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Paper Citation Record · LEDGER

Simulation-Prior Independent Neural Unfolding Procedure

As of 7 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 6 inbound Pith citation observations for arXiv:2507.15084.

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

pith.paper-citation-record.v1
2507.15084 v1

Coverage vector

measured 68 of 68 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-06T15:48:44.383736Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T23:36:55.837444Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T14:27:03.812344Z

Reference resolution

68 of 68 outbound references displayed

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Outbound references

Observation d5c4002b-a0dd-493f-b047-d94aee581980 · outbound

This paper cites Event Generators for High-Energy Physics Experiments.

Simulation-Prior Independent Neural Unfolding Procedure Event Generators for High-Energy Physics Experiments

Reference 1

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Observation f86194dd-8580-40df-9abe-4e1894aeb0e7 · outbound

This paper cites Machine Learning and LHC Event Generation.

Simulation-Prior Independent Neural Unfolding Procedure Machine Learning and LHC Event Generation

Reference 2

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Observation 3c607635-5204-487b-ac0e-be64007ac30f · outbound

This paper cites O new physics, where art thou? A global search in the top sector.

Simulation-Prior Independent Neural Unfolding Procedure O new physics, where art thou? A global search in the top sector

Reference 3

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Observation 9fd1e0eb-00ad-4052-b5d7-b564b08f76f8 · outbound

This paper cites Staying on Top of SMEFT-Likelihood Analyses.

Simulation-Prior Independent Neural Unfolding Procedure Staying on Top of SMEFT-Likelihood Analyses

Reference 4

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Observation a73b26cc-a7e5-49e3-890b-ab8b3fc28a70 · outbound

This paper cites Cowan, A survey of unfolding methods for particle physics, Conf.

Simulation-Prior Independent Neural Unfolding Procedure Cowan, A survey of unfolding methods for particle physics, Conf

Reference 5

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Observation 8a8a6ce9-8ae8-43b2-9516-c8bd314f4dd8 · outbound

This paper cites Spano,Unfolding in particle physics: a window on solving inverse problems, EPJ Web Conf.

Simulation-Prior Independent Neural Unfolding Procedure Spano,Unfolding in particle physics: a window on solving inverse problems, EPJ Web Conf

Reference 6

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Observation 1978bbb2-58be-40cd-b870-f394ae4fb0f9 · outbound

This paper cites Arratia et al., Publishing unbinned differential cross section results, JINST 17 (9,.

Simulation-Prior Independent Neural Unfolding Procedure Arratia et al., Publishing unbinned differential cross section results, JINST 17 (9,

Reference 7

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Observation 263489f3-cef7-4924-a0d5-ae82425c817e · outbound

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

Simulation-Prior Independent Neural Unfolding Procedure OmniFold: A Method to Simultaneously Unfold All Observables

Reference 8

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Observation a7360656-964f-488e-b10a-07c5c4748081 · outbound

This paper cites How to GAN away Detector Effects.

Simulation-Prior Independent Neural Unfolding Procedure How to GAN away Detector Effects

Reference 9

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Observation 1d0312b9-934a-4009-a59f-b674fd32f979 · outbound

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

Simulation-Prior Independent Neural Unfolding Procedure Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 10

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Observation b8416da6-f66a-44c6-8954-309060b92da2 · outbound

This paper cites Unfolding with Generative Adversarial Networks.

Simulation-Prior Independent Neural Unfolding Procedure Unfolding with Generative Adversarial Networks

Reference 11

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Observation 5352de10-7b29-4c40-b882-6f687a774d9c · outbound

This paper cites Learning to Simulate High Energy Particle Collisions from Unlabeled Data.

Simulation-Prior Independent Neural Unfolding Procedure Learning to Simulate High Energy Particle Collisions from Unlabeled Data

Reference 12

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Observation 2614cfb6-414b-433f-a5d1-f348cd4e590f · outbound

This paper cites Diefenbacher, G.-H.

