Paper Citation Record · LEDGER

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2508.09938.

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

pith.paper-citation-record.v1
2508.09938 v1

Coverage vector

measured 45 of 45 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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External citation measurements

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Outbound references

Observation 78119a80-6427-4560-be99-e1b6e7afa725 · outbound

This paper cites The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters The LHC Olympics 2020: A Community Challenge for Anomaly Detection in High Energy Physics

Reference 1

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Observation 259af5f5-9a8d-40a2-9350-94e419943922 · outbound

This paper cites Icecube - neutrinos in deep ice.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Icecube - neutrinos in deep ice

Reference 2

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Observation 09c1d657-83aa-424d-8f52-133d0ac1aec9 · outbound

This paper cites CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters CaloChallenge 2022: A Community Challenge for Fast Calorimeter Simulation

Reference 3

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Observation f062acc5-26df-4c6e-86ba-ba1ce475fbb6 · outbound

This paper cites F AIR Universe HiggsML Uncertainty Challenge Competition.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters F AIR Universe HiggsML Uncertainty Challenge Competition

Reference 4

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Observation 9a1f7f74-b929-4e30-ab0a-23646ac42234 · outbound

This paper cites The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters The Dark Machines Anomaly Score Challenge: Benchmark Data and Model Independent Event Classification for the Large Hadron Collider

Reference 5

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Observation 6ca97941-843d-43e7-bcd3-90edf777b28f · outbound

This paper cites Electron Ion Collider: The Next QCD Frontier - Understanding the glue that binds us all.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Electron Ion Collider: The Next QCD Frontier - Understanding the glue that binds us all

Reference 6

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Observation fd3b0633-f37f-4f1e-b79f-baeae2843c33 · outbound

This paper cites Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Snowmass 2021 White Paper: Electron Ion Collider for High Energy Physics

Reference 7

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Observation 1a27dedd-414f-490c-bedd-e5ebd2f410d7 · outbound

This paper cites Artificial Intelligence for the Electron Ion Collider (AI4EIC).

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Artificial Intelligence for the Electron Ion Collider (AI4EIC)

Reference 8

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Observation 6e457ea0-28ba-4f38-831a-1d64a9953955 · outbound

This paper cites Hgs-hire power week - an epic competition.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Hgs-hire power week - an epic competition

Reference 9

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Observation 90ef4d67-06ad-4a8c-a201-4c35689891f5 · outbound

This paper cites Scikit-learn: Machine Learning in Python.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Scikit-learn: Machine Learning in Python

Reference 10

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Observation b6537c47-646c-4990-8c7a-b6c328b8533f · outbound

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

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Particle-flow reconstruction and global event description with the CMS detector

Reference 11

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Observation eac1baa8-b99b-4d39-8e05-678e4d1dbb59 · outbound

This paper cites Fuzzy V-measure - an evaluation method for cluster analyses of ambiguous data.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Fuzzy V-measure - an evaluation method for cluster analyses of ambiguous data

Reference 12

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This paper cites V-measure: A conditional entropy-based external cluster evaluation measure.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters V-measure: A conditional entropy-based external cluster evaluation measure

Reference 13

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Observation 1a77bde5-ae8f-485a-9975-083cfba67b88 · outbound

This paper cites The CMS Experiment at the CERN LHC.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters The CMS Experiment at the CERN LHC

Reference 14

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This paper cites The ATLAS experiment at the CERN Large Hadron Collider.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters The ATLAS experiment at the CERN Large Hadron Collider

Reference 15

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Observation cbb8cc5f-4d35-4b53-b064-e0701a5a2a9b · outbound

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

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Particle-flow reconstruction and global event description with the CMS detector

Reference 16

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Observation 32762957-6629-49f3-b09d-bd63134f445b · outbound

This paper cites Jet reconstruction and performance using particle flow with the ATLAS detector.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Jet reconstruction and performance using particle flow with the ATLAS detector

Reference 17

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This paper cites Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Topological cell clustering in the ATLAS calorimeters and its performance in LHC Run 1

Reference 18

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Observation 7efeafe0-d060-4199-ab4a-cfe844b5f042 · outbound

This paper cites Calorimeter Clustering Algorithms: Description and Performance.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Calorimeter Clustering Algorithms: Description and Performance

Reference 19

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Observation eff3627b-b2c5-4a53-8888-7a4d19553809 · outbound

