Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:37.018709Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2509.02708.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:37.018709Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T23:36:55.617103Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T15:25:47.359001Z
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 422dfd15-cb87-4a5e-8894-27d0662130f3 · outbound
Analysis-ready Generative Unfolding The frontier of simulation-based inference
Reference 1
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Observation e8c2cd4d-bac7-48b0-8940-1450876c3755 · outbound
Analysis-ready Generative Unfolding Presenting Unbinned Differential Cross Section Results
Reference 2
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Observation 10784fe9-56d6-43b0-8dc6-580de0ea9313 · outbound
Analysis-ready Generative Unfolding The Landscape of Unfolding with Machine Learning
Reference 3
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Observation c103547e-0be4-47e7-ac3d-2b416694488e · outbound
Analysis-ready Generative Unfolding Canelli et al.,A Practical Guide to Unbinned Unfolding, 2507.09582
Reference 4
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Observation 6f3ee5ed-15da-4fd4-8090-3a8013deab43 · outbound
Analysis-ready Generative Unfolding OmniFold: A Method to Simultaneously Unfold All Observables
Reference 5
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Observation a89b6519-fb33-4386-b924-4e2e6ba4efec · outbound
Analysis-ready Generative Unfolding Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution
Reference 6
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Observation 1dd4c517-39a7-4aa1-8a56-8874cd765efe · outbound
Analysis-ready Generative Unfolding A simultaneous unbinned differential cross section measurement of twenty-four $Z$+jets kinematic observables with the ATLAS detector
Reference 7
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Observation a9879577-ad3d-4650-87e8-4cea8d1f9fae · outbound
Analysis-ready Generative Unfolding Measurement of jet track functions in $pp$ collisions at $\sqrt{s}=13$ TeV with the ATLAS detector
Reference 8
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Observation e6c614c4-490b-4b01-82ae-7650e2a20651 · outbound
Analysis-ready Generative Unfolding Disentangling Quarks and Gluons with CMS Open Data
Reference 9
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Reference 10
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Observation 67c971ab-adba-4ad4-9132-d293078845fb · outbound
Analysis-ready Generative Unfolding Multidifferential study of identified charged hadron distributions in $Z$-tagged jets in proton-proton collisions at $\sqrt{s}=$13 TeV
Reference 11
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Observation bfd11698-e253-4a49-a024-d2b83fd04c0e · outbound
Analysis-ready Generative Unfolding Unresolved cited work
Reference 12
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Observation 804e9882-d61a-4f50-95f3-41e88a164e34 · outbound
Analysis-ready Generative Unfolding Unresolved cited work
Reference 13
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Observation a5b66b1c-bddf-4612-944b-529a7536cb37 · outbound
Analysis-ready Generative Unfolding Unresolved cited work
Reference 14
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Observation bcb2927c-d313-4e58-9183-d1c671d80ae1 · outbound
Analysis-ready Generative Unfolding Towards Unfolding All Particles in HighQ2 DIS Events
Reference 15
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Observation 01f7be8d-ed1f-49b1-8370-59f2dca085f7 · outbound
Analysis-ready Generative Unfolding Measurement of CollinearDrop jet mass and its correlation with SoftDrop groomed jet substructure observables in $\sqrt{s}=200$ GeV $pp$ collisions by STAR
Reference 16
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Observation c5daf417-2bc5-438b-946a-15924604d47d · outbound
Analysis-ready Generative Unfolding Generalized angularities measurements from STAR at $\sqrt{s_{\rm NN}} = $ 200 GeV
Reference 17
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Observation cd6b6750-8824-4c80-9816-9a85b337a2be · outbound
Analysis-ready Generative Unfolding Machine Learning-Assisted Unfolding for Neutrino Cross-section Measurements with the OmniFold Technique
Reference 18
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Observation 44939c5c-1fea-4791-bae5-4e1f1e69ceed · outbound
Analysis-ready Generative Unfolding Analysis note: measurement of thrust in $e^{+}e^{-}$ collisions at $\sqrt{s}$ = 91 GeV with archived ALEPH data
Reference 19
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Observation 0c9a3d30-915d-4728-ade1-5cb7d2bece6a · outbound
Analysis-ready Generative Unfolding Unfolding with Generative Adversarial Networks
Reference 20
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Observation d71494b5-649c-4b35-ba26-f389d0233f26 · outbound