Simulation-Prior Independent Neural Unfolding Procedure Diefenbacher, G.-H

Reference 13

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Observation 8f1c36c2-1ac8-4c68-bcee-4af4243e777e · outbound

This paper cites Kicking it Off(-shell) with Direct Diffusion.

Simulation-Prior Independent Neural Unfolding Procedure Kicking it Off(-shell) with Direct Diffusion

Reference 14

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Observation afc6c97a-e0d1-40fc-a64f-f80bce007b45 · outbound

This paper cites Generative Unfolding with Distribution Mapping.

Simulation-Prior Independent Neural Unfolding Procedure Generative Unfolding with Distribution Mapping

Reference 15

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Observation be345d98-7ea4-4f21-b9da-4afd0480b187 · outbound

This paper cites Invertible Networks or Partons to Detector and Back Again.

Simulation-Prior Independent Neural Unfolding Procedure Invertible Networks or Partons to Detector and Back Again

Reference 16

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Observation 6587a893-ed9a-4456-ad5a-008928e18279 · outbound

This paper cites Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference.

Simulation-Prior Independent Neural Unfolding Procedure Neural Empirical Bayes: Source Distribution Estimation and its Applications to Simulation-Based Inference

Reference 17

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Observation dec90129-b358-48e8-8219-03db22ac3ec5 · outbound

This paper cites An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training.

Simulation-Prior Independent Neural Unfolding Procedure An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training

Reference 18

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Observation c4a40f45-22d7-4d2e-a27d-603aa0340b2c · outbound

This paper cites \nu-Flows: Conditional Neutrino Regression.

Simulation-Prior Independent Neural Unfolding Procedure \nu-Flows: Conditional Neutrino Regression

Reference 19

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Observation 419a5917-3db8-4972-9e7a-f7717b3c23cd · outbound

This paper cites Returning CP-Observables to The Frames They Belong.

Simulation-Prior Independent Neural Unfolding Procedure Returning CP-Observables to The Frames They Belong

Reference 20

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Observation b81ac8be-5462-47f4-ab5d-7ee5535740dd · outbound

This paper cites End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics.

Simulation-Prior Independent Neural Unfolding Procedure End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics

Reference 21

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Observation 1d71114b-a0df-43ad-b978-78af53af45b1 · outbound

This paper cites Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion.

Simulation-Prior Independent Neural Unfolding Procedure Full Event Particle-Level Unfolding with Variable-Length Latent Variational Diffusion

Reference 22

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Observation db07d361-3f14-45c9-8107-7152604cb36a · outbound

This paper cites The Landscape of Unfolding with Machine Learning.

Simulation-Prior Independent Neural Unfolding Procedure The Landscape of Unfolding with Machine Learning

Reference 23

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Observation 6f892be4-3bc8-470f-b28a-9f2440e88f80 · outbound

This paper cites an unresolved cited work.

Simulation-Prior Independent Neural Unfolding Procedure Unresolved cited work

Reference 24

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Observation e8fe37c2-2e70-475b-a8d1-b309182cf899 · outbound

This paper cites D’Agostini, A Multidimensional unfolding method based on Bayes’ theorem, Nucl.

Simulation-Prior Independent Neural Unfolding Procedure D’Agostini, A Multidimensional unfolding method based on Bayes’ theorem, Nucl

Reference 25

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Observation 6ab8d6bb-8648-47e4-aa3b-42a6e3c94d86 · outbound

This paper cites SVD Approach to Data Unfolding.

Simulation-Prior Independent Neural Unfolding Procedure SVD Approach to Data Unfolding

Reference 26

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Observation 81d2b266-af67-4477-996a-a690c765030e · outbound

This paper cites TUnfold: an algorithm for correcting migration effects in high energy physics.

