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Paper Citation Record · LEDGER

High-Dimensional Unfolding in Large Backgrounds

As of 13 August 2026, this Paper Citation Record lists 85 of 85 outbound references and 1 inbound Pith citation observation for arXiv:2507.06291.

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

pith.paper-citation-record.v1
2507.06291 v2

Coverage vector

measured 85 of 85 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:14:56.844499Z

measured 86 of 86 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:29:53.413939Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T15:29:54.096358Z

Reference resolution

85 of 85 outbound references displayed

  • verified exact8
  • verified fuzzy0
  • unresolved77
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d276c02d-2574-420d-ace4-555d57c1a12d · outbound

This paper cites Towards Jetography.

High-Dimensional Unfolding in Large Backgrounds Towards Jetography

Reference 1

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Observation 2030633e-7c0e-4fe7-954d-f9bd69a65739 · outbound

This paper cites Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning.

High-Dimensional Unfolding in Large Backgrounds Jet Substructure at the Large Hadron Collider: A Review of Recent Advances in Theory and Machine Learning

Reference 2

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source=pdf_text observed=2026-08-06T19:14:49.241822Z digest=sha256:1a9bd861a35a29de69b43e0dd5516ff14d8b57c593113f571a9d52577b1400ab

Observation fe6a34f8-d769-4e7d-a13d-a2e76e40c7fa · outbound

This paper cites Marzani, G.

High-Dimensional Unfolding in Large Backgrounds Marzani, G

Reference 3

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source=pdf_text observed=2026-08-06T19:14:49.355624Z digest=sha256:09ff375a8509488aa16b8fae068ab28130a46c858894301a50d5f0a6a271da7e

Observation 2c17fa68-e917-4095-a7ae-c3d531658343 · outbound

This paper cites Jet Substructure at the Large Hadron Collider: Experimental Review.

High-Dimensional Unfolding in Large Backgrounds Jet Substructure at the Large Hadron Collider: Experimental Review

Reference 4

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source=pdf_text observed=2026-08-06T19:14:49.443870Z digest=sha256:27abe9e09cd8d585045578a07f8b0397efc3083294d0b9ece3df348c9ccaaebe

Observation a2cd8b21-e697-4363-aa7f-b231a9b01a76 · outbound

This paper cites Jet quenching.

High-Dimensional Unfolding in Large Backgrounds Jet quenching

Reference 5

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source=pdf_text observed=2026-08-06T19:14:49.526635Z digest=sha256:a60548a356147dc32f6894419467a8d413fac93f5417953233b480e55db1533c

Observation 985971c1-45f9-4777-b6cd-481c109420a9 · outbound

This paper cites Review of Jet Measurements in Heavy Ion Collisions.

High-Dimensional Unfolding in Large Backgrounds Review of Jet Measurements in Heavy Ion Collisions

Reference 6

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source=pdf_text observed=2026-08-06T19:14:49.667857Z digest=sha256:5ebb168391ac3be3dc13b05d9d62bc19b03cb2b11cb09d3547e734aedc00870c

Observation 5bb00c94-237d-424d-8335-abc0aabf173a · outbound

This paper cites Studying the QGP with Jets at the LHC and RHIC.

High-Dimensional Unfolding in Large Backgrounds Studying the QGP with Jets at the LHC and RHIC

Reference 7

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source=pdf_text observed=2026-08-06T19:14:49.794450Z digest=sha256:fbd97dc1194b0b0d1d0749a6dfab9d32e56189765eec748e8620293363981890

Observation a795a0e8-81c0-4373-8f7c-417453d85b90 · outbound

This paper cites Zurbano Fernandez et al.,High-Luminosity Large Hadron Collider (HL-LHC): Technical design report,.

High-Dimensional Unfolding in Large Backgrounds Zurbano Fernandez et al.,High-Luminosity Large Hadron Collider (HL-LHC): Technical design report,

Reference 8

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source=pdf_text observed=2026-08-06T19:14:49.890137Z digest=sha256:283a17715195db0b938e759b6291f87fa490e0fac14bec85550a027815774b8a

Observation cc0bd47f-cc92-4ae7-98d9-96b624f6ead9 · outbound

This paper cites Pileup subtraction using jet areas.