This paper cites The Iterative Clustering framework for the CMS HGCAL Reconstruction.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters The Iterative Clustering framework for the CMS HGCAL Reconstruction

Reference 20

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Observation edf933dc-76c8-4efb-a91a-a77cecd0187f · outbound

This paper cites Performance of the ALICE Electromagnetic Calorimeter.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Performance of the ALICE Electromagnetic Calorimeter

Reference 21

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Observation 4e9529f4-1082-4f71-bf43-bc1e10916981 · outbound

This paper cites Graph Clustering: a graph-based clustering algorithm for the electromagnetic calorimeter in LHCb.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Graph Clustering: a graph-based clustering algorithm for the electromagnetic calorimeter in LHCb

Reference 22

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Observation 0f18df72-2f55-4bc1-9d5d-90b6d43aa6fa · outbound

This paper cites The Phase-2 Upgrade of the CMS Endcap Calorimeter.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters The Phase-2 Upgrade of the CMS Endcap Calorimeter

Reference 23

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This paper cites Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph, and image data

Reference 24

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This paper cites GNN-based end-to-end reconstruction in the CMS phase 2 high-granularity calorimeter.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters GNN-based end-to-end reconstruction in the CMS phase 2 high-granularity calorimeter

Reference 25

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This paper cites ePIC Clustering 2023.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters ePIC Clustering 2023

Reference 26

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Observation 4a68b871-4d9d-418f-bbfc-7359f0d44ee4 · outbound

This paper cites Performance of the electromagnetic pixel calorimeter prototype epical-2.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Performance of the electromagnetic pixel calorimeter prototype epical-2

Reference 27

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Observation 8823415e-7781-496c-874b-431361ee3c85 · outbound

This paper cites The anti-k_t jet clustering algorithm.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters The anti-k_t jet clustering algorithm

Reference 28

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This paper cites FastJet user manual.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters FastJet user manual

Reference 29

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This paper cites Applied Predictive Modeling.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Applied Predictive Modeling

Reference 30

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This paper cites Deep Learning.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Deep Learning

Reference 31

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This paper cites A density-based algorithm for discovering clusters in large spatial databases with noise.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters A density-based algorithm for discovering clusters in large spatial databases with noise

Reference 32

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This paper cites Ensemble methods in machine learning.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Ensemble methods in machine learning

Reference 33

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Observation f11a9dd2-4867-4e36-94b3-d53ac15525ef · outbound

This paper cites Inertia-based indices to determine the number of clusters in k-means: An experimental evaluation.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Inertia-based indices to determine the number of clusters in k-means: An experimental evaluation

Reference 34

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This paper cites Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Graph Neural Networks for Particle Reconstruction in High Energy Physics detectors

Reference 35

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This paper cites ATLAS ITk Track Reconstruction with a GNN-based pipeline.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters ATLAS ITk Track Reconstruction with a GNN-based pipeline

Reference 36

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This paper cites Graph Neural Network Jet Flavour Tagging with the ATLAS Detector.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Graph Neural Network Jet Flavour Tagging with the ATLAS Detector

Reference 37

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Observation 69d89cc9-dbcd-4c93-8c3a-22638f1c442e · outbound

This paper cites Flavour tagging with graph neural networks with the ATLAS detector.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Flavour tagging with graph neural networks with the ATLAS detector

Reference 38

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This paper cites Graph neural networks for low-energy event classification & reconstruction in IceCube.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Graph neural networks for low-energy event classification & reconstruction in IceCube

Reference 39

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This paper cites GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters GNN-based end-to-end reconstruction in the CMS Phase 2 High-Granularity Calorimeter

Reference 40

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This paper cites Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Graph Neural Networks in Particle Physics: Implementations, Innovations, and Challenges

Reference 41

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Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Graph neural networks in particle physics

Reference 42

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This paper cites An improved algorithm for finding the strongly connected components of a directed graph.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters An improved algorithm for finding the strongly connected components of a directed graph

Reference 43

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This paper cites SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters SciPy 1.0: Fundamental Algorithms for Scientific Computing in Python

Reference 44

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This paper cites Information theoretic measures for clusterings comparison: Variants.

Machine Learning Power Week 2023: Clustering in Hadronic Calorimeters Information theoretic measures for clusterings comparison: Variants

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:44:25.228577Z

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Pith citing papers

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