Paper Citation Record · LEDGER

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning

As of 19 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2607.11139.

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2607.11139 v1

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Outbound references

Observation 24494efb-0bd0-4dcd-b1d0-f7431cdc5c67 · outbound

This paper cites Fr¨ uhwirth and A.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Fr¨ uhwirth and A

Reference 1

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Observation 6b1f713a-b4fd-4ce8-be1e-f0fe401e54eb · outbound

This paper cites The BABAR Detector.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning The BABAR Detector

Reference 2

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Observation f848140a-9ebf-4db5-b69e-150a1a3a658d · outbound

This paper cites Achasov et al.,STCF conceptual design report (Volume 1): Physics & detector,Front.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Achasov et al.,STCF conceptual design report (Volume 1): Physics & detector,Front

Reference 3

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Observation eb164ba7-9b20-4785-94a7-972f1ce889e4 · outbound

This paper cites Pietropaolo et al.,Neutron detection techniques fromµeV to GeV,Phys.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Pietropaolo et al.,Neutron detection techniques fromµeV to GeV,Phys

Reference 4

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Observation b9b3f321-9d81-40f8-8cf2-b5530b6e7fed · outbound

This paper cites He,Simulation and reconstruction of the BESIII EMC,J.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning He,Simulation and reconstruction of the BESIII EMC,J

Reference 5

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Observation da559468-2453-4b4a-b1db-07c625a28192 · outbound

This paper cites The Cosmic Evolution Survey (COSMOS) -- Overview.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning The Cosmic Evolution Survey (COSMOS) -- Overview

Reference 6

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Observation af980987-54b1-4561-92c0-ea2d5a79ed30 · outbound

This paper cites Da Cunha, S.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Da Cunha, S

Reference 7

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Observation 2f63be67-73ee-4f0f-ae54-5f7a9525717e · outbound

This paper cites CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks

Reference 8

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Observation c79cdcea-a90d-4fa1-8324-416fb82a2b3c · outbound

This paper cites Generative Models for Fast Calorimeter Simulation.LHCb case.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Generative Models for Fast Calorimeter Simulation.LHCb case

Reference 9

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Observation e2d89bfd-63fd-4f54-affe-79e14c6793ad · outbound

This paper cites Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Calorimetry with Deep Learning: Particle Simulation and Reconstruction for Collider Physics

Reference 10

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Observation 91599536-e718-4111-9f7b-4144eb91c056 · outbound

This paper cites Fast convolutional neural networks for identifying long-lived particles in a high-granularity calorimeter.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Fast convolutional neural networks for identifying long-lived particles in a high-granularity calorimeter

Reference 11

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Observation 8cf5eceb-92ba-4a50-8491-fcf2d04e4188 · outbound

This paper cites On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning On the Use of Neural Networks for Energy Reconstruction in High-granularity Calorimeters

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-14T06:47:59.784396Z

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Observation 1081f8e7-10bd-4572-9833-ba3507df8065 · outbound

This paper cites Energy reconstruction in a liquid argon calorimeter cell using convolutional neural networks.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Energy reconstruction in a liquid argon calorimeter cell using convolutional neural networks

Reference 13

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Observation a059edfd-5cce-4cc8-a79c-700329fb4a71 · outbound

This paper cites Fast Simulation of a High Granularity Calorimeter by Generative Adversarial Networks.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Fast Simulation of a High Granularity Calorimeter by Generative Adversarial Networks

Reference 14

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Observation 3b8b057a-2dbe-48c1-a382-9e0dec89aec7 · outbound

This paper cites CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning CaloFlow: Fast and Accurate Generation of Calorimeter Showers with Normalizing Flows

Reference 15

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Observation 09a5e2c8-8fe2-4273-a332-e4b96330f0d3 · outbound

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

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Calomplification -- The Power of Generative Calorimeter Models

Reference 16

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Observation 77fa2ba3-2561-40c2-ad9a-c8d926ec7ae8 · outbound

This paper cites GAN with an Auxiliary Regressor for the Fast Simulation of the Electromagnetic Calorimeter Response.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning GAN with an Auxiliary Regressor for the Fast Simulation of the Electromagnetic Calorimeter Response

Reference 17

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Observation 2f98372e-d022-43c0-a648-7b7103a38132 · outbound

This paper cites Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Study of residual artificial neural network for particle identification in the CEPC high-granularity calorimeter prototype

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T06:47:59.784396Z

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Observation 7ab8497d-31a9-436f-89c0-3b13db7fb163 · outbound

This paper cites Particle identification with the Belle II calorimeter using machine learning.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Particle identification with the Belle II calorimeter using machine learning

Reference 19

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Observation 907db2ea-6673-4432-b746-ccb0c1485dd0 · outbound