High-Dimensional Unfolding in Large Backgrounds Pileup subtraction using jet areas

Reference 9

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no resolver link, observed 2026-08-06T19:14:50.010294Z

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source=pdf_text observed=2026-08-06T19:14:50.010294Z digest=sha256:4999dd22d04601635b4103032362267e1eb949548245f013eca4e86ad3973172

Observation d436fc9c-fc68-4977-9692-cdbe4316338d · outbound

This paper cites Particle-level pileup subtraction for jets and jet shapes.

High-Dimensional Unfolding in Large Backgrounds Particle-level pileup subtraction for jets and jet shapes

Reference 10

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source=pdf_text observed=2026-08-06T19:14:50.151153Z digest=sha256:c7a8c70bb96bd040662e00bd87c11903837a1b36dbea494ee82ecb5fa6c7fa65

Observation ff542cbf-6d5a-4946-bee7-c4ebd63bed90 · outbound

This paper cites SoftKiller, a particle-level pileup removal method.

High-Dimensional Unfolding in Large Backgrounds SoftKiller, a particle-level pileup removal method

Reference 11

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source=pdf_text observed=2026-08-06T19:14:50.217309Z digest=sha256:eed0c62c088d622dd02e7e72cb7338d7162ab4393660ba8dcf62a54dd0aa7178

Observation 9af7818e-92fb-4cce-899f-09e91bdc79a8 · outbound

This paper cites Pileup Per Particle Identification.

High-Dimensional Unfolding in Large Backgrounds Pileup Per Particle Identification

Reference 12

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source=pdf_text observed=2026-08-06T19:14:50.307880Z digest=sha256:738f9b0f3ce60bae8656e5a599ccee9f39511ad762507ae79b7b52e63e0a2f46

Observation 535177a9-f9c9-444d-a7c8-78617b4a72e1 · outbound

This paper cites Pileup mitigation at the Large Hadron Collider with Graph Neural Networks.

High-Dimensional Unfolding in Large Backgrounds Pileup mitigation at the Large Hadron Collider with Graph Neural Networks

Reference 14

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source=pdf_text observed=2026-08-06T19:14:50.366562Z digest=sha256:721350c545874ac28a74e3d4ff1de8f039121fd70ae115ced2738bbee459dd55

Observation 0b337f61-a0b0-4d0b-b02a-fda813c6eb26 · outbound

This paper cites Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction.

High-Dimensional Unfolding in Large Backgrounds Pileup and Underlying Event Mitigation with Iterative Constituent Subtraction

Reference 15

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verified exact
local_arxiv, observed 2026-08-06T19:15:00.211342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 8816fdf3-29a5-4a00-86b3-56b8736f68be · outbound

This paper cites Pileup mitigation at the LHC: a theorist's view.

High-Dimensional Unfolding in Large Backgrounds Pileup mitigation at the LHC: a theorist's view

Reference 16

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source=pdf_text observed=2026-08-06T19:14:50.644741Z digest=sha256:87eb873ba04fdf070d0d5f987374ce6189b5e73b79c2f8a6bbd503fa12c67201

Observation 80cf6d8f-384c-42f1-b983-40c3898c2b1f · outbound

This paper cites Jet physics in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Jet physics in heavy-ion collisions

Reference 22

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source=pdf_text observed=2026-08-06T19:14:50.774237Z digest=sha256:410b443650606cca1983c184ba17c65d8cce6500e1a00c0de8f749c3843eaccc

Observation dfdd7337-9b5d-435e-b194-5f0c69447274 · outbound

This paper cites Jet Structure in Heavy Ion Collisions.

High-Dimensional Unfolding in Large Backgrounds Jet Structure in Heavy Ion Collisions

Reference 23

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Observation de53c960-b4ac-47fd-acbe-24a570e54c8a · outbound

This paper cites Jet Quenching: From Theory to Simulation.

