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Paper Citation Record · LEDGER

A linear PDF model for Bayesian inference

As of 21 July 2026, this Paper Citation Record lists 68 of 68 outbound references and 4 inbound Pith citation observations for arXiv:2507.16913.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2507.16913 v2

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-19T03:14:03.683895Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-09T08:05:16.230513Z

Reference resolution

68 of 68 outbound references displayed

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  • verified fuzzy11
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External citation measurements

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Outbound references

Observation 4d90ae4f-5daf-49d6-a6be-449426fd4c54 · outbound

This paper cites Snowmass 2021 whitepaper: Proton structure at the precision frontier.

A linear PDF model for Bayesian inference Snowmass 2021 whitepaper: Proton structure at the precision frontier

Reference 1

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Observation ce9ab954-cbef-4716-ab0f-110e262a69e9 · outbound

This paper cites Parton Distribution Functions and Their Impact on Precision of the Current Theory Calculations.

A linear PDF model for Bayesian inference Parton Distribution Functions and Their Impact on Precision of the Current Theory Calculations

Reference 2

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arxiv_id, observed 2026-05-19T03:17:01.116698Z

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Observation c7664e2e-0f21-4b28-9a00-06682fe0cfd8 · outbound

This paper cites Towards Ultimate Parton Distributions at the High-Luminosity LHC.

A linear PDF model for Bayesian inference Towards Ultimate Parton Distributions at the High-Luminosity LHC

Reference 3

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Observation 53a4596d-abad-409f-96a5-d5cd4b4889be · outbound

This paper cites Nuclear Uncertainties in the Determination of Proton PDFs.

A linear PDF model for Bayesian inference Nuclear Uncertainties in the Determination of Proton PDFs

Reference 4

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Observation 456cbbe5-4869-4dfc-b7f3-befa3e32c0aa · outbound

This paper cites Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy.

A linear PDF model for Bayesian inference Determination of the theory uncertainties from missing higher orders on NNLO parton distributions with percent accuracy

Reference 5

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Observation 8c73cdb2-a3d3-47e1-93e2-3a1d804f17b0 · outbound

This paper cites Evaluating the faithfulness of PDF uncertainties in the presence of inconsistent data.

A linear PDF model for Bayesian inference Evaluating the faithfulness of PDF uncertainties in the presence of inconsistent data

Reference 6

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Observation fe9f778b-510d-4f84-852d-2beb05150bc2 · outbound

This paper cites Parton Distribution Functions, $\alpha_s$ and Heavy-Quark Masses for LHC Run II.

A linear PDF model for Bayesian inference Parton Distribution Functions, $\alpha_s$ and Heavy-Quark Masses for LHC Run II

Reference 7

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Observation b14885ad-d052-423d-a6de-86ea472e9400 · outbound

This paper cites New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC.

A linear PDF model for Bayesian inference New CTEQ global analysis of quantum chromodynamics with high-precision data from the LHC

Reference 8

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Observation a89a6224-05ee-4b09-a08a-92dd7f8254ea · outbound

This paper cites Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs.

A linear PDF model for Bayesian inference Parton distributions from LHC, HERA, Tevatron and fixed target data: MSHT20 PDFs

Reference 9

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Observation d4a04b7f-2e06-4e0e-8fe2-c78c2c18bb6a · outbound

This paper cites Combining QED and Approximate N${}^3$LO QCD Corrections in a Global PDF Fit: MSHT20qed_an3lo PDFs.

A linear PDF model for Bayesian inference Combining QED and Approximate N${}^3$LO QCD Corrections in a Global PDF Fit: MSHT20qed_an3lo PDFs

Reference 10

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Observation 85619771-194a-4c0c-96d5-4be485b9d670 · outbound

This paper cites The Path to Proton Structure at One-Percent Accuracy.

A linear PDF model for Bayesian inference The Path to Proton Structure at One-Percent Accuracy

Reference 11

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Observation 8a11d661-510c-445b-a676-1b7cd85d44ae · outbound

This paper cites The Path to N$^3$LO Parton Distributions.

A linear PDF model for Bayesian inference The Path to N$^3$LO Parton Distributions

Reference 12

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Observation faf67b56-fdfc-4137-8b9b-4afb398503cc · outbound

This paper cites Parton distributions confront LHC Run II data: a quantitative appraisal.

A linear PDF model for Bayesian inference Parton distributions confront LHC Run II data: a quantitative appraisal

Reference 13

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Observation 65956e1e-39d1-4d83-9258-aa7bee147a41 · outbound

This paper cites PDF4LHC recommendations for LHC Run II.

