Paper Citation Record · LEDGER

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields

As of 9 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 2 inbound Pith citation observations for arXiv:2502.07060.

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

pith.paper-citation-record.v1
2502.07060 v2

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:00:03.201357Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:08:12.882825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T19:33:54.082986Z

Reference resolution

65 of 65 outbound references displayed

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External citation measurements

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Outbound references

Observation 392b3c65-d786-41ba-aa0c-426d9ad983f6 · outbound

This paper cites Les Houches 2021: Physics at TeV Colliders: Report on the Standard Model Precision Wishlist.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Les Houches 2021: Physics at TeV Colliders: Report on the Standard Model Precision Wishlist

Reference 1

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Observation fed68a9a-e361-46c3-ad47-a7664703baa4 · outbound

This paper cites Computational challenges for MC event generation.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Computational challenges for MC event generation

Reference 2

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Observation 353a83c1-f365-4541-8db5-71c26d003b48 · outbound

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

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Challenges in Monte Carlo event generator software for High-Luminosity LHC

Reference 3

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Observation ba4d6838-9ede-4c1d-aa79-dfcc344568d1 · outbound

This paper cites HEP computing collaborations for the challenges of the next decade.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields HEP computing collaborations for the challenges of the next decade

Reference 4

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Observation f44fed02-d17a-483d-b4d9-554a34430d35 · outbound

This paper cites Computational challenges for multi-loop collider phenomenology.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Computational challenges for multi-loop collider phenomenology

Reference 5

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Observation ab8e54e1-f5df-4c67-9aa5-9971f1c0f153 · outbound

This paper cites A GPU compatible quasi-Monte Carlo integrator interfaced to pySecDec.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields A GPU compatible quasi-Monte Carlo integrator interfaced to pySecDec

Reference 6

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Observation be4cc193-0040-4a33-8bc4-d16471528e0f · outbound

This paper cites VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields VegasFlow: accelerating Monte Carlo simulation across multiple hardware platforms

Reference 7

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Observation 3c545961-aadd-4438-8eeb-858267e474e9 · outbound

This paper cites Gómez, H.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Gómez, H

Reference 8

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Observation d5b1f8da-ddba-448c-8f92-e1b7466afbff · outbound

This paper cites An open-source machine learning framework for global analyses of parton distributions.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields An open-source machine learning framework for global analyses of parton distributions

Reference 9

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Observation 0e24f53e-0a33-44a5-be80-2731d9721742 · outbound

This paper cites Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Hyperparameter Optimisation in Deep Learning from Ensemble Methods: Applications to Proton Structure

Reference 10

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Observation 27fc8532-0bd8-40d9-b37b-30a7636cbfe4 · outbound

This paper cites PDFFlow: parton distribution functions on GPU.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields PDFFlow: parton distribution functions on GPU

Reference 11

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Observation 89b5e84f-d1e4-4a8e-8b8a-252e83ec76d4 · outbound

This paper cites An Algorithm to Parallelise Parton Showers on a GPU.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields An Algorithm to Parallelise Parton Showers on a GPU

Reference 12

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Observation df444ba5-174a-4f96-8907-498a7ca81bcd · outbound

This paper cites Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Many-gluon tree amplitudes on modern GPUs: A case study for novel event generators

Reference 13

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Observation 4df059c2-1512-4620-9ac1-a5f0d3bafd8a · outbound

This paper cites Numerical Scattering Amplitudes with pySecDec.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Numerical Scattering Amplitudes with pySecDec

Reference 14

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Observation 6c9c13b8-2994-49e2-b139-ea7654c52924 · outbound

This paper cites MadFlow: automating Monte Carlo simulation on GPU for particle physics processes.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields MadFlow: automating Monte Carlo simulation on GPU for particle physics processes

Reference 15

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Observation f50189b9-a869-4550-9acd-4c1cb80c2cc9 · outbound

This paper cites Extending MadFlow: device-specific optimization.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Extending MadFlow: device-specific optimization

Reference 16

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Observation be591129-f4d6-4a4c-aab4-3ff34ec36b9c · outbound

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

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields A Portable Parton-Level Event Generator for the High-Luminosity LHC

Reference 17

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Observation 43e4a9f3-3543-43a4-8047-81ef94172a58 · outbound

This paper cites Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Design and engineering of a simplified workflow execution for the MG5aMC event generator on GPUs and vector CPUs