High-Dimensional Unfolding in Large Backgrounds Jet Quenching: From Theory to Simulation

Reference 24

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Observation 0469d1b0-5359-460d-b520-7f90a1286300 · outbound

This paper cites Jet quenching and medium response in high-energy heavy-ion collisions: a review.

High-Dimensional Unfolding in Large Backgrounds Jet quenching and medium response in high-energy heavy-ion collisions: a review

Reference 25

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Observation 9c1041e7-5a29-4bfa-a314-2bc800ac5616 · outbound

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

High-Dimensional Unfolding in Large Backgrounds OmniFold: A Method to Simultaneously Unfold All Observables

Reference 26

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Observation b1e3b60d-7a16-4577-952b-36c8dc7e5aeb · outbound

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

High-Dimensional Unfolding in Large Backgrounds Scaffolding Simulations with Deep Learning for High-dimensional Deconvolution

Reference 27

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Observation 46994a45-4b01-400e-8f69-ecb3cc7b19b0 · outbound

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

High-Dimensional Unfolding in Large Backgrounds Invertible Networks or Partons to Detector and Back Again

Reference 28

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Observation 9abbaec6-2d42-4adb-82f6-8b70f56d6211 · outbound

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

High-Dimensional Unfolding in Large Backgrounds An unfolding method based on conditional Invertible Neural Networks (cINN) using iterative training

Reference 29

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Observation 4b55fca9-52a7-4e02-b50d-d9ea6c59ecbd · outbound

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

High-Dimensional Unfolding in Large Backgrounds Event-by-event Comparison between Machine-Learning- and Transfer-Matrix-based Unfolding Methods

Reference 30

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Observation d4125a0e-4919-4875-affd-fa4570812d2d · outbound

This paper cites Diefenbacher, G.-H.

High-Dimensional Unfolding in Large Backgrounds Diefenbacher, G.-H

Reference 31

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Observation f1ad5f04-010b-4429-b1ed-3717a5327445 · outbound

This paper cites Exploring QCD matter in extreme conditions with Machine Learning.

High-Dimensional Unfolding in Large Backgrounds Exploring QCD matter in extreme conditions with Machine Learning

Reference 32

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Observation 9cfa21ef-4e1d-4d30-be15-5f43850952dc · outbound

This paper cites QCD Masterclass Lectures on Jet Physics and Machine Learning.

High-Dimensional Unfolding in Large Backgrounds QCD Masterclass Lectures on Jet Physics and Machine Learning

Reference 33

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Observation dadbcf19-3ecb-4ba6-8fec-f769c7308f62 · outbound

This paper cites Hep ml living review.

High-Dimensional Unfolding in Large Backgrounds Hep ml living review

Reference 34

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Observation 7024a887-b220-42aa-ac68-0bf4f8383709 · outbound

This paper cites an unresolved cited work.

High-Dimensional Unfolding in Large Backgrounds Unresolved cited work

Reference 43

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Observation 3bd67166-53dc-42d6-9cd4-b1651ed60573 · outbound

This paper cites Improved iterative Bayesian unfolding.

High-Dimensional Unfolding in Large Backgrounds Improved iterative Bayesian unfolding

Reference 44

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Observation 6e9ff88c-5b07-422d-842b-74c8535cbee8 · outbound

This paper cites Particle-flow reconstruction and global event description with the CMS detector.

High-Dimensional Unfolding in Large Backgrounds Particle-flow reconstruction and global event description with the CMS detector

Reference 45

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no resolver link, observed 2026-08-06T19:14:52.092991Z

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Observation 3e6872d1-8032-4e4c-b888-1d6a54d0d2ec · outbound

This paper cites The Metric Space of Collider Events.

High-Dimensional Unfolding in Large Backgrounds The Metric Space of Collider Events

Reference 48

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Observation 785f57b1-eeed-4ac8-92bb-cfa25199310d · outbound

This paper cites The Hidden Geometry of Particle Collisions.

High-Dimensional Unfolding in Large Backgrounds The Hidden Geometry of Particle Collisions

Reference 49

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Observation af836513-1e6f-4bdb-8de2-a921bfc60f35 · outbound

This paper cites A Spectral Metric for Collider Geometry.

