Paper Citation Record · LEDGER

Efficient many-jet event generation with Flow Matching

As of 22 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 10 inbound Pith citation observations for arXiv:2506.18987.

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

pith.paper-citation-record.v1
2506.18987 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:48:36.980024Z

measured 81 of 81 standing notices

One-hop event checks from named stored sources.

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measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:41:36.942683Z

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

Source: arxiv_reference, observed 2026-07-04T08:09:41.418996Z

Reference resolution

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External citation measurements

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Outbound references

Observation df8b185a-d6d7-4efa-82f8-f52822ed678a · outbound

This paper cites an unresolved cited work.

Efficient many-jet event generation with Flow Matching Unresolved cited work

Reference 1

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Observation 96dff7bc-ec40-4551-86ae-541d351790f4 · outbound

This paper cites The Future of US Particle Physics -- The Snowmass 2021 Energy Frontier Report.

Efficient many-jet event generation with Flow Matching The Future of US Particle Physics -- The Snowmass 2021 Energy Frontier Report

Reference 2

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Observation 7b32d753-a389-48a6-b76c-82d92b57fe5c · outbound

This paper cites A Roadmap for HEP Software and Computing R&D for the 2020s.

Efficient many-jet event generation with Flow Matching A Roadmap for HEP Software and Computing R&D for the 2020s

Reference 3

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Observation 6b2dbc71-e49d-41f1-9be0-6870316474d1 · outbound

This paper cites Challenges in Monte Carlo event generator software for High-Luminosity LHC.

Efficient many-jet event generation with Flow Matching Challenges in Monte Carlo event generator software for High-Luminosity LHC

Reference 4

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Observation 21f2d42d-1fe8-4993-a740-49ba44a48d1f · outbound

This paper cites HL-LHC Computing Review Stage-2, Common Software Projects: Event Generators.

Efficient many-jet event generation with Flow Matching HL-LHC Computing Review Stage-2, Common Software Projects: Event Generators

Reference 5

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Observation 668a926d-21b6-417f-9fe6-1afc96eef502 · outbound

This paper cites Modelling and computational improvements to the simulation of single vector-boson plus jet processes for the ATLAS experiment.

Efficient many-jet event generation with Flow Matching Modelling and computational improvements to the simulation of single vector-boson plus jet processes for the ATLAS experiment

Reference 6

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Observation 3e66760c-90ce-4b54-aadd-f5d1d2945629 · outbound

This paper cites Accelerating LHC event generation with simplified pilot runs and fast PDFs.

Efficient many-jet event generation with Flow Matching Accelerating LHC event generation with simplified pilot runs and fast PDFs

Reference 7

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Observation c851e8cc-da29-4006-a37e-c6ef876766e5 · outbound

This paper cites Weight optimization in multichannel Monte Carlo.

Efficient many-jet event generation with Flow Matching Weight optimization in multichannel Monte Carlo

Reference 8

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Observation 98dc0c95-16a5-444e-9197-ad712954badb · outbound

This paper cites Lepage,A New Algorithm for Adaptive Multidimensional Integration, J.

Efficient many-jet event generation with Flow Matching Lepage,A New Algorithm for Adaptive Multidimensional Integration, J

Reference 9

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Observation 02e64e36-1f0d-434f-ae97-cbdda578032d · outbound

This paper cites Vegas Revisited: Adaptive Monte Carlo Integration Beyond Factorization.

Efficient many-jet event generation with Flow Matching Vegas Revisited: Adaptive Monte Carlo Integration Beyond Factorization

Reference 10

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Observation 7060d497-ab94-4223-9e5a-de0bd2f2a150 · outbound

This paper cites Adaptive Multidimensional Integration: VEGAS Enhanced.

Efficient many-jet event generation with Flow Matching Adaptive Multidimensional Integration: VEGAS Enhanced

Reference 11

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Observation 118e2ec7-99e4-4005-838c-cd95babd5bac · outbound

This paper cites Foam: A General-Purpose Cellular Monte Carlo Event Generator.

Efficient many-jet event generation with Flow Matching Foam: A General-Purpose Cellular Monte Carlo Event Generator

Reference 12

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Observation 3e33fe15-2cec-48c4-ae98-09492b600a3b · outbound

This paper cites Cuba - a library for multidimensional numerical integration.

Efficient many-jet event generation with Flow Matching Cuba - a library for multidimensional numerical integration

Reference 13

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Observation 8893033a-32d1-4737-a104-e998fc9e0070 · outbound

This paper cites PARNI for importance sampling and density estimation.

Efficient many-jet event generation with Flow Matching PARNI for importance sampling and density estimation

Reference 14

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Observation 9fd776e1-5f0e-4db3-b52e-cd2f29722339 · outbound

This paper cites Neural Network-Based Approach to Phase Space Integration.

