All papers signed by the collaboration as a whole are listed here, as well as papers on matters of general interest for the collaboration’s methodology.


  • Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy [arXiv:2401.10319]



  • The negligible impact of experimental inconsistencies in the NNPDF4.0 global dataset,[arXiv:2212.07703]
  • Response to “Parton distributions need representative sampling”,[arXiv:2211.12961]
  • Evidence for intrinsic charm quarks in the proton, [arXiv:2208.08372]
  • Regularising experimental correlations in LHC data: theory and application to a global analysis of parton distributions, [arXiv:2207.00690]


  • Bayesian approach to inverse problems: an application to NNPDF closure testing, [arXiv:2111.05787]
  • A data-based parametrization of parton distribution functions, [arXiv:2111.02954]
  • Correlation and combination of sets of parton distributions, [arXiv:2110.08274]
  • The path to proton structure at one-percent accuracy, [arXiv:2109.02653]
  • An open-source machine learning framework for global analyses of parton distributions, [arXiv:2109.02671]
  • Next generation proton PDFs with deuteron and nuclear uncertainties, [arXiv:2106.12349]
  • A determination of unpolarised pion fragmentation functions using semi-inclusive deep-inelastic-scattering data: MAPFF1.0, [arXiv:2105.08725]
  • Progress in the NNPDF global analyses of proton structure[arXiv:2104.09174]
  • Future tests of parton distributions, [arXiv:2103.08606]
  • Self-consistent determination of proton and nuclear PDFs at the Electron Ion Collider, [arXiv:2102.00018]



  • Single top production in PDF fits, [arXiv:1912.09543]
  • Parton distributions with theory uncertainties: general formalism and first phenomenological studies[arXiv:1906.10698]
  • A first determination of parton distributions with theoretical uncertainties[arXiv:1905.04311]
  • Nuclear Parton Distributions from Lepton-Nucleus Scattering and the Impact of an Electron-Ion Collider, Eur. Phys. J. C 79 (2019) no. 3, 035201, [arXiv:1904.00018] INSPIRE HEP



  • A determination of the fragmentation functions of pions, kaons, and protons with faithful uncertainties, Eur. Phys. J. C (2017) 77: 516,  [arXiv:1706.07049] INSPIRE HEP
  • Parton distributions from high-precision collider data, Eur.Phys.J. C77 (2017) no.10, 663, [arXiv:1706.00428] INSPIRE HEP






  • Precision NNLO determination of alpha_s(M_Z) using an unbiased global parton set, Phys. Lett. B707 (2012) 66-71, [arXiv:1110.2483] INSPIRE HEP
  • Reweighting and Unweighting of Parton Distributions and the LHC W lepton asymmetry data, Nucl. Phys. B855 (2012) 608-638, [arXiv:1108.1758] INSPIRE HEP
  • Unbiased global determination of parton distributions and their uncertainties at NNLO and at LO, Nucl. Phys. B855 (2012) 153-221, [arXiv:1107.2652] INSPIRE HEP


  • Precision determination of alpha_s using an unbiased global NLO parton set, Phys. Lett. B701 (2011) 346-352, [arXiv:1103.2369] INSPIRE HEP
  • On the Impact of NMC Data on NLO and NNLO Parton Distributions and Higgs Production at the Tevatron and the LHC, Phys. Lett. B704 (2011) 36-42, [arXiv:1102.3182] INSPIRE HEP
  • Impact of Heavy Quark Masses on Parton Distributions and LHC Phenomenology, Nucl. Phys. B849 (2011) 296-363,
    [arXiv:1101.1300] INSPIRE HEP
  • Reweighting NNPDFs: the W lepton asymmetry , Nucl. Phys. B849 (2011) 112-143; Erratum-ibid. B854 (2012) 926-927; Erratum-ibid. (2012) B855 927-928, [arXiv:1012.0836] INSPIRE HEP


  • A first unbiased global NLO determination of parton distributions and their uncertainties, Nucl. Phys. B838 (2010) 136-206, [arXiv:1002.4407] INSPIRE HEP
  • Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties, JHEP 1005:075, 2010, [arXiv:0912.2276] INSPIRE HEP


  • Precision determination of electroweak parameters and the strange content of the proton from neutrino deep-inelastic scattering, Nucl. Phys. B823 (2009) 195-233, [arXiv:0906.1958] INSPIRE HEP
  • The Bjorken sum rule with Monte Carlo and Neural Network techniques, JHEP 0911:060, 2009, [arXiv:0907.2506] INSPIRE HEP
  • A determination of parton distributions with faithful uncertainty estimation, Nucl. Phys. B809 (2009) 1-63; Erratum-ibid. B816 (2009) 293, [arXiv:0808.1231] INSPIRE HEP




  • Neural network parametrization of spectral functions from hadronic tau decays and determination of QCD vacuum condensates, JHEP 0401:055, 2004, [arXiv:hep-ph/0401047] INSPIRE HEP