A linear PDF model for Bayesian inference PDF4LHC recommendations for LHC Run II

Reference 14

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Observation a03ed8f8-b134-4c23-a29f-7b659e4fdb74 · outbound

This paper cites The PDF4LHC21 combination of global PDF fits for the LHC Run III.

A linear PDF model for Bayesian inference The PDF4LHC21 combination of global PDF fits for the LHC Run III

Reference 15

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Observation ce13790b-35ed-4ca5-9108-5423c993b592 · outbound

This paper cites Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing.

A linear PDF model for Bayesian inference Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing

Reference 16

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Observation 439c513c-68a3-4081-a486-efdbad324297 · outbound

This paper cites A Stress Test of Global PDF Fits: Closure Testing the MSHT PDFs and a First Direct Comparison to the Neural Net Approach.

A linear PDF model for Bayesian inference A Stress Test of Global PDF Fits: Closure Testing the MSHT PDFs and a First Direct Comparison to the Neural Net Approach

Reference 17

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Observation 4208ed8b-581a-46f2-80fd-c36827ddd5b2 · outbound

This paper cites A precise measurement of the Z-boson double-differential transverse momentum and rapidity distributions in the full phase space of the decay leptons with the ATLAS experiment at $\sqrt s$ = 8 TeV.

A linear PDF model for Bayesian inference A precise measurement of the Z-boson double-differential transverse momentum and rapidity distributions in the full phase space of the decay leptons with the ATLAS experiment at $\sqrt s$ = 8 TeV

Reference 18

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Observation 6871f59e-e7a3-4505-9304-7988a4a03668 · outbound

This paper cites Measurement of the Drell-Yan forward-backward asymmetry and of the effective leptonic weak mixing angle in proton-proton collisions at $\sqrt{s}$ = 13 TeV.

A linear PDF model for Bayesian inference Measurement of the Drell-Yan forward-backward asymmetry and of the effective leptonic weak mixing angle in proton-proton collisions at $\sqrt{s}$ = 13 TeV

Reference 19

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Observation a6908f4c-5547-45c2-8cd7-ad4812530584 · outbound

This paper cites Measurement of the W-boson mass and width with the ATLAS detector using proton-proton collisions at $\sqrt{s}$ = 7 TeV.

A linear PDF model for Bayesian inference Measurement of the W-boson mass and width with the ATLAS detector using proton-proton collisions at $\sqrt{s}$ = 7 TeV

Reference 20

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Observation b188eb9b-7a2a-4c06-b11e-434c08a47294 · outbound

This paper cites High-precision measurement of the W boson mass with the CMS experiment.

A linear PDF model for Bayesian inference High-precision measurement of the W boson mass with the CMS experiment

Reference 21

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Observation af9cdeec-4108-4981-9572-43f6708f15a4 · outbound

This paper cites A critical study of the Monte Carlo replica method.

A linear PDF model for Bayesian inference A critical study of the Monte Carlo replica method

Reference 22

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Observation efc2e324-e012-4319-af98-4296a16608e3 · outbound

This paper cites SIMUnet: an open-source tool for simultaneous global fits of EFT Wilson coefficients and PDFs.

A linear PDF model for Bayesian inference SIMUnet: an open-source tool for simultaneous global fits of EFT Wilson coefficients and PDFs

Reference 23

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Observation 8ce170be-a22f-4418-9fb8-33a7d6e03ed9 · outbound

This paper cites The top quark legacy of the LHC Run II for PDF and SMEFT analyses.

A linear PDF model for Bayesian inference The top quark legacy of the LHC Run II for PDF and SMEFT analyses

Reference 24

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A linear PDF model for Bayesian inference A new generation of simultaneous fits to LHC data using deep learning

Reference 25

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This paper cites Markov Chain Monte Carlo technics applied to Parton Distribution Functions determination: proof of concept.

A linear PDF model for Bayesian inference Markov Chain Monte Carlo technics applied to Parton Distribution Functions determination: proof of concept

Reference 26

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Observation d3b2d8f4-8fdb-4561-8841-ceb636504d91 · outbound

This paper cites New constraints on the up-quark valence distribution in the proton.

A linear PDF model for Bayesian inference New constraints on the up-quark valence distribution in the proton

Reference 27

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This paper cites A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications.