Analysis-ready Generative Unfolding How to GAN away Detector Effects
Reference 21
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Observation db061866-ce4f-4876-9b91-89948cbaf9e7 · outbound
Analysis-ready Generative Unfolding Invertible Networks or Partons to Detector and Back Again
Reference 22
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Observation b31d9188-ebba-42db-8e22-66765992dbbe · outbound
Analysis-ready Generative Unfolding Learning to Simulate High Energy Particle Collisions from Unlabeled Data
Reference 23
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Observation 1a078651-c5a1-4515-86f4-1af589e2fc5c · outbound
Analysis-ready Generative Unfolding An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training
Reference 24
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Observation 0be1c044-e7fc-43b3-bd20-9a8876555c51 · outbound
Analysis-ready Generative Unfolding Returning CP-Observables to The Frames They Belong
Reference 25
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Observation 321693f9-9459-407a-8b93-aa1178fa7248 · outbound
Analysis-ready Generative Unfolding End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Reference 26
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Observation d71a4094-24dc-498e-8021-16d3cdf55cf1 · outbound
Analysis-ready Generative Unfolding Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion
Reference 27
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Observation 7ca3746f-803a-4528-a682-384d1074fc43 · outbound
Analysis-ready Generative Unfolding Towards Universal Unfolding of Detector Effects in High-Energy Physics using Denoising Diffusion Probabilistic Models
Reference 28
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Observation afd27b27-ee21-42d2-8ce0-9c40811979e8 · outbound
Analysis-ready Generative Unfolding How to Unfold Top Decays
Reference 29
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Observation ae6271bb-709f-45c1-aef8-114d45cefb3f · outbound
Analysis-ready Generative Unfolding Diefenbacher, G.-H
Reference 30
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Observation 32d0d641-be6a-4149-96ff-2763c3127e93 · outbound
Analysis-ready Generative Unfolding Kicking it Off(-shell) with Direct Diffusion
Reference 31
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Observation dad4d17f-1a2d-4c8f-816f-40ba694b467c · outbound
Analysis-ready Generative Unfolding Generative Unfolding with Distribution Mapping
Reference 32
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Observation d536fc29-f47f-4bf1-bbd0-e9adea3bc923 · outbound
Analysis-ready Generative Unfolding Machine learning-based event generator for electron-proton scattering
Reference 33
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Observation 8924c318-5566-4b7b-a887-b2e2077ef3f6 · outbound
Analysis-ready Generative Unfolding Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference
Reference 34
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Observation 9730440b-2171-404c-8ed3-2aa1fc86250c · outbound
Analysis-ready Generative Unfolding Simulation-Prior Independent Neural Unfolding Procedure
Reference 35
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Observation 2bec63cf-d4b4-4b8b-92aa-970626852d34 · outbound
Analysis-ready Generative Unfolding High-Dimensional Unfolding in Large Backgrounds
Reference 36
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Observation 36276c7e-8c66-48b5-a0a2-738abedab909 · outbound
Analysis-ready Generative Unfolding Understanding Event-Generation Networks via Uncertainties
Reference 37
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Observation 8d473795-cf4d-40d7-af00-645089d10919 · outbound
Analysis-ready Generative Unfolding A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties
Reference 38
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Observation d2f6e197-c3d8-427d-ac6f-2d780d0274fc · outbound
Analysis-ready Generative Unfolding How to GAN Event Subtraction
Reference 39
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Observation ac02e3e3-393b-4df1-8fc2-6611b2334784 · outbound
Reference 40
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Observation f5b98bcd-cac4-44f7-832c-7a25c887beff · outbound
Analysis-ready Generative Unfolding Generator Based Inference (GBI)
Reference 41
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Observation f4415e76-2cf7-44f9-a670-11fe51a036f0 · outbound
Analysis-ready Generative Unfolding Efficiency Parameterization with Neural Networks
Reference 42
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Observation 371226f8-f08f-4636-aeb0-4dd32b5615ef · outbound
Analysis-ready Generative Unfolding Precision-Machine Learning for the Matrix Element Method
Reference 43
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Observation 72312384-1fec-466c-8e38-b43af03aef3b · outbound
Analysis-ready Generative Unfolding Flow Matching for Generative Modeling