Simulation-Prior Independent Neural Unfolding Procedure TUnfold: an algorithm for correcting migration effects in high energy physics

Reference 27

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Observation c1afc2a1-723b-4a26-86c8-a298e1dec5fc · outbound

This paper cites Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods.

Simulation-Prior Independent Neural Unfolding Procedure Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods

Reference 28

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Observation d77c3453-b1ad-4d31-a901-a17510dd9a54 · outbound

This paper cites How to Unfold Top Decays.

Simulation-Prior Independent Neural Unfolding Procedure How to Unfold Top Decays

Reference 29

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Observation 9df3a5b6-15b1-4eca-b219-fff2ea1900bb · outbound

This paper cites Andreevet al., Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding, arXiv:2108.12376 [hep-ex].

Simulation-Prior Independent Neural Unfolding Procedure Andreevet al., Measurement of lepton-jet correlation in deep-inelastic scattering with the H1 detector using machine learning for unfolding, arXiv:2108.12376 [hep-ex]

Reference 30

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Observation 25c21e6e-2c8d-4e4f-b5ab-fa9fad0ab699 · outbound

This paper cites Andreevet al., Unbinned deep learning jet substructure measurement in high Q2ep collisions at HERA, Phys.

Simulation-Prior Independent Neural Unfolding Procedure Andreevet al., Unbinned deep learning jet substructure measurement in high Q2ep collisions at HERA, Phys

Reference 31

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Observation ff8fbc1f-b354-4622-b81f-79cd23674a46 · outbound

This paper cites Multidifferential study of identified charged hadron distributions in $Z$-tagged jets in proton-proton collisions at $\sqrt{s}=$13 TeV.

Simulation-Prior Independent Neural Unfolding Procedure Multidifferential study of identified charged hadron distributions in $Z$-tagged jets in proton-proton collisions at $\sqrt{s}=$13 TeV

Reference 32

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Observation b142c2fd-e01b-4d7d-9507-a8253165b4c8 · outbound

This paper cites Disentangling Quarks and Gluons with CMS Open Data.

Simulation-Prior Independent Neural Unfolding Procedure Disentangling Quarks and Gluons with CMS Open Data

Reference 33

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local_arxiv, observed 2026-08-06T15:48:45.148815Z

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Observation f49604a8-3675-4cdc-a0a0-6a7f4d536d27 · outbound

This paper cites Measurement of CollinearDrop jet mass and its correlation with SoftDrop groomed jet substructure observables in $\sqrt{s}=200$ GeV $pp$ collisions by STAR.

Simulation-Prior Independent Neural Unfolding Procedure Measurement of CollinearDrop jet mass and its correlation with SoftDrop groomed jet substructure observables in $\sqrt{s}=200$ GeV $pp$ collisions by STAR

Reference 34

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Observation 6449683f-cf73-4da7-9ff7-02956a9de72b · outbound

This paper cites Boosting the Direct CP Measurement of the Higgs-Top Coupling.

Simulation-Prior Independent Neural Unfolding Procedure Boosting the Direct CP Measurement of the Higgs-Top Coupling

Reference 35

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Observation e3dc84db-6d6e-4977-895e-dadb6e30a429 · outbound

This paper cites Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC.

Simulation-Prior Independent Neural Unfolding Procedure Unveiling CP property of top-Higgs coupling with graph neural networks at the LHC

Reference 36

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

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Observation e20a2844-55ba-4a01-ba20-545d35e9cbd5 · outbound

This paper cites Optimized probes of $CP$-odd effects in the $t \bar{t} h$ process at hadron colliders.

Simulation-Prior Independent Neural Unfolding Procedure Optimized probes of $CP$-odd effects in the $t \bar{t} h$ process at hadron colliders

Reference 37

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Observation 4e9caef2-59ce-4e76-bcd4-1fc9e0e5235b · outbound

This paper cites Indirect $\mathcal{CP}$ probes of the Higgs-top-quark interaction: current LHC constraints and future opportunities.