A linear PDF model for Bayesian inference A comparison of Bayesian sampling algorithms for high-dimensional particle physics and cosmology applications

Reference 28

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Observation 44eb9007-5d9e-4396-8dc3-9ac9e7e78f8b · outbound

This paper cites PartonDensity.jl: a novel parton density determination code.

A linear PDF model for Bayesian inference PartonDensity.jl: a novel parton density determination code

Reference 29

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This paper cites Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions.

A linear PDF model for Bayesian inference Bayesian Inference with Gaussian Processes for the Determination of Parton Distribution Functions

Reference 30

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A linear PDF model for Bayesian inference Colibri: an open-source tool for Bayesian PDF fits

Reference 31

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A linear PDF model for Bayesian inference The Intrinsic Charm of the Proton

Reference 32

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A linear PDF model for Bayesian inference A review of the intrinsic heavy quark content of the nucleon

Reference 33

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Observation 9060948b-4a62-4f0a-b4f8-39bd296d0457 · outbound

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A linear PDF model for Bayesian inference Evidence for intrinsic charm quarks in the proton

Reference 34

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Observation 2ae65dd1-a586-497f-aafb-a93c0e6b1199 · outbound

This paper cites A Determination of the Charm Content of the Proton.

A linear PDF model for Bayesian inference A Determination of the Charm Content of the Proton

Reference 35

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local_arxiv, observed 2026-05-19T03:17:00.939885Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 3dedbfc6-ee94-4db4-a9fc-a55fff7f9e07 · outbound

This paper cites The intrinsic charm quark valence distribution of the proton.

A linear PDF model for Bayesian inference The intrinsic charm quark valence distribution of the proton

Reference 36

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 0bfc093a-d63a-4cea-bbfc-bd0ed1f30607 · outbound

This paper cites Extended Parameterisations for MSTW PDFs and their effect on Lepton Charge Asymmetry from W Decays.

A linear PDF model for Bayesian inference Extended Parameterisations for MSTW PDFs and their effect on Lepton Charge Asymmetry from W Decays

Reference 37

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local_arxiv, observed 2026-05-19T03:17:00.962193Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 17646b6e-8eba-445e-8a05-6278301f5d48 · outbound

This paper cites Holmes, J.

A linear PDF model for Bayesian inference Holmes, J

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 24a571cc-b0a5-4ac1-9c37-163fb9162b8a · outbound

This paper cites LHAPDF6: parton density access in the LHC precision era.

A linear PDF model for Bayesian inference LHAPDF6: parton density access in the LHC precision era

Reference 39

Resolution
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Source-reported events for the cited work

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Observation 795d00c2-7356-43b5-a910-89f79047dfff · outbound

This paper cites A determination of parton distributions with faithful uncertainty estimation.

A linear PDF model for Bayesian inference A determination of parton distributions with faithful uncertainty estimation

Reference 40

Resolution
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Observation 5ce20c9f-9226-4869-84f2-45be985abf6f · outbound

This paper cites A first unbiased global NLO determination of parton distributions and their uncertainties.

A linear PDF model for Bayesian inference A first unbiased global NLO determination of parton distributions and their uncertainties

Reference 41

Resolution
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local_arxiv, observed 2026-05-19T03:17:00.904330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 0d07dcbb-d786-4408-ad1a-27e9f797c219 · outbound

This paper cites Towards a new generation of parton densities with deep learning models.

A linear PDF model for Bayesian inference Towards a new generation of parton densities with deep learning models

Reference 42

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arxiv_id, observed 2026-05-19T03:17:01.146792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 67da4b60-5ac1-4eac-95e6-1371f45a9679 · outbound

This paper cites Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure.

A linear PDF model for Bayesian inference Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 43

Resolution
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arxiv_id, observed 2026-05-19T03:17:01.133413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 19edb4bd-651e-4b67-ad03-110fc587f137 · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

A linear PDF model for Bayesian inference Understanding the difficulty of training deep feedforward neural networks

Reference 44

Resolution
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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6a3a6849-babc-46f0-a5e9-396594bed0ab · outbound

This paper cites EKO: Evolution Kernel Operators.

A linear PDF model for Bayesian inference EKO: Evolution Kernel Operators

Reference 45

Resolution
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arxiv_id, observed 2026-05-19T03:17:00.980235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 7188a743-db57-4095-bf2a-df05bb131142 · outbound

This paper cites Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties.

A linear PDF model for Bayesian inference Fitting Parton Distribution Data with Multiplicative Normalization Uncertainties

Reference 46

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:17:00.918327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 1ab89df1-e779-4290-952c-bd59fed2496d · outbound

This paper cites A First Determination of Parton Distributions with Theoretical Uncertainties.