Reference 18

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Observation a0b551c1-4e5d-4375-8e10-ba52e3908dae · outbound

This paper cites Developments in Performance and Portability for MadGraph5_aMC@NLO.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Developments in Performance and Portability for MadGraph5_aMC@NLO

Reference 19

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Observation 2a29d9b8-3060-4bd6-8221-3b1af6145769 · outbound

This paper cites Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release,.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release,

Reference 20

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Observation 884d275f-087c-49e3-8fd7-002bc0566594 · outbound

This paper cites Acceleration beyond lowest order event generation: An outlook on further parallelism within MadGraph5_aMC@NLO.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Acceleration beyond lowest order event generation: An outlook on further parallelism within MadGraph5_aMC@NLO

Reference 21

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Observation 32452bc4-802c-4b19-8201-9365952d39d3 · outbound

This paper cites Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Madgraph5_aMC@NLO on GPUs and vector CPUs Experience with the first alpha release

Reference 22

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Observation 2112c26a-e3b2-4241-bb38-b6e75a38f043 · outbound

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Unresolved cited work

Reference 23

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This paper cites Multi-gluon one-loop amplitudes using tensor integrals.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Multi-gluon one-loop amplitudes using tensor integrals

Reference 24

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Observation 55fba6c5-d9f4-49d2-978b-edaf9138a1b9 · outbound

This paper cites HELAC: a package to compute electroweak helicity amplitudes.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields HELAC: a package to compute electroweak helicity amplitudes

Reference 25

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This paper cites Scattering Amplitudes with Open Loops.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Scattering Amplitudes with Open Loops

Reference 26

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This paper cites RECOLA: REcursive Computation of One-Loop Amplitudes.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields RECOLA: REcursive Computation of One-Loop Amplitudes

Reference 27

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This paper cites Thread-Scalable Evaluation of Multi-Jet Observables.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Thread-Scalable Evaluation of Multi-Jet Observables

Reference 28

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Observation 0c212e03-8a57-44d3-aee8-c276678c103c · outbound

This paper cites Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU).

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Calculation of HELAS amplitudes for QCD processes using graphics processing unit (GPU)

Reference 29

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Observation 13c52c7e-17d1-47b1-8363-da2618a364c4 · outbound

This paper cites Fast calculation of HELAS amplitudes using graphics processing unit (GPU).

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Fast calculation of HELAS amplitudes using graphics processing unit (GPU)

Reference 30

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This paper cites Efficient Numerical Evaluation of Feynman Integral.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Efficient Numerical Evaluation of Feynman Integral

Reference 31

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Observation 4e63d04b-c951-4451-8b4a-9e72abee8a8f · outbound

This paper cites Caravel: A C++ Framework for the Computation of Multi-Loop Amplitudes with Numerical Unitarity.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Caravel: A C++ Framework for the Computation of Multi-Loop Amplitudes with Numerical Unitarity

Reference 32

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This paper cites A novel approach to integration by parts reduction.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields A novel approach to integration by parts reduction

Reference 33

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This paper cites Scattering amplitudes over finite fields and multivariate functional reconstruction.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Scattering amplitudes over finite fields and multivariate functional reconstruction

Reference 34

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This paper cites A numerical evaluation of planar two-loop helicity amplitudes for a W-boson plus four partons.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields A numerical evaluation of planar two-loop helicity amplitudes for a W-boson plus four partons

Reference 35

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This paper cites Numerical evaluation of two-loop QCD helicity amplitudes for $gg\to t \bar{t} g$ at leading colour.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Numerical evaluation of two-loop QCD helicity amplitudes for $gg\to t \bar{t} g$ at leading colour

Reference 36

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

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Simulation of vector boson plus many jet final states at the high luminosity LHC

Reference 37

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

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Accelerating LHC event generation with simplified pilot runs and fast PDFs

Reference 38

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields One-Loop n-Point Gauge Theory Amplitudes, Unitarity and Collinear Limits

Reference 39

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Fusing Gauge Theory Tree Amplitudes Into Loop Amplitudes

Reference 40

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This paper cites One-Loop Amplitudes for e^+ e^- to Four Partons.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields One-Loop Amplitudes for e^+ e^- to Four Partons

Reference 41

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Generalized Unitarity and One-Loop Amplitudes in N=4 Super-Yang-Mills