Simulation-Prior Independent Neural Unfolding Procedure Indirect $\mathcal{CP}$ probes of the Higgs-top-quark interaction: current LHC constraints and future opportunities

Reference 38

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Observation dee02bfa-4da5-47a2-b441-cc7d65c92805 · outbound

This paper cites Probing the CP structure of the top quark Yukawa coupling: Loop sensitivity vs. on-shell sensitivity.

Simulation-Prior Independent Neural Unfolding Procedure Probing the CP structure of the top quark Yukawa coupling: Loop sensitivity vs. on-shell sensitivity

Reference 39

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source=pdf_text observed=2026-08-06T15:48:40.948788Z digest=sha256:1acfdbe7a8c90efb855b18dd06f56d8868ebb50304911f6c81afd0760a9af217

Observation 1b5c32ce-95d3-4c9a-be6c-a077e90256ed · outbound

This paper cites Direct Higgs-top CP-phase measurement with $t\bar{t}h$ at the 14 TeV LHC and 100 TeV FCC.

Simulation-Prior Independent Neural Unfolding Procedure Direct Higgs-top CP-phase measurement with $t\bar{t}h$ at the 14 TeV LHC and 100 TeV FCC

Reference 40

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source=pdf_text observed=2026-08-06T15:48:41.079310Z digest=sha256:86bf540930a17200ee819b479a3dcdc5548b312c1426faf81073c36fa7e0faf4

Observation 7f2acef8-b4f9-41b0-ad30-eb13264c0f9d · outbound

This paper cites Machine learning the Higgs boson-top quark CP phase.

Simulation-Prior Independent Neural Unfolding Procedure Machine learning the Higgs boson-top quark CP phase

Reference 41

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source=pdf_text observed=2026-08-06T15:48:41.215305Z digest=sha256:9fa34539ce3a6798290b251f6c9d5687f28ad08182f109c7ea5c4a7d2e487d9d

Observation 1d5afe76-cc76-43ee-ba1a-03a7d53c3af6 · outbound

This paper cites Constraining CP-violation in the Higgs-top-quark interaction using machine-learning-based inference.

Simulation-Prior Independent Neural Unfolding Procedure Constraining CP-violation in the Higgs-top-quark interaction using machine-learning-based inference

Reference 42

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source=pdf_text observed=2026-08-06T15:48:41.350060Z digest=sha256:c9adab2eb212133c17400943b680564d1c815cbef022106a3a701578668c17c8

Observation 29001500-e0c0-4afb-820c-d4387333e29b · outbound

This paper cites Exploring BSM Higgs couplings in single top-quark production.

Simulation-Prior Independent Neural Unfolding Procedure Exploring BSM Higgs couplings in single top-quark production

Reference 43

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source=pdf_text observed=2026-08-06T15:48:41.463323Z digest=sha256:f8b43b44646ae114c767511245e7860adbe3792c942f9d3336c3586ff977363d

Observation fd7d1ebc-b03c-4cf7-8102-56c413255892 · outbound

This paper cites Modern Machine Learning for LHC Physicists.

Simulation-Prior Independent Neural Unfolding Procedure Modern Machine Learning for LHC Physicists

Reference 44

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source=pdf_text observed=2026-08-06T15:48:41.560529Z digest=sha256:8cec380c1084d1df0ab586eb54b7cae99de7fbba0f4cb331fc04bce63b5ef363

Observation 1af2c5af-3a8c-4731-a708-d4e403eaf987 · outbound

This paper cites Two Invertible Networks for the Matrix Element Method.

Simulation-Prior Independent Neural Unfolding Procedure Two Invertible Networks for the Matrix Element Method

Reference 45

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source=pdf_text observed=2026-08-06T15:48:41.671936Z digest=sha256:ce25e0631bb3f433b99f872e8ffacddfa8609db695bd03ae28567f77dc664aa8

Observation 5a0f0b4c-2f91-4801-98a9-43fa666fff89 · outbound

This paper cites Precision-Machine Learning for the Matrix Element Method.