A linear PDF model for Bayesian inference A First Determination of Parton Distributions with Theoretical Uncertainties

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:17:00.971233Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation a94f7672-29a4-4373-aba1-a3fec58ac0f1 · outbound

This paper cites Parton Distributions with Theory Uncertainties: General Formalism and First Phenomenological Studies.

A linear PDF model for Bayesian inference Parton Distributions with Theory Uncertainties: General Formalism and First Phenomenological Studies

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:17:00.889157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation abb5fc9c-7f42-4e90-9419-24c6a352fbe6 · outbound

This paper cites Can $\overline{\rm { MS}}$ parton distributions be negative?.

A linear PDF model for Bayesian inference Can $\overline{\rm { MS}}$ parton distributions be negative?

Reference 49

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arxiv_id, observed 2026-05-19T03:17:00.993415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 3ed3440d-290e-4ff4-a90c-da0c8372c949 · outbound

This paper cites On the positivity of MSbar parton distributions.

A linear PDF model for Bayesian inference On the positivity of MSbar parton distributions

Reference 50

Resolution
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local_arxiv, observed 2026-05-19T03:17:00.899188Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation ad5d4e35-2d92-40e4-a698-fdeca7c7f570 · outbound

This paper cites Collaborative Nested Sampling: Big Data vs. complex physical models.

A linear PDF model for Bayesian inference Collaborative Nested Sampling: Big Data vs. complex physical models

Reference 51

Resolution
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arxiv_id, observed 2026-05-19T03:17:01.025519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation d13c0a44-8b1b-4149-90c3-dc4f0ff41807 · outbound

This paper cites UltraNest -- a robust, general purpose Bayesian inference engine.

A linear PDF model for Bayesian inference UltraNest -- a robust, general purpose Bayesian inference engine

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:17:00.909175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation edd8c0d5-8b55-4c56-bcb1-42dfe9e79638 · outbound

This paper cites an unresolved cited work.

A linear PDF model for Bayesian inference Unresolved cited work

Reference 53

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 8edb8531-4086-4ae8-93cb-52549edfbf35 · outbound

This paper cites Deuteron Uncertainties in the Determination of Proton PDFs.

A linear PDF model for Bayesian inference Deuteron Uncertainties in the Determination of Proton PDFs

Reference 54

Resolution
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arxiv_id, observed 2026-05-19T03:17:00.935506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 014a9043-7977-49e3-900f-246d6c73fe5a · outbound

This paper cites Accurate Measurement of F2d/F2p and Rd-Rp.

A linear PDF model for Bayesian inference Accurate Measurement of F2d/F2p and Rd-Rp

Reference 55

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:17:00.954149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 23f0e546-6452-4aa5-9732-24b6afd11e88 · outbound

This paper cites Precise measurements of the proton and deuteron structure functions from a global analysis of the SLAC deep inelastic electron scattering cross-sections.

A linear PDF model for Bayesian inference Precise measurements of the proton and deuteron structure functions from a global analysis of the SLAC deep inelastic electron scattering cross-sections

Reference 56

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 9899faf0-fa04-4e58-bd20-3a82f1ef3ff9 · outbound

This paper cites A High Statistics Measurement of the Proton Structure Functions F2(x, Q2) and R from Deep Inelastic Muon Scattering at High Q2.

A linear PDF model for Bayesian inference A High Statistics Measurement of the Proton Structure Functions F2(x, Q2) and R from Deep Inelastic Muon Scattering at High Q2

Reference 57

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 3ae86a24-2305-4e50-8997-f5c5a728b8a1 · outbound

This paper cites Measurement of the proton and deuteron structure functions, F2p and F2d, and of the ratio sigma(L)/sigma(T).

A linear PDF model for Bayesian inference Measurement of the proton and deuteron structure functions, F2p and F2d, and of the ratio sigma(L)/sigma(T)

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:17:00.989418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation a97c4a77-3b80-466c-ac5a-1888a837d1ab · outbound

This paper cites Measurement of nucleon structure functions in neutrino scattering.

A linear PDF model for Bayesian inference Measurement of nucleon structure functions in neutrino scattering

Reference 59

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 31876b00-d4f6-40c1-8136-525192851590 · outbound

This paper cites Precise Measurement of Dimuon Production Cross-Sections in muon neutrino Fe and muon antineutrino Fe Deep Inelastic Scattering at the Tevatron.