Reference 42

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields A Numerical Unitarity Formalism for Evaluating One-Loop Amplitudes

Reference 43

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Full one-loop amplitudes from tree amplitudes

Reference 44

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields An Automated Implementation of On-Shell Methods for One-Loop Amplitudes

Reference 45

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Subleading Poles in the Numerical Unitarity Method at Two Loops

Reference 46

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This paper cites Two-Loop Four-Gluon Amplitudes with the Numerical Unitarity Method.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Two-Loop Four-Gluon Amplitudes with the Numerical Unitarity Method

Reference 47

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This paper cites Towards a Basis for Planar Two-Loop Integrals.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Towards a Basis for Planar Two-Loop Integrals

Reference 48

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Hepta-Cuts of Two-Loop Scattering Amplitudes

Reference 49

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This paper cites A Two-Loop Five-Gluon Helicity Amplitude in QCD.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields A Two-Loop Five-Gluon Helicity Amplitude in QCD

Reference 50

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Two-loop Integrand Decomposition into Master Integrals and Surface Terms

Reference 51

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This paper cites A Complete Two-Loop, Five-Gluon Helicity Amplitude in Yang-Mills Theory.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields A Complete Two-Loop, Five-Gluon Helicity Amplitude in Yang-Mills Theory

Reference 52

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This paper cites To $d$, or not to $d$: Recent developments and comparisons of regularization schemes.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields To $d$, or not to $d$: Recent developments and comparisons of regularization schemes

Reference 53

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Observation c7b2f171-1044-4fb0-ab2c-906ade848733 · outbound

This paper cites Abadiet al., TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems,.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Abadiet al., TensorFlow: Large-Scale Machine Learning on Heterogeneous Systems,

Reference 54

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This paper cites mpmath development team,mpmath: a Python library for arbitrary-precision floating-point arithmetic (version 1.3.0), 2023.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields mpmath development team,mpmath: a Python library for arbitrary-precision floating-point arithmetic (version 1.3.0), 2023

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:00:04.101219Z

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This paper cites an unresolved cited work.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:00:04.086429Z

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Observation c7f4206d-1214-4617-90ed-87fc971d3224 · outbound

This paper cites Lips: p-adic and singular phase space.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Lips: p-adic and singular phase space

Reference 57

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Observation a305613b-79f4-4d9a-a3f2-01bff6919227 · outbound

This paper cites Decker, G.-M.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Decker, G.-M

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:00:04.072973Z

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Observation aa9599cb-4dbb-40ca-8445-461549d89857 · outbound

This paper cites Vingelmann, and F.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Vingelmann, and F

Reference 59

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Observation d99fe6a0-a260-4ccf-96bb-95ac49bc89c0 · outbound

This paper cites Pytorch: An imperative style, high-performance deep learning library,.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Pytorch: An imperative style, high-performance deep learning library,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:00:04.046070Z

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Observation cb1cb2bb-20b1-42cf-a921-16bd95329e4c · outbound

This paper cites Differentiable MadNIS-Lite.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Differentiable MadNIS-Lite

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T14:00:03.192774Z

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Observation bb4ccd81-f67a-4938-b37e-fd9784a8113d · outbound

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Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:00:04.032241Z

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Observation dc23bfa6-b716-45e9-950f-a9b015987460 · outbound

This paper cites Event Generation with Sherpa 2.2.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Event Generation with Sherpa 2.2

Reference 63

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This paper cites Software available from tensorflow.org.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Software available from tensorflow.org

Reference 2015

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:00:04.116238Z

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Observation 2a1ea0b3-7df9-41dc-b4d0-49685bd077f3 · outbound

This paper cites Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release.

Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields Speeding up Madgraph5 aMC@NLO through CPU vectorization and GPU offloading: towards a first alpha release

Reference 2023

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Pith citing papers

Observation feef481c-7e9c-4df5-bc68-413b434ee960 · inbound

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

Data-parallel leading-order event generation in MadGraph5_aMC@NLO Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T13:08:12.882825Z

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Observation 978e0722-104b-43c2-9432-a480cc9339cc · inbound

Linac: linear algebra with CUDA over finite fields cites this paper.

Linac: linear algebra with CUDA over finite fields Accelerating Berends-Giele recursion for gluons in arbitrary dimensions over finite fields

Reference 7

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