closure.
Tempov is a self-supervised satellite foundation model that predicts wealth levels and decadal changes at high resolution across Africa from Landsat imagery, outperforming baselines even with limited labels and generalizing temporally.
SynQL synthesizes diverse, execution-ready SQL workloads by deterministically traversing foreign-key graphs to populate ASTs, yielding high topological entropy and cost-model training data with R² ≥ 0.79 on held-out sets.
VarWISE catalog identifies 457,080 high-confidence infrared variables (49.81% new) and an extended set of 1.9 million from NEOWISE photometry via spatial clustering, VARnet detection, and XGBoost classification.
MuViS is a new unified benchmark showing that neither gradient-boosted trees nor deep neural networks hold a universal advantage in multimodal virtual sensing.
XGBoost classifier filters interlopers in CSST slitless spectroscopy simulations, retaining 42% of galaxies with 96.6% accurate redshifts and 0.13% outliers.
No evidence for KS0 or KL0 to pi+ pi- mu+ mu- decays; first upper limits set at 1.4e-9 and 6.6e-7 (90% CL).
ATLAS reports the observation of W⁺W⁻γ triboson production with 5.9σ significance and derives constraints on anomalous quartic gauge-boson couplings via effective field theory.
Reports flux-integrated single- and double-differential cross sections for νμ CC0π interactions on argon and compares them to neutrino event generators, finding good agreement in single-differential but only partial agreement in double-differential distributions.
MicroBooNE performs a blind search for anomalous single-photon events and finds agreement overall but a ~2σ excess in the proton-free subsample at energies below 600 MeV.
A criterion of |Δg| > 0.4 mag and |Δ(g-r)| > 0.2 mag detects photometric CL-AGN transitions in 9.6% of known hosts with 1.6% false positive rate from simulations.
A stacked ensemble combining temporal, spectral, wavelet and connectivity features from IED-free stimulation EEG reaches up to 97.8% AUC on the TUH corpus and 79.4% AUC on a clinical cohort.
No significant excess found; new exclusion limits reach m_H = 108 GeV for m_H - m_A = 78 GeV in the Inert Doublet Model.
New correlated observables from the (P_Higgs, θ_Zγ) plane with XGBoost improve H→Zγ signal discrimination from Z/γ* background, raising S/B to 2.1% (electrons) and 3.4% (muons) near the Higgs mass.
A gradient boosted classifier on X-ray light curve features detects stellar flares at 97.1% test accuracy and generates the largest public catalog of such events.
Gaia DR3 data shows the Milky Way bar pattern speed is biased high by 14.4 km s^{-1} kpc^{-1}, with a bias-corrected estimate of 29.3 ± 2.3 km s^{-1} kpc^{-1}.
XGBoost multivariate analysis extends the 5-sigma discovery reach for singly produced vector-like bottom quarks decaying via heavy neutral Higgs bosons to 1.6 TeV at the HL-LHC with 3 ab^{-1}.
Updated ATLAS search for HH → bbγγ with 308 fb⁻¹ yields observed μ_HH = 0.9^{+1.4}_{-1.1}, 95% CL limit μ_HH < 3.7, and κ_λ in [-1.6, 6.6].
Random Forest regression on combined optical plus mid-infrared colors yields NMAD of 0.0188, R-squared of 0.9561, and 0.294 percent outliers for photometric redshifts in 23,797 Seyfert II galaxies selected from SDSS and WISE.
An attention-based fusion model combining semi-supervised CT segmentation, radiomics, and clinical features predicts metastatic recurrence, overall survival, and disease-free survival in HPV+ oropharyngeal cancer with AUCs of 88.2%, 79.2%, and 78.1% on an internal cohort of 397 patients.
Muon colliders at 3 TeV and 10 TeV can probe branching ratios for h to SS decays in 4b and 2b2μ channels down to 10^{-3}–10^{-5}, improving on HL-LHC projections using machine learning.
FCC-ee at 240 GeV with 10.8 ab^{-1} could set a 95% CL upper limit of 0.15% on the branching ratio of Higgs to invisible particles.
Simulation projects 2.0 sigma significance for resonant Higgs production at FCC-ee, yielding an upper limit of kappa_e less than or equal to 1.35 at 95% CL on the electron Yukawa coupling modifier with 10 ab inverse luminosity.
citing papers explorer
-
Observation of the charmless purely baryonic decay $\mathinner{\mathit{\Lambda}^0_b\!\to \mathit{\Lambda} p \overline{p}}$
First observation of Λ_b^0 → Λ p p-bar with 5.1σ significance and relative branching fraction (5.1 ± 1.3(stat) ± 0.3(syst)) × 10^{-2} to the reference mode Λ_b^0 → Λ K^+ K^-.
-
Search for pair production of additional neutral scalars within the Inert Doublet Model in a final state with two electrons or two muons in proton-proton collisions at $\sqrt{s}$ = 13 TeV and 13.6 TeV
No significant excess found; new exclusion limits reach m_H = 108 GeV for m_H - m_A = 78 GeV in the Inert Doublet Model.
-
Probing Heavy Neutral Higgs Bosons via Single Vector-Like Bottom Quark Production at the HL-LHC
XGBoost multivariate analysis extends the 5-sigma discovery reach for singly produced vector-like bottom quarks decaying via heavy neutral Higgs bosons to 1.6 TeV at the HL-LHC with 3 ab^{-1}.
-
Exotic Higgs Decays at a Muon Collider
Muon colliders at 3 TeV and 10 TeV can probe branching ratios for h to SS decays in 4b and 2b2μ channels down to 10^{-3}–10^{-5}, improving on HL-LHC projections using machine learning.
-
Machine Learning Study on Single Production of a Singlet Vector-like Lepton at the Large Hadron Collider
XGBoost machine learning improves discrimination in LHC searches for singlet vector-like leptons, yielding projected 2σ mass exclusion limits of 620 GeV (three-lepton) and 490 GeV (four-lepton) at 14 TeV with 3000 fb^{-1}.