Toward an event-level analysis of hadron structure using differential programming | Paper Citation Record

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This paper cites , K}.(8) 6 0.2 0.4 0.6 0.8 x 0.2 0.4 0.6 0.8 y LOITS(4×4) 0.2 0.4 0.6 0.8 x 0.2 0.4 0.6 0.8 y LOITS(4×4) + MH 0.2 0.4 0.6 0.8 x 0.2 0.4 0.6 0.8 y LOITS(50×50) FIG.

Toward an event-level analysis of hadron structure using differential programming , K}.(8) 6 0.2 0.4 0.6 0.8 x 0.2 0.4 0.6 0.8 y LOITS(4×4) 0.2 0.4 0.6 0.8 x 0.2 0.4 0.6 0.8 y LOITS(4×4) + MH 0.2 0.4 0.6 0.8 x 0.2 0.4 0.6 0.8 y LOITS(50×50) FIG

Reference 1

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Toward an event-level analysis of hadron structure using differential programming Unresolved cited work

Reference 2

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This paper cites , Lfor all theksegments, i.e.

Toward an event-level analysis of hadron structure using differential programming , Lfor all theksegments, i.e

Reference 3

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Reference 4

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This paper cites xθ = LI(u;X k, Yk(θ)).(13) Here,X k, Yk(θ) represent the subgrid and corre- sponding local CDF values.

Toward an event-level analysis of hadron structure using differential programming xθ = LI(u;X k, Yk(θ)).(13) Here,X k, Yk(θ) represent the subgrid and corre- sponding local CDF values

Reference 5

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This paper cites half-moon.

Toward an event-level analysis of hadron structure using differential programming half-moon

Reference 6

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This paper cites A multidimensional unfolding method based on bayes’ theorem,.

Toward an event-level analysis of hadron structure using differential programming A multidimensional unfolding method based on bayes’ theorem,

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This paper cites Factorization of Hard Processes in QCD.

Toward an event-level analysis of hadron structure using differential programming Factorization of Hard Processes in QCD

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This paper cites First Monte Carlo global analysis of nucleon transversity with lattice QCD constraints.

Toward an event-level analysis of hadron structure using differential programming First Monte Carlo global analysis of nucleon transversity with lattice QCD constraints

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Observation 6fde8f7e-d59e-489f-96f7-daaef73190e0 · outbound

This paper cites Confronting lattice parton distributions with global QCD analysis.

Toward an event-level analysis of hadron structure using differential programming Confronting lattice parton distributions with global QCD analysis

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This paper cites New results in the CTEQ-TEA global analysis of parton distributions in the nucleon.

Toward an event-level analysis of hadron structure using differential programming New results in the CTEQ-TEA global analysis of parton distributions in the nucleon

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This paper cites First global QCD analysis of the TMD $\boldsymbol{g_{1T}}$ from semi-inclusive DIS data.

Toward an event-level analysis of hadron structure using differential programming First global QCD analysis of the TMD $\boldsymbol{g_{1T}}$ from semi-inclusive DIS data

Reference 12

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This paper cites Combination of aN$^3$LO PDFs and implications for Higgs production cross-sections at the LHC.

Toward an event-level analysis of hadron structure using differential programming Combination of aN$^3$LO PDFs and implications for Higgs production cross-sections at the LHC

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This paper cites Global QCD analysis of spin PDFs in the proton with high-xand lattice constraints,.

Toward an event-level analysis of hadron structure using differential programming Global QCD analysis of spin PDFs in the proton with high-xand lattice constraints,

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This paper cites NNLO Global Analysis of Polarized Parton Distribution Functions.

Toward an event-level analysis of hadron structure using differential programming NNLO Global Analysis of Polarized Parton Distribution Functions

Reference 17

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Toward an event-level analysis of hadron structure using differential programming Pion Fragmentation Functions at High Energy Colliders

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This paper cites Bayesian Inferring Nucleon's Gravitation Form Factors via Near-threshold $J/\psi$ Photoproduction.

