Paper Citation Record · LEDGER

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation

As of 9 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 2 inbound Pith citation observations for arXiv:2502.08052.

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

pith.paper-citation-record.v1
2502.08052 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:07:33.082957Z

measured 68 of 68 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 2026-06-27T12:36:57.710877Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T06:37:42.875719Z

Reference resolution

66 of 66 outbound references displayed

verified exact6
verified fuzzy2
unresolved58
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e48ac2a-53cc-406b-818a-49f97c5cd1d7 · outbound

This paper cites Computational challenges for MC event generation.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Computational challenges for MC event generation

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:07:33.823505Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 97a87c47-87ab-4886-bea3-522980957872 · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Challenges in Monte Carlo event generator software for High-Luminosity LHC

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.856574Z

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Observation 5a5d545d-e812-431b-8d5e-00087085cf17 · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A Roadmap for HEP Software and Computing R&D for the 2020s

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.859823Z

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Observation 317189f2-564e-4bfc-ba91-063b5ba2560c · outbound

This paper cites Matching NLO QCD computations and parton shower simulations.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Matching NLO QCD computations and parton shower simulations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.864091Z

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Observation 38be3747-bc07-43da-831d-fd5f8ce1791b · outbound

This paper cites Matching NLO QCD and parton showers in heavy flavour production.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Matching NLO QCD and parton showers in heavy flavour production

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.868268Z

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Observation 2f26bb29-a746-41c7-9b6b-860f9af36e32 · outbound

This paper cites The MC@NLO 2.0 Event Generator.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation The MC@NLO 2.0 Event Generator

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.872022Z

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Observation 99f2cb2c-0250-42b7-a39c-d6c291edbe3e · outbound

This paper cites Shyamsundar ,A demonstration of ARCANE reweighting: Reducing the sign problem i n the MC@NLO generation of e+e− → q¯ q+ 1 jet events (2025), 2501.YYYYY.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Shyamsundar ,A demonstration of ARCANE reweighting: Reducing the sign problem i n the MC@NLO generation of e+e− → q¯ q+ 1 jet events (2025), 2501.YYYYY

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:33.862050Z

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Observation 8576a08f-5173-4f57-b921-4624176da76a · outbound

This paper cites A critical appraisal of NLO+PS matching methods.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A critical appraisal of NLO+PS matching methods

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.880382Z

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Observation 20095cf3-4bd7-4de6-aa17-019c59700ae4 · outbound

This paper cites Introduction to parton-shower event generators.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Introduction to parton-shower event generators

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.884461Z

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Observation 8443f736-3581-4060-8376-14eadc537e53 · outbound

This paper cites The Sudakov Veto Algorithm Reloaded.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation The Sudakov Veto Algorithm Reloaded

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.887928Z

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Observation 2ffbe90d-0c61-4303-bfe3-a8739cbe5bb9 · outbound

This paper cites Fooling Around with the Sudakov Veto Algorithm.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Fooling Around with the Sudakov Veto Algorithm

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.891337Z

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Observation b6d7fd46-baa9-4beb-aad8-d436b95e1dd1 · outbound

This paper cites Competing Sudakov Veto Algorithms.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Competing Sudakov Veto Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.895189Z

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Observation 5033cf9b-d9e2-4c33-a680-5f3d04b4ff30 · 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.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation The automated computation of tree-level and next-to-leading order differential cross sections, and their matching to parton shower simulations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.898409Z

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Observation 03a08cd0-b565-47fd-af69-94943230621d · outbound

This paper cites A comprehensive guide to the physics and usage of PYTHIA 8.3.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A comprehensive guide to the physics and usage of PYTHIA 8.3

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.901798Z

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Observation 66f156de-01b0-46c7-b48e-4c0104bb7c14 · outbound

This paper cites Event generation with Sherpa 3.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Event generation with Sherpa 3

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.905375Z

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Observation 290282db-c612-4b4e-9304-af98ec0d75a2 · outbound

This paper cites Introduction to Monte Carlo methods.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Introduction to Monte Carlo methods

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.909172Z

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Observation 30812188-2896-4b7a-a2d3-20279651fea1 · outbound

This paper cites an unresolved cited work.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Unresolved cited work

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.912984Z

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Observation 56e88a92-86bd-4d15-b734-43ca9f573cd3 · outbound

This paper cites Exploring phase space with Neural Importance Sampling.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Exploring phase space with Neural Importance Sampling

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.916342Z

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Observation 2d1af8e9-5f0d-4174-b4b9-21ea10c3ab86 · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation i-flow: High-dimensional Integration and Sampling with Normalizing Flows

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.920146Z

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Observation a4e8aee1-312a-48e3-bf2b-ffcd758c88bd · outbound