Reference 44
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Observation 413c9619-efac-4e08-b1ae-0942c21a3385 · outbound
Analysis-ready Generative Unfolding Jet Diffusion versus JetGPT -- Modern Networks for the LHC
Reference 45
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Observation 1e9b39cf-9541-4730-85ff-c2384fae77d6 · outbound
Analysis-ready Generative Unfolding EPiC-ly Fast Particle Cloud Generation with Flow-Matching and Diffusion
Reference 46
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Observation 41b6169a-2542-48bf-af7b-42e5f07299ce · outbound
Analysis-ready Generative Unfolding Brehmer, V
Reference 47
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Observation 1fd31c7a-4c9d-4f90-8e2c-05b651e7dc08 · outbound
Analysis-ready Generative Unfolding Parnassus: An Automated Approach to Accurate, Precise, and Fast Detector Simulation and Reconstruction
Reference 48
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Observation 9e1ba791-3a99-4e77-9501-c412330d7f91 · outbound
Analysis-ready Generative Unfolding CaloDREAM -- Detector Response Emulation via Attentive flow Matching
Reference 49
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Observation cd21bc67-3ec8-4ccd-8480-d3d6c1940eaa · outbound
Analysis-ready Generative Unfolding Efficient many-jet event generation with Flow Matching
Reference 50
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Observation 5c9ff44f-a63a-4411-a5c1-567541e7477e · outbound
Analysis-ready Generative Unfolding An Introduction to PYTHIA 8.2
Reference 51
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Observation a28ce4dc-2f53-41f0-a9b4-a34eb87199ad · outbound
Analysis-ready Generative Unfolding Herwig++ Physics and Manual
Reference 52
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Observation 090b8537-9bf2-419f-9a5e-f0c2b7f1643b · outbound
Analysis-ready Generative Unfolding Reweighting Parton Showers
Reference 53
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Observation 14657f9f-0702-46d8-9449-3fcb4c0d7800 · outbound
Reference 54
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Observation eeae09bc-df68-4030-b2ae-d3b9bf2ad4d5 · outbound
Analysis-ready Generative Unfolding DELPHES 3, A modular framework for fast simulation of a generic collider experiment
Reference 55
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Observation 20ccdff7-db3c-4db2-be37-b1c0800bed9a · outbound
Reference 56
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Observation c48cb997-722b-45a6-8184-bb98cc0fb0e6 · outbound
Analysis-ready Generative Unfolding The anti-k_t jet clustering algorithm
Reference 57
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Observation 9f97c791-b8b6-4eb0-8a4c-abde97384b3b · outbound
Reference 58
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Observation 311d0a3b-f29a-41ed-bc02-f52e6a176dfc · outbound
Analysis-ready Generative Unfolding Recombination Algorithms and Jet Substructure: Pruning as a Tool for Heavy Particle Searches
Reference 59
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Observation 7eadc8c7-7b63-494d-89d6-36eda8871413 · outbound
Analysis-ready Generative Unfolding Techniques for improved heavy particle searches with jet substructure
Reference 60
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Observation 5dc7d7c5-712f-429a-aa9d-616b322e49d7 · outbound
Analysis-ready Generative Unfolding Towards an understanding of jet substructure
Reference 61
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Observation 598b399c-949a-43cb-84f7-c2e193a1ae10 · outbound
Reference 62
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Observation 1033600d-9105-4e90-90a4-5964fb85c7bb · outbound
Analysis-ready Generative Unfolding Identifying Boosted Objects with N-subjettiness
Reference 63
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Observation 671ce155-0696-408a-8cc4-29f979a99bd0 · outbound
Analysis-ready Generative Unfolding Maximizing Boosted Top Identification by Minimizing N-subjettiness
Reference 64
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Observation 47c3c0a8-8fab-4832-b048-855efcad7cbd · outbound
Analysis-ready Generative Unfolding Tools for Unbinned Unfolding
Reference 65
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Observation eef04283-08a2-4911-8849-bd95a7b86379 · outbound
Analysis-ready Generative Unfolding Stay Positive: Neural Refinement of Sample Weights
Reference 66
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Observation fd4b3ef6-2f15-4029-a0f1-6959f89ce059 · inbound
Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows Analysis-ready Generative Unfolding
Reference 31
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Observation bc47cbd2-ba80-476a-9462-52114e6367e5 · inbound
Factorizable Normalizing Flows for parameter-dependent density morphing Analysis-ready Generative Unfolding
Reference 43
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