Efficient many-jet event generation with Flow Matching Neural Network-Based Approach to Phase Space Integration

Reference 16

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Observation b3783fee-38f6-4aac-b9d2-48b710d627b8 · outbound

This paper cites Exploring phase space with Neural Importance Sampling.

Efficient many-jet event generation with Flow Matching Exploring phase space with Neural Importance Sampling

Reference 17

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Observation 17054f46-2e89-4cd2-88cd-29774c301334 · outbound

This paper cites Event Generation with Normalizing Flows.

Efficient many-jet event generation with Flow Matching Event Generation with Normalizing Flows

Reference 18

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Observation 8ef3bc8f-b05a-419d-82fa-83803a9ab45c · outbound

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

Efficient many-jet event generation with Flow Matching MadNIS -- Neural Multi-Channel Importance Sampling

Reference 19

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Source-reported events for the cited work

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Observation db112614-2fc5-4e68-aa9e-e466b6533fd8 · outbound

This paper cites Event Generation and Density Estimation with Surjective Normalizing Flows.

Efficient many-jet event generation with Flow Matching Event Generation and Density Estimation with Surjective Normalizing Flows

Reference 20

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Observation f8b4a7a5-042e-4d8a-ac4e-c5319740bc68 · outbound

This paper cites The MadNIS Reloaded.

Efficient many-jet event generation with Flow Matching The MadNIS Reloaded

Reference 21

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Observation e282ecda-a70b-4bfb-af70-ad8ed59bf6a8 · outbound

This paper cites Differentiable MadNIS-Lite.

Efficient many-jet event generation with Flow Matching Differentiable MadNIS-Lite

Reference 22

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Observation 7afe3c8c-2c5f-4704-b231-6b2701902c8c · outbound

This paper cites Machine Learning and LHC Event Generation.

Efficient many-jet event generation with Flow Matching Machine Learning and LHC Event Generation

Reference 23

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Observation 027cf1b6-a7de-46ac-94ea-277f7b2cb4fb · outbound

This paper cites Neural Ordinary Differential Equations.

Efficient many-jet event generation with Flow Matching Neural Ordinary Differential Equations

Reference 24

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Observation 3a4fbb62-a8ba-4eae-88b5-2f5038b3f237 · outbound

This paper cites Flow Matching for Generative Modeling.

Efficient many-jet event generation with Flow Matching Flow Matching for Generative Modeling

Reference 25

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Observation 697f2f27-3f7a-4c24-a676-fe2edacad6fc · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

Efficient many-jet event generation with Flow Matching Building Normalizing Flows with Stochastic Interpolants

Reference 26

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Observation 16d9ee00-8328-48ba-bff0-4340bcdb7e94 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Efficient many-jet event generation with Flow Matching Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 27

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Observation 7d6a6140-0a6d-49ef-b1b5-f1e0fa517f77 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

Efficient many-jet event generation with Flow Matching Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 28

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Observation d92d93d2-c22c-4b25-963d-08042312937a · outbound

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

Efficient many-jet event generation with Flow Matching Jet Diffusion versus JetGPT -- Modern Networks for the LHC

Reference 29

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Observation c83d7a61-02ee-40fe-a98d-d9407219460e · outbound

This paper cites How to Unfold Top Decays.

Efficient many-jet event generation with Flow Matching How to Unfold Top Decays

Reference 30

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Observation f6e12c37-dca2-4416-b214-eab84601b345 · outbound

This paper cites A Portable Parton-Level Event Generator for the High-Luminosity LHC.

Efficient many-jet event generation with Flow Matching A Portable Parton-Level Event Generator for the High-Luminosity LHC

Reference 31

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This paper cites Efficient phase-space generation for hadron collider event simulation.

Efficient many-jet event generation with Flow Matching Efficient phase-space generation for hadron collider event simulation

Reference 32

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This paper cites NICE: Non-linear Independent Components Estimation.

Efficient many-jet event generation with Flow Matching NICE: Non-linear Independent Components Estimation

Reference 33

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Efficient many-jet event generation with Flow Matching Neural Importance Sampling

Reference 34

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This paper cites Neural Spline Flows.

Efficient many-jet event generation with Flow Matching Neural Spline Flows

Reference 35

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This paper cites von Neumann,John von Neumann Collected Works, vol.

Efficient many-jet event generation with Flow Matching von Neumann,John von Neumann Collected Works, vol

Reference 36

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This paper cites Kish,Survey Sampling, Wiley (1965).