This paper cites Event Generation with Normalizing Flows.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Event Generation with Normalizing Flows

Reference 20

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Observation 6e4a9dc1-e4e8-46ed-9887-81e55a23d0a5 · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation MadNIS -- Neural Multi-Channel Importance Sampling

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.926712Z

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Observation 5c034c20-3ffd-43c8-8c47-ed9335843a9d · outbound

This paper cites The MadNIS Reloaded.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation The MadNIS Reloaded

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.929881Z

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Observation ad4bff4f-40ef-4d40-82d6-1d74b258000b · outbound

This paper cites Differentiable MadNIS-Lite.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Differentiable MadNIS-Lite

Reference 23

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Observation c4bc9f87-0b0f-44d2-9ac4-4b1c3ee18d5a · outbound

This paper cites Herwig 7.3 Release Note.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Herwig 7.3 Release Note

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.936249Z

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Observation bacb68fb-c24c-4572-9d10-c792dd8b4e4b · outbound

This paper cites A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A general framework for implementing NLO calculations in shower Monte Carlo programs: the POWHEG BOX

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.939836Z

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Observation 4bf92e7b-de93-4010-b799-86c08579b504 · outbound

This paper cites Agostinelli et al.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Agostinelli et al

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.943494Z

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Observation 2dd5d7f8-4dcc-45b5-b8e7-77678352d088 · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Efficient phase-space generation for hadron collider event simulation

Reference 27

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Observation c4052552-756d-4fe1-9332-4d3bab2351ab · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A Portable Parton-Level Event Generator for the High-Luminosity LHC

Reference 28

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Observation 81a37eb7-824e-462d-9997-aaf3694b70c7 · outbound

This paper cites A New Method for Combining NLO QCD with Shower Monte Carlo Algorithms.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A New Method for Combining NLO QCD with Shower Monte Carlo Algorithms

Reference 29

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Observation f8c67644-6afb-473e-975b-444199fbe488 · outbound

This paper cites Matching NLO QCD computations with Parton Shower simulations: the POWHEG method.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Matching NLO QCD computations with Parton Shower simulations: the POWHEG method

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.957640Z

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Observation b164a026-6570-49d8-aa2e-368caa159739 · outbound

This paper cites Matching NLO QCD with parton shower in Monte Carlo scheme - the KrkNLO method.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Matching NLO QCD with parton shower in Monte Carlo scheme - the KrkNLO method

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:32.961150Z

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Observation 7be93cbf-5995-4bdc-9e91-69c3676ee024 · outbound

This paper cites On the reduction of negative weights in MC@NLO-type matching procedures.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation On the reduction of negative weights in MC@NLO-type matching procedures

Reference 32

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Observation 5c7e9ccf-2987-4589-976a-d8d1f67b7499 · outbound

This paper cites Reducing negative weights in Monte Carlo event generation with Sherpa.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Reducing negative weights in Monte Carlo event generation with Sherpa

Reference 33

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Observation fc6bb792-3a3a-4756-a828-a3989e6777f2 · outbound

This paper cites A Positive Resampler for Monte Carlo Events with Negative Weights.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A Positive Resampler for Monte Carlo Events with Negative Weights

Reference 34

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Observation 3bf1cea3-17e5-4726-88b2-c6e5700d322a · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A Neural Resampler for Monte Carlo Reweighting with Preserved Uncertainties

Reference 35

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Observation 62a99988-c6c7-4bdc-b6cf-261bac0c3478 · outbound

This paper cites Unbiased Elimination of Negative Weights in Monte Carlo Samples.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Unbiased Elimination of Negative Weights in Monte Carlo Samples

Reference 36

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Observation e9ea13dc-273e-49d2-9021-673c71e0b667 · outbound

This paper cites Efficient negative-weight elimination in large high-multiplicity Monte Carlo event samples.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Efficient negative-weight elimination in large high-multiplicity Monte Carlo event samples

Reference 37

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This paper cites A Cell Resampler study of Negative Weights in Multi-jet Merged Samples.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A Cell Resampler study of Negative Weights in Multi-jet Merged Samples

Reference 38

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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Unresolved cited work

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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation How to GAN Event Subtraction

Reference 40

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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation How to GAN Event Unweighting

Reference 41

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This paper cites Generative Networks for Precision Enthusiasts.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Generative Networks for Precision Enthusiasts

Reference 42

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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation MINT: a Computer Program for Adaptive Monte Carlo Integration and Generation of Unweighted Distributions

Reference 43

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This paper cites A new way of reducing negative weights in MC@NLO.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation A new way of reducing negative weights in MC@NLO

Reference 44

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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Müller , F

Reference 45

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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Unresolved cited work

Reference 46

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Observation b590e366-5d81-4802-97a3-93aca2dd3847 · outbound