High-Dimensional Unfolding in Large Backgrounds A Spectral Metric for Collider Geometry

Reference 50

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Observation 08a15464-9dae-4868-ae46-7da66dc0020e · outbound

This paper cites A Theory of Quark vs. Gluon Discrimination.

High-Dimensional Unfolding in Large Backgrounds A Theory of Quark vs. Gluon Discrimination

Reference 51

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Observation 325df72b-6493-4aa4-b73c-31779ae8900e · outbound

This paper cites The Lund Jet Plane.

High-Dimensional Unfolding in Large Backgrounds The Lund Jet Plane

Reference 52

Resolution
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Observation e7cabd5a-b4a4-4b10-879c-a53618371e25 · outbound

This paper cites Quarks and gluons in the Lund plane.

High-Dimensional Unfolding in Large Backgrounds Quarks and gluons in the Lund plane

Reference 53

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Observation 451d1f5c-1e44-4680-9753-42fc05bb6ff6 · outbound

This paper cites Sorting out quenched jets.

High-Dimensional Unfolding in Large Backgrounds Sorting out quenched jets

Reference 54

Resolution
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source=pdf_text observed=2026-08-06T19:14:52.630412Z digest=sha256:8e7495037ccfe6be9762e376ac5912875c013b620f73c1d12504b9cdb4c2f1f6

Observation 5d0b7a15-2de5-4785-ba05-887220c9260a · outbound

This paper cites Quenching effects in the cumulative jet spectrum.

High-Dimensional Unfolding in Large Backgrounds Quenching effects in the cumulative jet spectrum

Reference 55

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source=pdf_text observed=2026-08-06T19:14:52.717586Z digest=sha256:0e6a60f869ac003a4c01b27ab80da2342597369879e9cc2e0ce926a2d78db6bb

Observation 9b16df61-4e32-414b-a3c5-7fe017c3cfc3 · outbound

This paper cites Deep learning jet modifications in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Deep learning jet modifications in heavy-ion collisions

Reference 56

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Observation c5ccc36d-826b-43bd-bda1-a36e9fcac6e5 · outbound

This paper cites Jet tomography in heavy ion collisions with deep learning.

High-Dimensional Unfolding in Large Backgrounds Jet tomography in heavy ion collisions with deep learning

Reference 57

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Observation 436f7127-fe36-4ac4-b7bb-5de309f4a1d5 · outbound

This paper cites The information content of jet quenching and machine learning assisted observable design.

High-Dimensional Unfolding in Large Backgrounds The information content of jet quenching and machine learning assisted observable design

Reference 58

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Observation 72e61b55-f4a3-4882-98cc-7f99a2c60471 · outbound

This paper cites Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis.

High-Dimensional Unfolding in Large Backgrounds Jet substructure observables for jet quenching in Quark Gluon Plasma: a Machine Learning driven analysis

Reference 59

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Observation d384e06a-8ce0-4e44-aef5-b60075949363 · outbound

This paper cites E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once.

High-Dimensional Unfolding in Large Backgrounds E Pluribus Unum Ex Machina: Learning from Many Collider Events at Once

Reference 60

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Observation fa03cbcf-279d-4f6f-8660-a0fd96a189fe · outbound

This paper cites Learning Likelihood Ratios with Neural Network Classifiers.

High-Dimensional Unfolding in Large Backgrounds Learning Likelihood Ratios with Neural Network Classifiers

Reference 61

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Observation 33b47cd5-1459-477a-933c-b5b693b995de · outbound

This paper cites A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties.

High-Dimensional Unfolding in Large Backgrounds A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties

Reference 62

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Observation 6adf623d-3b26-488b-93cf-fc6d69ccf44a · outbound

This paper cites Tune: A Research Platform for Distributed Model Selection and Training.

High-Dimensional Unfolding in Large Backgrounds Tune: A Research Platform for Distributed Model Selection and Training

Reference 63

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Observation 8e8de3b2-b149-4e3d-ac05-9aa8112da278 · outbound

This paper cites Modern Machine Learning for LHC Physicists.