This paper cites Reconstruction of electromagnetic showers in calorimeters using Deep Learning.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Reconstruction of electromagnetic showers in calorimeters using Deep Learning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-14T06:47:59.784396Z

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Observation 164e75dd-c89b-4b2b-85cc-d6004a8e8890 · outbound

This paper cites Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN

Reference 21

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Observation 83de163f-eff1-48f0-852a-24d0bdde12b1 · outbound

This paper cites CALPAGAN: Calorimetry for Particles using GANs.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning CALPAGAN: Calorimetry for Particles using GANs

Reference 22

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Observation c9e23db8-d4b6-4f47-a3ab-07a3f0a8c344 · outbound

This paper cites A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning A Comparison of Deep Learning Models for Proton Background Rejection with the AMS Electromagnetic Calorimeter

Reference 23

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Observation 234b6211-a24c-4fef-ad58-34ca74ec5d5c · outbound

This paper cites CaloDREAM -- Detector Response Emulation via Attentive flow Matching.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning CaloDREAM -- Detector Response Emulation via Attentive flow Matching

Reference 24

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Observation e4bf7858-bf4c-470e-9918-dbf6c64aee50 · outbound

This paper cites Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Calo-VQ: Vector-Quantized Two-Stage Generative Model in Calorimeter Simulation

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T06:47:59.784396Z

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Observation bf84ae78-a5c9-48fe-8d2b-92e418fa4dab · outbound

This paper cites End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

Reference 26

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Observation 368fc172-c346-4395-8363-e975d5f28fff · outbound

This paper cites CaloGraph: Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning CaloGraph: Graph-based diffusion model for fast shower generation in calorimeters with irregular geometry

Reference 27

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Observation 828dd5f8-7ca5-4026-a81b-6057664eb541 · outbound

This paper cites Vertex Imaging Hadron Calorimetry Using AI/ML Tools.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Vertex Imaging Hadron Calorimetry Using AI/ML Tools

Reference 28

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Observation d3a03c9d-4e8b-4b43-981a-f3eecb0e8e59 · outbound

This paper cites The Optimal use of Segmentation for Sampling Calorimeters.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning The Optimal use of Segmentation for Sampling Calorimeters

Reference 29

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Observation 2768604d-4061-41cc-88b7-ef1309dc32ce · outbound

This paper cites CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning CaloClouds: Fast Geometry-Independent Highly-Granular Calorimeter Simulation

Reference 30

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Observation 479bc934-a8f9-4fb4-a2ce-a9b88ed8b3fe · outbound

This paper cites CaloPointFlow II Generating Calorimeter Showers as Point Clouds.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning CaloPointFlow II Generating Calorimeter Showers as Point Clouds

Reference 31

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Observation 4e84cb7d-8876-4ed1-910c-23ef8fb7f82a · outbound

This paper cites Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Cluster Reconstruction in Electromagnetic Calorimeters Using Machine Learning Methods

Reference 32

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This paper cites Amram et al.,CaloChallenge 2022: a community challenge for fast calorimeter simulation,Rept.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Amram et al.,CaloChallenge 2022: a community challenge for fast calorimeter simulation,Rept

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Observation 88dcbdb3-ad72-41cc-a43d-827a7a326699 · outbound

This paper cites Everingham, L.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Everingham, L

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Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Unresolved cited work

Reference 35

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Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Unresolved cited work

Reference 36

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Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Unresolved cited work

Reference 37

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This paper cites Vaswani, N.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Vaswani, N

Reference 38

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Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Unresolved cited work

Reference 39

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This paper cites Number of $\rm J/\psi$ events at BESIII.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Number of $\rm J/\psi$ events at BESIII

Reference 40

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This paper cites Cavallari,Performance of calorimeters at the lhc,Journal of Physics: Conference Series 293(2011) 012001.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Cavallari,Performance of calorimeters at the lhc,Journal of Physics: Conference Series 293(2011) 012001

Reference 41

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This paper cites Precision Kaon and Hadron Physics with KLOE.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Precision Kaon and Hadron Physics with KLOE

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Observation 58005972-2ec6-49bc-9755-26e6ea20bad3 · outbound

This paper cites Electron-Ion Collider in China.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Electron-Ion Collider in China

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Observation 1dcb818b-146f-4da9-adce-52f0ab223943 · outbound

This paper cites Mixed-representation calorimetric network.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Mixed-representation calorimetric network

Reference 44

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Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Unresolved cited work

Reference 45

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Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Unresolved cited work

Reference 46

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Observation da4fe6f8-b714-4318-a599-928f1f600a5a · outbound

This paper cites Devlin, M.-W.

Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Devlin, M.-W

Reference 47

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Antineutron reconstruction in electromagnetic calorimeters with mixed-representation learning Unresolved cited work

Reference 48

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