This paper cites Lemieux, Control V ariates , pp.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Lemieux, Control V ariates , pp

Reference 47

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This paper cites Botev and A.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Botev and A

Reference 48

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ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Unresolved cited work

Reference 49

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Observation 791b4cd5-c656-4d56-a26d-399b12feeed9 · outbound

This paper cites Exploring Theory Space with Monte Carlo Reweighting.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Exploring Theory Space with Monte Carlo Reweighting

Reference 50

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This paper cites Reweighting Parton Showers.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Reweighting Parton Showers

Reference 51

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Observation 67aa2f08-b65f-43f0-8513-30dbacb98d4b · outbound

This paper cites Automated Parton-Shower Variations in Pythia 8.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Automated Parton-Shower Variations in Pythia 8

Reference 52

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This paper cites Reweighting QCD matrix-element and parton-shower calculations.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Reweighting QCD matrix-element and parton-shower calculations

Reference 53

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Observation 9eb6626a-800e-459f-9e8e-94ea7e108d23 · outbound

This paper cites Reweighting Monte Carlo Predictions and Automated Fragmentation Variations in Pythia 8.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Reweighting Monte Carlo Predictions and Automated Fragmentation Variations in Pythia 8

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.039396Z

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Observation cbb8e49e-7717-4905-8d4b-86887e5adb8b · outbound

This paper cites Towards a data-driven model of hadronization using normalizing flows.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Towards a data-driven model of hadronization using normalizing flows

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.043153Z

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Observation b979ce8c-d968-4e16-8986-bd3322e82e66 · outbound

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

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Describing Hadronization via Histories and Observables for Monte-Carlo Event Reweighting

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.047148Z

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Observation 86e5cf8d-3318-48b9-afd6-aeb449715574 · outbound

This paper cites Weight optimization in multichannel Monte Carlo.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Weight optimization in multichannel Monte Carlo

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.050863Z

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Observation 79bf9c16-8adb-45fc-aba4-a902d5477758 · outbound

This paper cites Kobyzev , S.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Kobyzev , S

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.054548Z

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Unavailable: canonical work link unavailable.

Observation a9b64ec2-ffb6-4044-862d-147049068720 · outbound

This paper cites OASIS: Optimal Analysis-Specific Importance Sampling for event generation.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation OASIS: Optimal Analysis-Specific Importance Sampling for event generation

Reference 59

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:07:33.193451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 51b207aa-8252-4f3b-a2d3-637fdbdd36c1 · outbound

This paper cites an unresolved cited work.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:07:33.852302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b28cc16e-bd6b-4151-bd8f-ea5d21cb50c3 · outbound

This paper cites an unresolved cited work.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:07:33.842505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3480b611-9f0a-4ac3-81db-169e9f1939f2 · outbound

This paper cites Uncertainties associated with GAN-generated datasets in high energy physics.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Uncertainties associated with GAN-generated datasets in high energy physics

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:07:33.180446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 102dfba7-4980-496f-832f-858a83fdf7aa · outbound

This paper cites GANplifying Event Samples.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation GANplifying Event Samples

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.072144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee38f3f2-e54f-46de-8a29-4f609eb750b3 · outbound

This paper cites Calomplification -- The Power of Generative Calorimeter Models.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Calomplification -- The Power of Generative Calorimeter Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.075952Z

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Observation 585a96d8-766d-4c74-baa3-2832726da1f7 · outbound

This paper cites Calibrating Bayesian Generative Machine Learning for Bayesiamplification.

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Calibrating Bayesian Generative Machine Learning for Bayesiamplification

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-08T11:07:33.079529Z

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Unavailable: canonical work link unavailable.

Observation 042c6403-9484-4d73-b546-95ae1bc19ca0 · outbound

This paper cites Shyamsundar ,The Bias–V ariance–Correlation tradeoff and some of its implicat ions for machine learning in high energy physics (in preparation).

ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation Shyamsundar ,The Bias–V ariance–Correlation tradeoff and some of its implicat ions for machine learning in high energy physics (in preparation)

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:07:33.833221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 25f55bd4-8d7c-48d6-9493-d4f6d02df765 · inbound

Precision Cell Resampling with a Relative and Resonant Aware Metric cites this paper.

Precision Cell Resampling with a Relative and Resonant Aware Metric ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:32:34.693091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ea58aafd-8a4e-4e36-b734-4195814a615d · inbound

Matrix element method at NLO: A fine proof of concept in POWHEG cites this paper.

Matrix element method at NLO: A fine proof of concept in POWHEG ARCANE Reweighting: A Monte Carlo Technique to Tackle the Negative Weights Problem in Collider Event Generation

Reference 105

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T06:37:42.877285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.