Simulation-Prior Independent Neural Unfolding Procedure Precision-Machine Learning for the Matrix Element Method

Reference 46

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source=pdf_text observed=2026-08-06T15:48:41.806398Z digest=sha256:a40a8ba5de8231a2271ffbc2437f7c39a61c858313671f1a531353fd19046b20

Observation 6b2d8971-660a-4368-9936-6b81038c13ed · outbound

This paper cites MadNIS -- Neural Multi-Channel Importance Sampling.

Simulation-Prior Independent Neural Unfolding Procedure MadNIS -- Neural Multi-Channel Importance Sampling

Reference 47

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source=pdf_text observed=2026-08-06T15:48:41.956170Z digest=sha256:be340ba5c8e427c62757c5625cf4312eb01e47d6b388876e2d6680a50367e359

Observation 75a43fe3-53e2-4982-965e-01585b83d2e1 · outbound

This paper cites The MadNIS Reloaded.

Simulation-Prior Independent Neural Unfolding Procedure The MadNIS Reloaded

Reference 48

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source=pdf_text observed=2026-08-06T15:48:42.121289Z digest=sha256:27e8fcb55008bb2fc54eabf6297fecf9fee0bb5dd5802ccbf46e4bee5c7275e4

Observation d77339b8-a97b-4fdd-b269-84d4ff5faf32 · outbound

This paper cites Differentiable MadNIS-Lite.

Simulation-Prior Independent Neural Unfolding Procedure Differentiable MadNIS-Lite

Reference 49

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source=pdf_text observed=2026-08-06T15:48:42.265391Z digest=sha256:e4f74898b4f3f2ffec5c1fd747bc071af11ae3b5a206d73ce85af396c5911d64

Observation 4fc218fc-32d3-4a9b-98d2-0b84b5bccdb4 · outbound

This paper cites Importance Weighted Autoencoders.

Simulation-Prior Independent Neural Unfolding Procedure Importance Weighted Autoencoders

Reference 50

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source=pdf_text observed=2026-08-06T15:48:42.374846Z digest=sha256:2a7ce4996d732dbf0079f4249cd6e88beff225bfdb99f663e5d825d0a88098d2

Observation 83c81ac6-1a00-42ea-9a65-7e6011547dba · outbound

This paper cites Jet Diffusion versus JetGPT -- Modern Networks for the LHC.

Simulation-Prior Independent Neural Unfolding Procedure Jet Diffusion versus JetGPT -- Modern Networks for the LHC

Reference 51

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source=pdf_text observed=2026-08-06T15:48:42.497442Z digest=sha256:c02c94cb9bb607ecdba1bc2e7e890bfe7bbc4b338d9fcbb66b14a5f41dbeabe9

Observation 2dc4bb52-ada9-4199-95b8-89526a1af3d5 · outbound

This paper cites Moment Unfolding.

Simulation-Prior Independent Neural Unfolding Procedure Moment Unfolding

Reference 52

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source=pdf_text observed=2026-08-06T15:48:42.653150Z digest=sha256:ea66bbe012e74f8220146f3195a54ec58876911cde78dad1d76c87020aad6029

Observation 4d8fa616-9c5c-4a21-9a4e-b52bc0d1c56e · outbound

This paper cites An Introduction to PYTHIA 8.2.

Simulation-Prior Independent Neural Unfolding Procedure An Introduction to PYTHIA 8.2

Reference 53

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source=pdf_text observed=2026-08-06T15:48:42.782521Z digest=sha256:ce5993f9dd19947f4f0da16ec8a4ef22da0af7da20bdb1bd7196e8ab92bc13c0

Observation ceca57d5-5964-4fe2-b515-6d48dbe681bf · outbound

This paper cites Herwig 7.0 / Herwig++ 3.0 Release Note.

