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^-.
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XGBoost: A Scalable Tree Boosting System
Tool reference. 75% of classified Pith citations use this work as a method, library, or software dependency, not as a substantive claim.
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.
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representative citing papers
A homogenized catalogue of 128 TeV sources linked to 66 pulsars shows weak correlation between TeV luminosity and pulsar age, indicating environmental effects dominate evolution.
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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.
MARD-7B outperforms baselines and GPT-4o on novel drug pairs for mechanism-level DDI prediction via a new distillation pipeline with verifiable process rewards and releases all resources.
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.
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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.
ML pipeline on fetal MRI features predicts gestational age at birth (R²=0.13, MAE=2.74 weeks) and preterm status (accuracy 0.77) from 426 cases.
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ML-based cell on/off strategy for 5G networks trained on real European operator data, using class ratio tuning to enforce QoS policies on throughput and outage while achieving energy savings.
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}.
Clustering-based reconstruction and multi-level identification (pre-selection, cuts, BDT) achieve 99.9% background rejection, 59-71% efficiency, and 23-25% energy resolution for EM showers in FASERnu emulsion detector from test beam data.
citing papers explorer
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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^-.
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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.
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Analysis of the $C\!P$ structure of the Yukawa coupling between the Higgs boson and tau leptons in proton-proton collisions at $\sqrt{s}$ = 13.6 TeV
Combined CMS result gives α^{Hττ} = 7 ± 16° for the CP mixing angle in H→ττ, consistent with SM expectation of 0 ± 14°.
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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}.
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Machine learning study on single production of a singlet vectorlike lepton at the Large Hadron Collider
With XGBoost at 14 TeV and 3000 fb⁻¹, 2σ exclusion of a tau-mixing singlet vectorlike lepton can reach ~500 GeV (3-lepton) and ~405 GeV (4-lepton) if systematics are negligible.
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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.