High-Dimensional Unfolding in Large Backgrounds Modern Machine Learning for LHC Physicists

Reference 64

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Observation 05200bd8-c5b0-45df-8f69-748fd5453cc8 · outbound

This paper cites Tuning PYTHIA 8.1: the Monash 2013 Tune.

High-Dimensional Unfolding in Large Backgrounds Tuning PYTHIA 8.1: the Monash 2013 Tune

Reference 65

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Observation 3bf8930f-4581-4650-8d48-c6974027443b · outbound

This paper cites An Introduction to PYTHIA 8.2.

High-Dimensional Unfolding in Large Backgrounds An Introduction to PYTHIA 8.2

Reference 66

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Observation 5d8d42b3-4c51-4828-a347-ed84e73595a6 · outbound

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

High-Dimensional Unfolding in Large Backgrounds Herwig 7.0 / Herwig++ 3.0 Release Note

Reference 67

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Observation 3e4a7ed4-fff0-4aed-bf85-e7cad4e4560c · outbound

This paper cites Herwig 7.3 Release Note.

High-Dimensional Unfolding in Large Backgrounds Herwig 7.3 Release Note

Reference 68

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Observation 8310034c-85bb-43cf-bbef-40810afe3b6d · outbound

This paper cites JetToyHI GitHub repository.

High-Dimensional Unfolding in Large Backgrounds JetToyHI GitHub repository

Reference 69

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Observation 5045080e-dde6-4053-aa78-30e0e851bdaf · outbound

This paper cites Novel tools and observables for jet physics in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Novel tools and observables for jet physics in heavy-ion collisions

Reference 70

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Observation 0e781574-d03e-4cd1-b6ff-540e8af90565 · outbound

This paper cites Model studies of fluctuations in the background for jets in heavy ion collisions.

High-Dimensional Unfolding in Large Backgrounds Model studies of fluctuations in the background for jets in heavy ion collisions

Reference 71

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verified exact
local_arxiv, observed 2026-08-06T19:14:59.005436Z

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Observation a3275c46-d6c4-4c01-b842-11a7fe1260f8 · outbound

This paper cites The anti-k_t jet clustering algorithm.

High-Dimensional Unfolding in Large Backgrounds The anti-k_t jet clustering algorithm

Reference 73

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Observation 82f14889-4af7-4901-8aca-94d66e15ee86 · outbound

This paper cites FastJet user manual.

High-Dimensional Unfolding in Large Backgrounds FastJet user manual

Reference 74

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Observation 7eba13e0-6cdb-4478-ad3a-16c9d3dbc762 · outbound

This paper cites OmniFold GitHub repository.

High-Dimensional Unfolding in Large Backgrounds OmniFold GitHub repository

Reference 75

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Observation 9df84bbc-ab11-40b9-bb6c-8822b08d1a1b · outbound

This paper cites Dynamical grooming of QCD jets.

High-Dimensional Unfolding in Large Backgrounds Dynamical grooming of QCD jets

Reference 76

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Observation 9b2ded95-5bb9-4797-9b2b-e72324716f3f · outbound

This paper cites Dynamical grooming meets LHC data.

High-Dimensional Unfolding in Large Backgrounds Dynamical grooming meets LHC data

Reference 77

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Observation 130747b1-3e43-4027-a31f-8bd38f0c17f2 · outbound

This paper cites Soft Drop.

High-Dimensional Unfolding in Large Backgrounds Soft Drop

Reference 78

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Observation 8c7780e4-b15c-413e-926b-b3267bac6bfd · outbound

This paper cites Recursive Soft Drop.

High-Dimensional Unfolding in Large Backgrounds Recursive Soft Drop

Reference 79

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Observation 25e634fc-646c-4725-b6f8-cdeed96d2804 · outbound

This paper cites Identifying Boosted Objects with N-subjettiness.