Toward an event-level analysis of hadron structure using differential programming Bayesian Inferring Nucleon's Gravitation Form Factors via Near-threshold $J/\psi$ Photoproduction

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This paper cites Determination of unpolarized TMD distributions from the fit of Drell-Yan and SIDIS data at N 4LL,.

Toward an event-level analysis of hadron structure using differential programming Determination of unpolarized TMD distributions from the fit of Drell-Yan and SIDIS data at N 4LL,

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This paper cites NNPDFpol2.0: a global determination of polarised PDFs and their uncertainties at next-to-next-to-leading order.

Toward an event-level analysis of hadron structure using differential programming NNPDFpol2.0: a global determination of polarised PDFs and their uncertainties at next-to-next-to-leading order

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This paper cites Machine Learning in Nuclear Physics.

Toward an event-level analysis of hadron structure using differential programming Machine Learning in Nuclear Physics

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This paper cites Presenting Unbinned Differential Cross Section Results.

Toward an event-level analysis of hadron structure using differential programming Presenting Unbinned Differential Cross Section Results

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This paper cites Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties,.

Toward an event-level analysis of hadron structure using differential programming Unbinned inclusive cross-section measurements with machine-learned systematic uncertainties,

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This paper cites Optimal binning of X-ray spectra and response matrix design.

Toward an event-level analysis of hadron structure using differential programming Optimal binning of X-ray spectra and response matrix design

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Toward an event-level analysis of hadron structure using differential programming INFERNO: Inference-Aware Neural Optimisation

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Toward an event-level analysis of hadron structure using differential programming PDE-Foam - a probability-density estimation method using self-adapting phase-space binning

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Toward an event-level analysis of hadron structure using differential programming Constraining Effective Field Theories with Machine Learning

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Toward an event-level analysis of hadron structure using differential programming The frontier of simulation-based inference

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Toward an event-level analysis of hadron structure using differential programming Constraining the Higgs Potential with Neural Simulation-based Inference for Di-Higgs Production

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Toward an event-level analysis of hadron structure using differential programming QCD Theory meets Information Theory,

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Toward an event-level analysis of hadron structure using differential programming Generator Based Inference (GBI)

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Toward an event-level analysis of hadron structure using differential programming Matching NLO QCD computations with Parton Shower simulations: the POWHEG method

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Toward an event-level analysis of hadron structure using differential programming NNLO jet production in neutral and charged current polarized deep inelastic scattering

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Toward an event-level analysis of hadron structure using differential programming PARTONS: PARtonic Tomography Of Nucleon Software. A computing framework for the phenomenology of Generalized Parton Distributions

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This paper cites Study of deeply virtual Compton scattering at the future Electron-Ion Collider.

Toward an event-level analysis of hadron structure using differential programming Study of deeply virtual Compton scattering at the future Electron-Ion Collider

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This paper cites MILOU : a Monte-Carlo for Deeply Virtual Compton Scattering.

Toward an event-level analysis of hadron structure using differential programming MILOU : a Monte-Carlo for Deeply Virtual Compton Scattering

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Toward an event-level analysis of hadron structure using differential programming The dipole model Monte Carlo generator Sartre 1

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Toward an event-level analysis of hadron structure using differential programming Exclusive vector meson production at an electron-ion collider

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Toward an event-level analysis of hadron structure using differential programming $\Upsilon$ photo-production on the proton at the Electron-Ion Collider

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Toward an event-level analysis of hadron structure using differential programming Invertible Networks or Partons to Detector and Back Again

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Toward an event-level analysis of hadron structure using differential programming Morphing parton showers with event derivatives

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Toward an event-level analysis of hadron structure using differential programming MadNIS -- Neural Multi-Channel Importance Sampling

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Toward an event-level analysis of hadron structure using differential programming Interpretable deep learning models for the inference and classification of LHC data

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Toward an event-level analysis of hadron structure using differential programming Fitting a Deep Generative Hadronization Model

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Toward an event-level analysis of hadron structure using differential programming Accurate Surrogate Amplitudes with Calibrated Uncertainties,