Efficient many-jet event generation with Flow Matching Kish,Survey Sampling, Wiley (1965)

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:48:38.587060Z

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Efficient many-jet event generation with Flow Matching Tabak and E

Reference 38

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Efficient many-jet event generation with Flow Matching Tabak and C.V

Reference 39

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Observation acbbbdf2-8ca5-4e55-aced-c214ad5ea429 · outbound

This paper cites Phase Space Sampling and Inference from Weighted Events with Autoregressive Flows.

Efficient many-jet event generation with Flow Matching Phase Space Sampling and Inference from Weighted Events with Autoregressive Flows

Reference 40

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This paper cites Accelerating HEP simulations with Neural Importance Sampling.

Efficient many-jet event generation with Flow Matching Accelerating HEP simulations with Neural Importance Sampling

Reference 41

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This paper cites How to train your neural ODE: the world of Jacobian and kinetic regularization.

Efficient many-jet event generation with Flow Matching How to train your neural ODE: the world of Jacobian and kinetic regularization

Reference 42

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Efficient many-jet event generation with Flow Matching OT-Flow: Fast and Accurate Continuous Normalizing Flows via Optimal Transport

Reference 43

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Efficient many-jet event generation with Flow Matching Improving and generalizing flow-based generative models with minibatch optimal transport

Reference 44

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This paper cites Multisample Flow Matching: Straightening Flows with Minibatch Couplings.

Efficient many-jet event generation with Flow Matching Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Reference 45

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Efficient many-jet event generation with Flow Matching Phase space sampling with Markov Chain Monte Carlo methods

Reference 46

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Efficient many-jet event generation with Flow Matching Janßen, R

Reference 47

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Efficient many-jet event generation with Flow Matching Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators

Reference 48

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Efficient many-jet event generation with Flow Matching Bothmann, J

Reference 49

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Efficient many-jet event generation with Flow Matching Comix, a new matrix element generator

Reference 50

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Efficient many-jet event generation with Flow Matching Event generation with SHERPA 1.1

Reference 51

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Efficient many-jet event generation with Flow Matching Event Generation with Sherpa 2.2

Reference 52

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Efficient many-jet event generation with Flow Matching Event generation with Sherpa 3

Reference 53

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Efficient many-jet event generation with Flow Matching Dyck Words and Multi-Quark Primitive Amplitudes

Reference 54

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Efficient many-jet event generation with Flow Matching Melia,Dyck words and multi-quark amplitudes, PoS RADCOR2013 (2013) 031

Reference 55

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Observation 391f57ca-e89c-44e1-92a2-1e0505ab32e8 · outbound

This paper cites Color-Kinematics Duality for QCD Amplitudes.

Efficient many-jet event generation with Flow Matching Color-Kinematics Duality for QCD Amplitudes

Reference 56

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Efficient many-jet event generation with Flow Matching Unresolved cited work

Reference 57

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Efficient many-jet event generation with Flow Matching Unresolved cited work

Reference 58

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Observation db0b3a22-99ca-4c08-8f0b-820babbc5020 · outbound

This paper cites Simulation of vector boson plus many jet final states at the high luminosity LHC.

Efficient many-jet event generation with Flow Matching Simulation of vector boson plus many jet final states at the high luminosity LHC

Reference 59

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This paper cites Efficient precision simulation of processes with many-jet final states at the LHC.

Efficient many-jet event generation with Flow Matching Efficient precision simulation of processes with many-jet final states at the LHC

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.564916Z

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Observation a8114a7e-56b1-4919-8cc6-f9e74f3dba77 · outbound

This paper cites Parton distributions for the LHC Run II.

Efficient many-jet event generation with Flow Matching Parton distributions for the LHC Run II

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.647595Z

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Observation 1ca4da9e-bbe5-4529-bf95-737149271de4 · outbound

This paper cites LHAPDF6: parton density access in the LHC precision era.

Efficient many-jet event generation with Flow Matching LHAPDF6: parton density access in the LHC precision era

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.726575Z

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Observation faccf4ea-feaa-413c-be83-ed4b35cf72cc · outbound

This paper cites Next-to-Leading Order W + 5-Jet Production at the LHC.

Efficient many-jet event generation with Flow Matching Next-to-Leading Order W + 5-Jet Production at the LHC

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.731067Z

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Observation 0af83af0-0ca3-4a16-b072-4db54021375b · outbound

This paper cites Iterated Denoising Energy Matching for Sampling from Boltzmann Densities.

Efficient many-jet event generation with Flow Matching Iterated Denoising Energy Matching for Sampling from Boltzmann Densities

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.735530Z

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Observation e1a071fc-328f-4e5d-ada2-8f1ba1be2940 · outbound

This paper cites i-flow: High-dimensional Integration and Sampling with Normalizing Flows.

Efficient many-jet event generation with Flow Matching i-flow: High-dimensional Integration and Sampling with Normalizing Flows

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.740722Z

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Observation 797b7946-8f81-4f2e-9cab-3d2e88d67985 · outbound

This paper cites Durkan, A.