High-Dimensional Unfolding in Large Backgrounds Identifying Boosted Objects with N-subjettiness

Reference 80

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Observation d17b69ff-109d-4873-babb-c2335df36257 · outbound

This paper cites Dynamically groomed jet radius in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Dynamically groomed jet radius in heavy-ion collisions

Reference 81

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Observation cb40446d-ad29-4bfc-9b0f-09f2c55756da · outbound

This paper cites Jet radius and momentum splitting fraction with dynamical grooming in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Jet radius and momentum splitting fraction with dynamical grooming in heavy-ion collisions

Reference 82

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Observation f1d99e73-d6e0-4f24-b233-739c0f8c9776 · outbound

This paper cites Isolating perturbative QCD splittings in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Isolating perturbative QCD splittings in heavy-ion collisions

Reference 83

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Observation 181825d9-8ec6-4a4c-9132-742784c06956 · outbound

This paper cites Study of jet quenching with isolated-photon+jet correlations in PbPb and pp collisions at $\sqrt{s_{_{\mathrm{NN}}}} =$ 5.02 TeV.

High-Dimensional Unfolding in Large Backgrounds Study of jet quenching with isolated-photon+jet correlations in PbPb and pp collisions at $\sqrt{s_{_{\mathrm{NN}}}} =$ 5.02 TeV

Reference 89

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Observation cfe6f829-29d9-41bc-9808-836362f142e3 · outbound

This paper cites Machine Learning based jet momentum reconstruction in heavy-ion collisions.

High-Dimensional Unfolding in Large Backgrounds Machine Learning based jet momentum reconstruction in heavy-ion collisions

Reference 97

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Observation 4de62ae4-02a2-4dfd-b1f3-58ef8809d20b · outbound

This paper cites Energy Flow Networks: Deep Sets for Particle Jets.

High-Dimensional Unfolding in Large Backgrounds Energy Flow Networks: Deep Sets for Particle Jets

Reference 98

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Observation 4c7c2603-13b1-40e2-82c5-8c245aef9b34 · outbound

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

High-Dimensional Unfolding in Large Backgrounds Disentangling Quarks and Gluons with CMS Open Data

Reference 99

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Observation 03d5c693-f526-4035-83ee-548e073c4ced · outbound

This paper cites SHAPER: Can You Hear the Shape of a Jet?.

High-Dimensional Unfolding in Large Backgrounds SHAPER: Can You Hear the Shape of a Jet?

Reference 100

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verified exact
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation afc66227-dfd6-4b29-a356-2770bcadd007 · outbound

This paper cites Is infrared-collinear safe information all you need for jet classification?.

High-Dimensional Unfolding in Large Backgrounds Is infrared-collinear safe information all you need for jet classification?

Reference 101

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Observation aecd7a1e-14d9-4c8c-9cbf-699edc115a76 · outbound

This paper cites Pile-Up Mitigation using Attention.

High-Dimensional Unfolding in Large Backgrounds Pile-Up Mitigation using Attention

Reference 102

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Observation 76645bf9-efc7-4415-901b-f8a64f8406ae · outbound

This paper cites PIPPIN: Generating variable length full events from partons.

High-Dimensional Unfolding in Large Backgrounds PIPPIN: Generating variable length full events from partons

Reference 103

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Observation 0df98f9a-0d5e-4158-98a8-fd9cfdc4172d · outbound

This paper cites Variational inference for pile-up removal at hadron colliders with diffusion models.

High-Dimensional Unfolding in Large Backgrounds Variational inference for pile-up removal at hadron colliders with diffusion models

Reference 104

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verified exact
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T19:14:55.780133Z digest=sha256:e610fff3f5fdeb567fec213621d21c405036fee79c311a20ba5f05ecbd7f9c00

Observation 2b3829a2-6bd2-4330-a876-b0894a5e80f9 · outbound

This paper cites Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments.

High-Dimensional Unfolding in Large Backgrounds Effectiveness of denoising diffusion probabilistic models for fast and high-fidelity whole-event simulation in high-energy heavy-ion experiments

Reference 105

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verified exact
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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation c91cdf61-ea14-43db-91e3-ac1c2a040d04 · outbound

This paper cites Separating signal from combinatorial jets in a high background environment.