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Toward an event-level analysis of hadron structure using differential programming Differentiable MadNIS-Lite

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Toward an event-level analysis of hadron structure using differential programming Communicating Likelihoods with Normalising Flows

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Toward an event-level analysis of hadron structure using differential programming Unfolding with Generative Adversarial Networks

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Toward an event-level analysis of hadron structure using differential programming How to GAN away Detector Effects

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Toward an event-level analysis of hadron structure using differential programming Learning to Simulate High Energy Particle Collisions from Unlabeled Data

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Toward an event-level analysis of hadron structure using differential programming Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference

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Toward an event-level analysis of hadron structure using differential programming An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training

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Toward an event-level analysis of hadron structure using differential programming Unifying Simulation and Inference with Normalizing Flows

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Toward an event-level analysis of hadron structure using differential programming Improving generative model-based unfolding with Schr¨ odinger bridges,

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Toward an event-level analysis of hadron structure using differential programming Moment Unfolding

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Toward an event-level analysis of hadron structure using differential programming Generative Unfolding with Distribution Mapping

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Toward an event-level analysis of hadron structure using differential programming How to Unfold Top Decays

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Observation 158e4cfa-463c-483c-81ea-dab93eaa41ce · outbound

This paper cites OmniFold: A Method to Simultaneously Unfold All Observables.

Toward an event-level analysis of hadron structure using differential programming OmniFold: A Method to Simultaneously Unfold All Observables

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.391166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be7b3542-c141-4ad6-b851-a0e2dded3dce · outbound

This paper cites Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution.

Toward an event-level analysis of hadron structure using differential programming Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.396635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8d46552-4e5a-4f93-860c-fe11d94ac00a · outbound

This paper cites SwdFold:A Reweighting and Unfolding method based on Optimal Transport Theory.

Toward an event-level analysis of hadron structure using differential programming SwdFold:A Reweighting and Unfolding method based on Optimal Transport Theory

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.401974Z

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Unavailable: canonical work link unavailable.

Observation 9ae3a399-4bc2-4f4b-bb46-d4c52474a6a0 · outbound

This paper cites Tools for Unbinned Unfolding.

Toward an event-level analysis of hadron structure using differential programming Tools for Unbinned Unfolding

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:29:54.131059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 08be1c6e-8bd3-4c70-bf07-ebc55aecc7d2 · outbound

This paper cites High-Dimensional Unfolding in Large Backgrounds.

Toward an event-level analysis of hadron structure using differential programming High-Dimensional Unfolding in Large Backgrounds

Reference 70

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:29:54.103422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 232eb385-a4a4-4cc3-8e39-82c10e2a8610 · outbound

This paper cites CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation,.

Toward an event-level analysis of hadron structure using differential programming CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation,

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.419431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46401279-2a82-4d9b-8595-090b6b00f580 · outbound

This paper cites Unbinned Inference with Correlated Events,.

Toward an event-level analysis of hadron structure using differential programming Unbinned Inference with Correlated Events,

Reference 75

Resolution: verified exact; raw_fallback, observed 2026-08-06T15:29:53.968497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b979c58e-ff00-4843-ac60-38f913d05be8 · outbound

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

Toward an event-level analysis of hadron structure using differential programming Bayesian Approach to Inverse Problems: an Application to NNPDF Closure Testing

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.428826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d965e71d-9920-4ebc-8e90-d9492535bd12 · outbound

This paper cites New Generation of Parton Distributions with Uncertainties from Global QCD Analysis.

Toward an event-level analysis of hadron structure using differential programming New Generation of Parton Distributions with Uncertainties from Global QCD Analysis

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.433775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514fa61b-60d2-4bdd-837a-f454bcf8eec7 · outbound

This paper cites First Monte Carlo analysis of fragmentation functions from single-inclusive $e^+ e^-$ annihilation.