Simulation-Prior Independent Neural Unfolding Procedure Herwig 7.0 / Herwig++ 3.0 Release Note

Reference 54

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source=pdf_text observed=2026-08-06T15:48:42.891638Z digest=sha256:784e69b5558d5dc468483d6c1f7878760ee811b4045dd9fc8b0732351dbe2e72

Observation 977610be-8047-480a-8d61-172167b41ab0 · outbound

This paper cites DELPHES 3, A modular framework for fast simulation of a generic collider experiment.

Simulation-Prior Independent Neural Unfolding Procedure DELPHES 3, A modular framework for fast simulation of a generic collider experiment

Reference 55

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source=pdf_text observed=2026-08-06T15:48:42.994222Z digest=sha256:e8a3b2d00e8d9005d7997780b9fb046165da147355ab984a81ba11ed57b7c1e7

Observation df4e72ab-653f-484b-8bd7-98cb41ab9e0f · outbound

This paper cites The anti-k_t jet clustering algorithm.

Simulation-Prior Independent Neural Unfolding Procedure The anti-k_t jet clustering algorithm

Reference 56

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source=pdf_text observed=2026-08-06T15:48:43.124735Z digest=sha256:30fb15fd325da4d0a9bd3dadc031c4f92cc9dc9f9d3d4295a22593126d3062eb

Observation bff06069-054f-41f0-a506-0f0161e22e2f · outbound

This paper cites FastJet user manual.

Simulation-Prior Independent Neural Unfolding Procedure FastJet user manual

Reference 57

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source=pdf_text observed=2026-08-06T15:48:43.238949Z digest=sha256:f0a4b7f6579fb2384c051aa258ed4288473ebf218e3771285ab8702d94a602f0

Observation 34ff741c-382b-49d2-beac-dc623cee895b · outbound

This paper cites Soft Drop.

Simulation-Prior Independent Neural Unfolding Procedure Soft Drop

Reference 58

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source=pdf_text observed=2026-08-06T15:48:43.348748Z digest=sha256:339efe6a8076fda6f06443140a824301b1276bb690bc19ce4ce4b98718d2d13f

Observation 08df0105-3463-4d2d-9944-d22e2f22bd8d · outbound

This paper cites Towards an understanding of jet substructure.

Simulation-Prior Independent Neural Unfolding Procedure Towards an understanding of jet substructure

Reference 59

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source=pdf_text observed=2026-08-06T15:48:43.457977Z digest=sha256:5e51689912bc8b28f6c1ce1d64520766a4ce9f1da1b63eb762f304fbd94afa70

Observation 4db9a286-b6ec-4da1-a261-f78993fa0917 · outbound

This paper cites Identifying Boosted Objects with N-subjettiness.

Simulation-Prior Independent Neural Unfolding Procedure Identifying Boosted Objects with N-subjettiness

Reference 60

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source=pdf_text observed=2026-08-06T15:48:43.554302Z digest=sha256:71f6c6619e963aa70b3267ccc253c34d35950d8e84e0d3f411ca007ebb730575

Observation 4fc67a3a-cdc8-4ea8-937c-6403623bfed5 · outbound

This paper cites A framework for Higgs characterisation.

Simulation-Prior Independent Neural Unfolding Procedure A framework for Higgs characterisation

Reference 61

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source=pdf_text observed=2026-08-06T15:48:43.705396Z digest=sha256:c98d656a2088a1331348771a6886ea4669e3cd246a5f4aca482d624e2d9b4130

Observation b4637624-5c55-4c94-85ec-378bfa913337 · outbound

This paper cites Higgs production in association with a single top quark at the LHC.