A linear PDF model for Bayesian inference Precise Measurement of Dimuon Production Cross-Sections in muon neutrino Fe and muon antineutrino Fe Deep Inelastic Scattering at the Tevatron

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:17:01.151370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation db43bbd2-ce3d-4313-bdde-a813ef27f5b4 · outbound

This paper cites Combination and QCD analysis of charm and beauty production cross-section measurements in deep inelastic $ep$ scattering at HERA.

A linear PDF model for Bayesian inference Combination and QCD analysis of charm and beauty production cross-section measurements in deep inelastic $ep$ scattering at HERA

Reference 62

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:17:00.926238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6db0fc33-2d44-44e4-8b62-e497bfc6c50d · outbound

This paper cites The FAIR Guiding Principles for scientific data management and stewardship.

A linear PDF model for Bayesian inference The FAIR Guiding Principles for scientific data management and stewardship

Reference 63

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation ba3408af-1bd8-4e24-b3ab-14edd50caabf · outbound

This paper cites Nnpdf/reportengine: Dask scheduler.

A linear PDF model for Bayesian inference Nnpdf/reportengine: Dask scheduler

Reference 64

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation c1455c36-d3e7-4a43-a676-ae3391f99f99 · outbound

This paper cites an unresolved cited work.

A linear PDF model for Bayesian inference Unresolved cited work

Reference 65

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation e570f9f8-bffd-415f-a73d-21eb4d2a8473 · outbound

This paper cites An open-source machine learning framework for global analyses of parton distributions.

A linear PDF model for Bayesian inference An open-source machine learning framework for global analyses of parton distributions

Reference 66

Resolution
verified exact
arxiv_id, observed 2026-05-19T03:17:01.141960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 394c0769-8fc1-4597-846a-9c2d2cdfffdd · outbound

This paper cites Nnpdf/eko: v0.13.5.

A linear PDF model for Bayesian inference Nnpdf/eko: v0.13.5

Reference 67

Resolution
verified exact
doi, observed 2026-05-19T03:17:00.684631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6aedd771-6f8b-47a6-83d1-c6e3067cd88d · outbound

This paper cites A High Statistics Measurement of the Proton Structure Functions F(2) (x, Q**2) and R from Deep Inelastic Muon Scattering at High Q**2.

A linear PDF model for Bayesian inference A High Statistics Measurement of the Proton Structure Functions F(2) (x, Q**2) and R from Deep Inelastic Muon Scattering at High Q**2

Reference 68

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 69cb875d-b695-48d0-878b-8b828a51288b · outbound

This paper cites Combination of Measurements of Inclusive Deep Inelastic $e^{\pm}p$ Scattering Cross Sections and QCD Analysis of HERA Data.

A linear PDF model for Bayesian inference Combination of Measurements of Inclusive Deep Inelastic $e^{\pm}p$ Scattering Cross Sections and QCD Analysis of HERA Data

Reference 69

Resolution
verified exact
local_arxiv, observed 2026-05-19T03:17:00.922227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-19T03:14:03.683895Z digest=sha256:cc7d165551d650e226a89a07a0a0a3416f8d63bd6f14deb61565be951e0f3601

Pith citing papers

Observation e3a3bbab-f241-4765-a691-54edd97601b5 · inbound

Precision QCD with the Electron-Ion Collider cites this paper.

Precision QCD with the Electron-Ion Collider A linear PDF model for Bayesian inference

Reference 294

Resolution
metadata mismatch
local_arxiv, observed 2026-05-10T23:40:54.523828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 248f4655-a942-40b6-a14a-ec29fe5e62f6 · inbound

Proton Structure from Neural Simulation-Based Inference at the LHC cites this paper.

Proton Structure from Neural Simulation-Based Inference at the LHC A linear PDF model for Bayesian inference

Reference 49

Resolution
verified exact
local_arxiv, observed 2026-05-10T15:20:31.438233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 0b953c08-2152-46ff-8a66-a4509b1ff63e · inbound

Some Inverse Problems in Particle Physics cites this paper.

Some Inverse Problems in Particle Physics A linear PDF model for Bayesian inference

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-07-02T22:47:26.161598Z

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No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation f6db263c-e334-4796-bdd4-e547a8316b77 · inbound

Propagating data noise through the fit: the Monte Carlo replica distribution cites this paper.

Propagating data noise through the fit: the Monte Carlo replica distribution A linear PDF model for Bayesian inference

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-07-01T15:45:47.876793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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