Toward an event-level analysis of hadron structure using differential programming First Monte Carlo analysis of fragmentation functions from single-inclusive $e^+ e^-$ annihilation

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.439059Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fc49457-50db-4065-a78f-b938b916e5b8 · outbound

This paper cites Deeply Virtual Compton Scattering.

Toward an event-level analysis of hadron structure using differential programming Deeply Virtual Compton Scattering

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.444105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76327628-2148-4e94-993d-34e8f30fbfa4 · outbound

This paper cites Unraveling hadron structure with generalized parton distributions.

Toward an event-level analysis of hadron structure using differential programming Unraveling hadron structure with generalized parton distributions

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.449040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50862f21-92bc-40b3-8620-1f94753d5f0b · outbound

This paper cites Kernel methods for evolution of generalized parton distributions.

Toward an event-level analysis of hadron structure using differential programming Kernel methods for evolution of generalized parton distributions

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.454818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24c717c2-8ec7-4ae1-8290-f0cf67fa79df · outbound

This paper cites Code for prompt numerical computation of the leading order GPD evolution.

Toward an event-level analysis of hadron structure using differential programming Code for prompt numerical computation of the leading order GPD evolution

Reference 85

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:29:53.740994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ad2b46a7-be2a-4fee-a1ad-28c2988ae371 · outbound

This paper cites Revisiting evolution equations for generalised parton distributions.

Toward an event-level analysis of hadron structure using differential programming Revisiting evolution equations for generalised parton distributions

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.464610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bd2facb9-8c01-42fc-97c9-54ff22884655 · outbound

This paper cites The deconvolution problem of deeply virtual Compton scattering.

Toward an event-level analysis of hadron structure using differential programming The deconvolution problem of deeply virtual Compton scattering

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.470107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 760aabe4-6c4a-4391-9bb2-017655a6762c · outbound

This paper cites Shedding light on shadow generalized parton distributions.

Toward an event-level analysis of hadron structure using differential programming Shedding light on shadow generalized parton distributions

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.475562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a7cbdd81-2427-4bb9-8ef7-84bf7d5092ad · outbound

This paper cites Extraction of the Parton Momentum-Fraction Dependence of Generalized Parton Distributions from Exclusive Photoproduction.

Toward an event-level analysis of hadron structure using differential programming Extraction of the Parton Momentum-Fraction Dependence of Generalized Parton Distributions from Exclusive Photoproduction

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.480335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 682430f4-38e9-44f7-9c23-525a4cb3d722 · outbound

This paper cites Flow-based generative models for Markov chain Monte Carlo in lattice field theory.

Toward an event-level analysis of hadron structure using differential programming Flow-based generative models for Markov chain Monte Carlo in lattice field theory

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.485797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cffe32bf-f136-4e18-a9d7-259dca8bc299 · outbound

This paper cites Resampling base distributions of normalizing flows,.

Toward an event-level analysis of hadron structure using differential programming Resampling base distributions of normalizing flows,

Reference 92

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:29:55.661993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9282113b-abe7-4226-a05e-9ce4879b805b · outbound

This paper cites Accelerating Markov Chain Monte Carlo sampling with diffusion models.

Toward an event-level analysis of hadron structure using differential programming Accelerating Markov Chain Monte Carlo sampling with diffusion models

Reference 93

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:29:53.616413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e45c3bcd-5b30-4a32-8c02-3734c1b1752f · outbound

This paper cites Generative adversarial nets,.

Toward an event-level analysis of hadron structure using differential programming Generative adversarial nets,

Reference 94

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:29:55.644660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7f4e25a8-cefb-420b-a4ed-3766590a349c · outbound

This paper cites SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver.

Toward an event-level analysis of hadron structure using differential programming SAGIPS: A Scalable Asynchronous Generative Inverse Problem Solver

Reference 95

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:29:53.589015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4136d5c3-efd4-4a73-a588-538eac5cf082 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Toward an event-level analysis of hadron structure using differential programming Adam: A Method for Stochastic Optimization

Reference 96

Resolution: unresolved; no resolver link, observed 2026-08-06T15:29:53.511302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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