High-Dimensional Unfolding in Large Backgrounds Separating signal from combinatorial jets in a high background environment

Reference 106

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:14:57.453489Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

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Observation 77e2ecb5-c423-417a-8e9b-a0aef7b57baa · outbound

This paper cites Multiplicity Based Background Subtraction for Jets in Heavy Ion Collisions.

High-Dimensional Unfolding in Large Backgrounds Multiplicity Based Background Subtraction for Jets in Heavy Ion Collisions

Reference 107

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source=pdf_text observed=2026-08-06T19:14:56.098071Z digest=sha256:3fc4a6a4c9786d5154f9876c93298ba650976141d7d5a23e5e7a3be748897c45

Observation 7649fcab-27eb-4402-bdc7-039dfb6e0a23 · outbound

This paper cites Neural network biased corrections: Cautionary study in background corrections for quenched jets.

High-Dimensional Unfolding in Large Backgrounds Neural network biased corrections: Cautionary study in background corrections for quenched jets

Reference 108

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verified exact
local_arxiv, observed 2026-08-06T19:14:57.235141Z

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No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T19:14:56.172129Z digest=sha256:3fd27c05ff53d88a703f29cee04a3da4692c75da77672e0801b0fab7253a0413

Observation a07f6f9b-0be8-4a62-a8c5-9d9d1975094c · outbound

This paper cites Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting.

High-Dimensional Unfolding in Large Backgrounds Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting

Reference 109

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.249266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.249266Z digest=sha256:fd2077d7a62da94024c5eaf46cb80aba9a270262a701aa02bda6296104512659

Observation 12248c8a-5834-4690-88b3-b6bf5a2909dc · outbound

This paper cites The frontier of simulation-based inference.

High-Dimensional Unfolding in Large Backgrounds The frontier of simulation-based inference

Reference 110

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.380183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.380183Z digest=sha256:20b7caf2f1e79c24cd9218d35ff699094b60fdfa343bfc5341e05f292adbaa09

Observation ff61c40b-21e3-4908-8575-17f2ec3b3f6c · outbound

This paper cites Unfolding algorithms and tests using RooUnfold.

High-Dimensional Unfolding in Large Backgrounds Unfolding algorithms and tests using RooUnfold

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.467468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.467468Z digest=sha256:037cc8cf14491ec1f18bfa5e5e85bcedeb3a311f02899634625174a585f68ea9

Observation 96b858e6-9d53-44f6-8d23-b6c65f3f06ff · outbound

This paper cites Comparison of unfolding methods using RooFitUnfold.

High-Dimensional Unfolding in Large Backgrounds Comparison of unfolding methods using RooFitUnfold

Reference 112

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.584828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.584828Z digest=sha256:4ee96bbcb3b47c6a5499796229b31429f39c496a3e70686b5359dec2514a19eb

Observation 17a009b8-2669-430f-979e-85122994fb30 · outbound

This paper cites The Landscape of Unfolding with Machine Learning.

High-Dimensional Unfolding in Large Backgrounds The Landscape of Unfolding with Machine Learning

Reference 113

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.718640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.718640Z digest=sha256:0fcd520dc71bf26c3f93999eea5f7877038a5727e6aebd769f2ad0db8966cd20

Observation b9647e51-44e2-45f2-bcb0-e4204bbb988a · outbound

This paper cites Tools for Unbinned Unfolding.

High-Dimensional Unfolding in Large Backgrounds Tools for Unbinned Unfolding

Reference 114

Resolution
unresolved
no resolver link, observed 2026-08-06T19:14:56.844499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:14:56.844499Z digest=sha256:b71c1c3e5d6861de29a90fa21c2b6e253243700bfc43a13de7083ad890ea814a

Pith citing papers

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

Toward an event-level analysis of hadron structure using differential programming cites this paper.

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-06T15:29:53.413939Z digest=sha256:63c8cdbdb80c1f8db1d781802e6020d41ea4b726302a4c63d7ca6a1d6db5ad47