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Paper Citation Record · LEDGER

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter

As of 17 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 2 inbound Pith citation observations for arXiv:2602.15118.

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

pith.paper-citation-record.v1
2602.15118 v2

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measured 71 of 71 reference resolution

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Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:57:41.380624Z

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Source: arxiv_reference, observed 2026-05-12T05:21:26.461722Z

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71 of 71 outbound references displayed

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Outbound references

Observation 71adc44e-2eb9-461d-b31f-104afbaa61e8 · outbound

This paper cites SuperKEKB Collider.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter SuperKEKB Collider

Reference 1

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Observation a3c50b92-8ffe-4c95-9646-a9a115c6d67d · outbound

This paper cites Measured and projected beam backgrounds in the Belle II experiment at the SuperKEKB collider.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Measured and projected beam backgrounds in the Belle II experiment at the SuperKEKB collider

Reference 3

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Observation b07469e2-9ced-4fb9-aa46-40ef02e9ca62 · outbound

This paper cites The Dark Photon.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter The Dark Photon

Reference 4

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Observation 479ccb1a-09c9-46cb-acb2-21022a53ce65 · outbound

This paper cites Belle II sensitivity to long-lived dark photons.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Belle II sensitivity to long-lived dark photons

Reference 5

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Observation 8633f9bc-ca9d-436a-8b3b-91cdc1f3776c · outbound

This paper cites Jaeckel and A.V.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Jaeckel and A.V

Reference 6

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Observation 2a07dfdb-888f-44fb-9e15-8a399f65316c · outbound

This paper cites Invisible and displaced dark matter signatures at Belle II.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Invisible and displaced dark matter signatures at Belle II

Reference 7

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Observation 1b9ddb61-6ba1-450d-bae8-6f62fd6baf39 · outbound

This paper cites an unresolved cited work.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Unresolved cited work

Reference 8

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Observation 083f4f1c-8ed1-4590-b993-1ca8db3dc291 · outbound

This paper cites Revised constraints and Belle II sensitivity for visible and invisible axion-like particles.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Revised constraints and Belle II sensitivity for visible and invisible axion-like particles

Reference 9

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Observation c0128a83-9178-46dd-9370-28bc0fde8787 · outbound

This paper cites Search for Axion-Like Particles produced in $e^+e^-$ collisions at Belle II.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Search for Axion-Like Particles produced in $e^+e^-$ collisions at Belle II

Reference 10

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Observation c88bbc7b-3812-40ee-87d8-dcb21425f741 · outbound

This paper cites Design of the Global Reconstruction Logic in the Belle II Level-1 Trigger system.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Design of the Global Reconstruction Logic in the Belle II Level-1 Trigger system

Reference 11

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Observation aba26676-69de-41ea-a7fa-35ce7bd81f82 · outbound

This paper cites an unresolved cited work.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Unresolved cited work

Reference 12

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Observation 05a32cfd-c388-41c5-8559-725c78db9bf5 · outbound

This paper cites Canudas et al.,Graph Clustering: A Graph-Based Clustering Algorithm for the Electromagnetic Calorimeter in LHCb,The European Physical Journal C83(2023).

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Canudas et al.,Graph Clustering: A Graph-Based Clustering Algorithm for the Electromagnetic Calorimeter in LHCb,The European Physical Journal C83(2023)

Reference 13

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Observation de681024-6d16-4ce7-a6a7-1ab28f4e4b18 · outbound

This paper cites Valsecchi,Deep Learning Techniques for Energy Clustering in The CMS ECAL,Journal of Physics: Conference Series2438(2023) 012077.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Valsecchi,Deep Learning Techniques for Energy Clustering in The CMS ECAL,Journal of Physics: Conference Series2438(2023) 012077

Reference 14

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Observation f3c13822-0e30-41bc-aa6e-a8caa77f6b0e · outbound

This paper cites Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Photon Reconstruction in the Belle II Calorimeter Using Graph Neural Networks

Reference 15

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Observation 67816f6c-5e06-4f12-b81d-aff21c432d1b · outbound

This paper cites Simkina,Machine Learning Techniques for Calorimetry,Instruments6(2022) 47.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Simkina,Machine Learning Techniques for Calorimetry,Instruments6(2022) 47

Reference 16

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Observation 181865e2-a82e-4be0-9c83-708612678bb2 · outbound

This paper cites Belayneh et al.,Calorimetry With Deep Learning: Particle Simulation and Reconstruction for Collider Physics,The European Physical Journal C80(2019).