Simulation-Prior Independent Neural Unfolding Procedure Higgs production in association with a single top quark at the LHC

Reference 62

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source=pdf_text observed=2026-08-06T15:48:43.805299Z digest=sha256:fc73e7c6587653274002568413b9dc58c1497e865ba4646c042ca5a4a6834811

Observation 2d3afaa6-b45c-4778-a352-1bf3945e7f75 · outbound

This paper cites Maximum Significance at the LHC and Higgs Decays to Muons.

Simulation-Prior Independent Neural Unfolding Procedure Maximum Significance at the LHC and Higgs Decays to Muons

Reference 63

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source=pdf_text observed=2026-08-06T15:48:43.936170Z digest=sha256:717889610b0b962355131d4a9c5b47d2f67afab14528bbb98e12a5554b41be55

Observation 95eaf578-3073-49c1-a341-ae81a211147c · outbound

This paper cites The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations.

Simulation-Prior Independent Neural Unfolding Procedure The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Reference 64

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Observation 888a5b75-5b88-4f0f-8b93-ed18d71fae0f · outbound

This paper cites an unresolved cited work.

Simulation-Prior Independent Neural Unfolding Procedure Unresolved cited work

Reference 65

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Observation 38ef4314-c923-4b1c-ac50-b8638cd625b7 · outbound

This paper cites Measurement of the differential $\mathrm{t\bar{t}}$ production cross section as a function of the jet mass and extraction of the top quark mass in hadronic decays of boosted top quarks.

Simulation-Prior Independent Neural Unfolding Procedure Measurement of the differential $\mathrm{t\bar{t}}$ production cross section as a function of the jet mass and extraction of the top quark mass in hadronic decays of boosted top quarks

Reference 66

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Observation 6bb42c1e-bbf6-4a2f-a99f-0f99980313df · outbound

This paper cites an unresolved cited work.

Simulation-Prior Independent Neural Unfolding Procedure Unresolved cited work

Reference 2015

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Observation 6b8753a1-476e-47cb-9f1d-f0bb493a03d2 · outbound

This paper cites Presenting Unbinned Differential Cross Section Results.

Simulation-Prior Independent Neural Unfolding Procedure Presenting Unbinned Differential Cross Section Results

Reference 2022

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Pith citing papers

Observation b9e120d9-92a7-4443-aa42-18bb504e0c82 · inbound

Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows cites this paper.

Profiling systematic uncertainties in Simulation-Based Inference with Factorizable Normalizing Flows Simulation-Prior Independent Neural Unfolding Procedure

Reference 33

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Observation c2d267a1-9455-4b56-82b6-f7d24f761975 · inbound

Reweighting Adversarial Networks for Unbinned Unfolding cites this paper.

Reweighting Adversarial Networks for Unbinned Unfolding Simulation-Prior Independent Neural Unfolding Procedure

Reference 31

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arxiv_id, observed 2026-07-02T14:27:03.814083Z

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Observation ea9ad2c1-786b-42d5-af47-83fb3690df69 · inbound

Factorizable Normalizing Flows for parameter-dependent density morphing cites this paper.

Factorizable Normalizing Flows for parameter-dependent density morphing Simulation-Prior Independent Neural Unfolding Procedure

Reference 44

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Observation 2bd24dcd-18c9-4b0d-956e-c0e6c2624d71 · inbound

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning cites this paper.

An Introduction to Bayesian and Frequentist Simulation-Based Inference with Machine Learning Simulation-Prior Independent Neural Unfolding Procedure

Reference 81

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Observation 30c70deb-fba9-49a4-9097-a65a72f46fb5 · inbound

Agentic Re-Casting using Agentic Re-Simulations cites this paper.

Agentic Re-Casting using Agentic Re-Simulations Simulation-Prior Independent Neural Unfolding Procedure

Reference 116

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Observation 45cc4891-6d84-4518-9fb2-24f6f1f076ed · inbound

Neural Control Variates at LO and NLO cites this paper.

Neural Control Variates at LO and NLO Simulation-Prior Independent Neural Unfolding Procedure

Reference 18

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