Efficient many-jet event generation with Flow Matching Durkan, A

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.745279Z

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Observation 1efd8081-db57-4b72-8100-db7e45ff0b60 · outbound

This paper cites Decoupled Weight Decay Regularization.

Efficient many-jet event generation with Flow Matching Decoupled Weight Decay Regularization

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.749325Z

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Observation 8e63fa21-c0dc-4e47-8538-419fe9192972 · outbound

This paper cites Flow Matching for Scalable Simulation-Based Inference.

Efficient many-jet event generation with Flow Matching Flow Matching for Scalable Simulation-Based Inference

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.754321Z

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Observation afa383e4-1c9d-4e65-9575-1c74f0135f40 · outbound

This paper cites Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains.

Efficient many-jet event generation with Flow Matching Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.776891Z

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Observation ce0209c2-5f35-462d-b4ff-4671ab4cba51 · outbound

This paper cites Dormand and P.

Efficient many-jet event generation with Flow Matching Dormand and P

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T18:48:38.271475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation eaa74f66-3b72-4343-825b-b7b6798f0246 · outbound

This paper cites an unresolved cited work.

Efficient many-jet event generation with Flow Matching Unresolved cited work

Reference 71

Resolution: unresolved; raw_fallback, observed 2026-08-15T18:48:38.159312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 658afa53-8f01-47f3-818f-261a6dcf9611 · outbound

This paper cites Rehman, O.

Efficient many-jet event generation with Flow Matching Rehman, O

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-15T18:48:36.980024Z

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Pith citing papers

Observation f641d3bf-51ba-4200-ba8b-7caa4b3ab747 · inbound

Data-parallel leading-order event generation in MadGraph5_aMC@NLO cites this paper.

Data-parallel leading-order event generation in MadGraph5_aMC@NLO Efficient many-jet event generation with Flow Matching

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T13:08:14.848591Z

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Observation 7a484186-3fb1-4989-89e1-90cbb2af195a · inbound

Amplitude Uncertainties Everywhere All at Once cites this paper.

Amplitude Uncertainties Everywhere All at Once Efficient many-jet event generation with Flow Matching

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:47.027187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation cd21bc67-3ec8-4ccd-8480-d3d6c1940eaa · inbound

Analysis-ready Generative Unfolding cites this paper.

Analysis-ready Generative Unfolding Efficient many-jet event generation with Flow Matching

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T16:41:36.942683Z

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Observation 725e650a-80ee-4650-b63c-09ea4b74d158 · inbound

Data-Driven Predictions for Dark Photon and Millicharged Particle Production cites this paper.

Data-Driven Predictions for Dark Photon and Millicharged Particle Production Efficient many-jet event generation with Flow Matching

Reference 73

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:05:27.055969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0696cfe2-bd7b-4d06-99e0-582b03a73e50 · inbound

Open LHC Monte Carlo Event Generation cites this paper.

Open LHC Monte Carlo Event Generation Efficient many-jet event generation with Flow Matching

Reference 184

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:12:18.364093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 395862b8-8d2d-4c19-9261-a0fd2b79701b · inbound

The Monte Carlo Ecosystem in High-Energy Physics: A Primer cites this paper.

The Monte Carlo Ecosystem in High-Energy Physics: A Primer Efficient many-jet event generation with Flow Matching

Reference 195

Resolution: verified exact; arxiv_id, observed 2026-05-20T16:38:40.034528Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ff8f1812-e4fa-4ab7-ab37-13ed41984254 · inbound

Monte Carlo Event Generators for Future Lepton Colliders cites this paper.

Monte Carlo Event Generators for Future Lepton Colliders Efficient many-jet event generation with Flow Matching

Reference 99

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:09:41.420274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b196cb1-e41e-4db7-ab5f-93d8a608d5f2 · inbound

An Optimal Transportation Approach for Improved Confidence Intervals cites this paper.

An Optimal Transportation Approach for Improved Confidence Intervals Efficient many-jet event generation with Flow Matching

Reference 99

Resolution: unresolved; no resolver link, observed 2026-07-12T13:00:43.137180Z

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Observation 9fca6361-2057-4208-b2d9-d207ad941e67 · inbound

One Generator, Any Process: LLM-Conditioning for the LHC cites this paper.

One Generator, Any Process: LLM-Conditioning for the LHC Efficient many-jet event generation with Flow Matching

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T10:14:36.104765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e6c35cae-f9ad-45b9-87a4-64afe242ece5 · inbound

Generative Amplification with Surrogate Monte Carlo cites this paper.

Generative Amplification with Surrogate Monte Carlo Efficient many-jet event generation with Flow Matching

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T14:39:56.429405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.