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Paper Citation Record · LEDGER

Simulation-Prior Independent Neural Unfolding Procedure

As of 14 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 2026-08-14T06:32:32.682623+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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External citation measurements

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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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T15:48:40.523987Z digest=sha256:16a14769b604f0f712b5ec3e2b2b1860c33ae3dee68b18becaf2359a452c985c

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=sha256:2401b128a130a092727996e83d3f889a1d55fba7d58f656d5078aab5ce5a78a9

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=sha256:301720f37874f8bd00795b0b43b910c5c77b9b63055bf2bbe0e78cab6d28c04a

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=sha256:30c62bd8e44db835c73bf5ab97a95ca05ddcffc6cd830ddca959ece6caac1f03

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:f20034720980def89a97e33d4f3099433e4c73451918cabbcffe65be442f30ca

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=sha256:44064943b1db18c73f03ca03df8b3206fa588cedb3b435d642b385121100e349

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:aa3bd3af1dbc6c8fe377c0a04f16210ace67c6e03822f5d7ae92bef937b2e9ee

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:a999f591da0f91179c3a4b03f7f9429a4d80acf0f9c734f38a397a39d143ccf5

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=sha256:8d04adea02efb7e5b6fd0124591c5af515c15840d158618a2335adecc379f251

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=sha256:72ffca443abd9d9b576747516aea57fb866589caa13fc50785a7f83f70869c9c

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=sha256:79e7a92cfe8ae21a1e6f37027fa73110c6e8eeb8d37377d861ec55c6f7aea133

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=sha256:482f37d4ea0aa12387314f075fd0b670754bfa81692f1fb44e16c71a4cc3c0d0

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:c8b7702682beb9b1fcc2de234b19cf05fa3dd973dc12682842390effef4af170

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:be0a10255d5afb089cb2f9f345d387e73209dc3975a06457d94d2c06659bd25a

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=sha256:5c446d8e7d43c57362ee20ac759a07f237f5a71b3791cb74fac6a516e96aaf7a

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=sha256:3091b345a8eab186871779a81ed24e26e337459293b05e513894235a379194a3

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:daf93cbd50292b8b998ed9c731d84d14855f563fd76f1b2d16a914be4a7d9f69

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=sha256:172f1c3951d1c6fc675b356fac494a31b577a14795f67e4fb96bf991de13aab8

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=sha256:72f6a03deef74f9b227f8672dfa4da3d1c1e0b2fda5ea027bd124a530c8fe140

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:a5794121b2ccd6f87a747bd31291048651626c95014d2d0af9528710844a7b31

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=sha256:86104bca6390060e6a576c11bdd6cdb52c410f334fbe293c65d0747f4929c6fa

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:e43db57bdfd4aa671f65fa32ba865da65a1c71698c4263a5a55a010910f7b250

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=sha256:74ec0428bb496e304b78fe0f87fc907ad616ed4afac879fbc12d0b36cebc2cd8

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=sha256:48bc858dd26d95a43b6a54597a15711d15d9a6ad22aeff444b79a59b775a2866

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=sha256:9dfb257bc2741ea0fdd8791292e640c09a79de214af34c0b96e8855f2c0bad4e

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=sha256:4a700b93fba121f9eb218bab837ef00d3ebcef3f91db53969b79992b11f64916

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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