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.

2026

• A Determination of the Top Mass from a Global PDF Analysis [arXiv:2603.28865]
• Parton distribution functions and theory parameters: an NNPDF perspective [arXiv:2602.24005]

2025

• Extractions of the strong coupling from collider data without PDF refitting are biased [arXiv:2511.22561]
• Parton distributions with higher twist and jet power corrections [arXiv:2511.14387]
• Parametrisation scale invariance of Parton Distribution Function fits [arXiv:2511.09284]
• A Determination of αs(mZ) at aN3LOQCD⊗NLOQED Accuracy from a Global PDF Analysis [arXiv:2506.13871]
• Evaluating the faithfulness of PDF uncertainties in the presence of inconsistent data [arXiv:250317447]
• NNPDFpol2.0: unbiased global determination of polarized PDFs and their uncertainties at next-to-next-to-leading order [arXiv:2503.11814]

2024

• The Path to N3LO Parton Distributions [arXiv:2402.18635]
• Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy [arXiv:2401.10319]
• Photons in the proton: implications for the LHC [arXiv:2401.08749]

2023

• The intrinsic charm quark valence distribution of the proton, [arXiv:2311.00743]
• Pineline: Industrialization of High-Energy Theory Predictions, [arXiv:2302.12124]
• Neutrino Structure Functions from GeV to EeV Energies, [arXiv:2302.08527]

2022

• 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]

2021

• 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]

2020

• Deuteron uncertainties in the determination of proton PDFs, [arXiv:2011.00009]
• The strangest proton? [arXiv:2009.00014]
• Parton distribution functions, [arXiv:2008.12305]
• nNNPDF2.0: Quark Flavor Separation in Nuclei from LHC Data, [arXiv:2006.14629]
• Phenomenology of NNLO jet production at the LHC and its impact on parton distributions, [arXiv:2005.11327]
• Chapter II – Parton Distribution Functions in Les Houches 2019: Physics at TeV Colliders Standard Model Working Group Report  [arXiv:2003.01700] INSPIRE HEP
• Why the strong coupling cannot be determined from hadronic processes without simultaneously determining the parton distributions, [arXiv:2001.04986]

2019

• 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

2018

• Nuclear Uncertainties in the Determination of Proton PDFs, [arXiv:1812.09074]
• Charged hadron fragmentation functions from collider data, [arXiv:1807.03310] INSPIRE HEP
• Chapter II – Parton Distribution Functions in Les Houches 2017: Physics at TeV Colliders Standard Model Working Group Report  [arXiv:1803.07977] INSPIRE HEP
• Precision determination of the strong coupling constant within a global PDF analysis, [arXiv:1802.03398] INSPIRE HEP

2017

• Illuminating the photon content of the proton within a global PDF analysis, [arXiv:1712.07053] INSPIRE HEP
• Parton distributions with small-x resummation: evidence for BFKL dynamics in HERA data,  [arXiv:1710.05935] 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

2016

• A Determination of the Charm Content of the Proton, Eur.Phys.J. C76 (2016) no.11, 647, [arXiv:1605.06515] INSPIRE HEP

2015

• Parton distributions with threshold resummation, JHEP 1509 (2015) 191, [arXiv:1507.01006] INSPIRE HEP
• Parton distributions for the LHC Run II, JHEP1504 (2015) 040, [arXiv:1410.8849] INSPIRE HEP

2014

• A first unbiased global determination of polarized PDFs and their uncertainties, Nucl.Phys. B887 (2014) 276-308, [arXiv:1406.5539] INSPIRE HEP
• Polarized Parton Distributions at an Electron-Ion Collider, Phys. Lett. B728 (2014) 524-531, [arXiv:1310.0461] INSPIRE HEP

2013

• Parton distributions with QED corrections, Nucl. Phys. B877 (2013) 290-320, [arXiv:1308.0598] INSPIRE HEP
• Unbiased determination of polarized parton distributions and their uncertainties, Nucl. Phys. B874 (2013) 36-84, [arXiv:1303.7236] INSPIRE HEP
• Theoretical issues in PDF determination and associated uncertainties, Phys. Lett. B723 (2013) 330-339, [arXiv:1303.1189] INSPIRE HEP
• Parton distributions with LHC data, Nucl. Phys. B867 (2013) 244-289, [arXiv:1207.1303] INSPIRE HEP

2012

• 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

2011

• 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

2010

• 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

2009

• 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

2007

• Neural network determination of parton distributions: the nonsinglet case , JHEP 0703:039, 2007, [arXiv:hep-ph/0701127] INSPIRE HEP

2005

• Unbiased determination of the proton structure function F₂^p with faithful uncertainty estimation, JHEP0503:080, 2005,
  [arXiv:hep-ph/0501067] INSPIRE HEP

2004

• 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

2002

• Determination of alpha_s from scaling violations of truncated moments of structure functions, Nucl.Phys.B643 (2002) 477-500, [arXiv:hep-ph/0205286] INSPIRE HEP
• Neural Network Parametrization of Deep-Inelastic Structure Functions
  JHEP 0205:062, 2002, [arXiv:hep-ph/0204232] INSPIRE HEP