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Belayneh et al.,Calorimetry With Deep Learning: Particle Simulation and Reconstruction for Collider Physics,The European Physical Journal C80(2019)

Reference 17

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Observation 3d53b35f-374f-4cb5-abd5-a1c21b4c2735 · outbound

This paper cites Boldyrev, V.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Boldyrev, V

Reference 18

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Observation bb331692-4281-4e62-b963-3f1cda2440a2 · outbound

This paper cites Identification of light leptons and pions in the electromagnetic calorimeter of Belle II.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Identification of light leptons and pions in the electromagnetic calorimeter of Belle II

Reference 19

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Observation 597cd825-e229-42e8-ad72-4246ba7817ff · outbound

This paper cites Shlomi, P.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Shlomi, P

Reference 20

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Observation 195da170-0a02-4844-92b2-5a2896546e49 · outbound

This paper cites Graph Neural Networks for Particle Tracking and Reconstruction.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Graph Neural Networks for Particle Tracking and Reconstruction

Reference 21

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Observation 3e866395-7923-479a-ae77-43ce0a6df991 · outbound

This paper cites DeZoort et al.,Graph neural networks at the Large Hadron Collider,Nature Rev.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter DeZoort et al.,Graph neural networks at the Large Hadron Collider,Nature Rev

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Observation 8b9160a5-2b0f-42de-b63e-b990e2d4b3f7 · outbound

This paper cites Dynamic Graph CNN for Learning on Point Clouds.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Dynamic Graph CNN for Learning on Point Clouds

Reference 23

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Observation 26dd1563-f30e-48aa-978f-a45386ecba24 · outbound

This paper cites Learning representations of irregular particle-detector geometry with distance-weighted graph networks.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Learning representations of irregular particle-detector geometry with distance-weighted graph networks

Reference 24

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Observation 6fa56392-bd17-446e-838f-ca61a763eb78 · outbound

This paper cites Redmon et al.,You Only Look Once: Unified, Real-Time Object Detection, in2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Redmon et al.,You Only Look Once: Unified, Real-Time Object Detection, in2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

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Observation 2889fca4-1a3c-41a4-a2d9-693fd37423d1 · outbound

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

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Object condensation: one-stage grid-free multi-object reconstruction in physics detectors, graph and image data

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Observation 82a3962b-65d7-4e3f-8e9d-0a8a40bd1e5c · outbound

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

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter End-to-end multi-particle reconstruction in high occupancy imaging calorimeters with graph neural networks

Reference 29

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Observation c347b454-dcc7-465d-aee5-edbae83714f4 · outbound

This paper cites Fast inference of deep neural networks in FPGAs for particle physics.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Fast inference of deep neural networks in FPGAs for particle physics

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Observation 2170084f-d0fd-4f82-814f-b4ff520f09d0 · outbound

This paper cites 10.5281/zenodo.1201549.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter 10.5281/zenodo.1201549

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This paper cites Blott et al.,FINN-R: An end-to-end deep-learning framework for fast exploration of quantized neural networks,TRETS11(2018).

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Blott et al.,FINN-R: An end-to-end deep-learning framework for fast exploration of quantized neural networks,TRETS11(2018)

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Observation 556c9365-7eaa-43ba-87cf-0290e5be73a0 · outbound

This paper cites Kohne et al.,Realization of a second level neural network trigger for the H1 experiment at HERA,Nucl.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Kohne et al.,Realization of a second level neural network trigger for the H1 experiment at HERA,Nucl

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Observation 9cef83a2-d3d1-4c35-9d92-acb9e624356f · outbound

This paper cites The multilevel trigger system of the DIRAC experiment.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter The multilevel trigger system of the DIRAC experiment

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Observation bdb2deeb-17a8-48e0-a825-5227d682a770 · outbound

This paper cites The Neural Network First-Level Hardware Track Trigger of the Belle II Experiment.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter The Neural Network First-Level Hardware Track Trigger of the Belle II Experiment

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Observation 730804e9-c5c3-4016-a60b-d6d6ad7d9694 · outbound

This paper cites Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Distance-Weighted Graph Neural Networks on FPGAs for Real-Time Particle Reconstruction in High Energy Physics

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Observation 2955bd2b-9c7a-47d6-91f5-84f83def5b56 · outbound

This paper cites LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter LL-GNN: Low Latency Graph Neural Networks on FPGAs for High Energy Physics

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Observation 6f4833ea-5dde-4e01-ad30-2e6f8bb18f5d · outbound

This paper cites Real-time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Real-time Graph Building on FPGAs for Machine Learning Trigger Applications in Particle Physics

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Observation 574b785d-54f4-4696-a146-c1d64bd1a535 · outbound

This paper cites Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Intelligent experiments through real-time AI: Fast Data Processing and Autonomous Detector Control for sPHENIX and future EIC detectors

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source=pdf_text observed=2026-08-02T23:01:49.906370Z digest=sha256:824e7c33957d52ff0114b4fa7f9c43b38be67034374ac2facd17ecb026e0f66c

Observation 779cba7b-3b0c-4eb0-8fc7-960f74c852ab · outbound

This paper cites Kou et al.,The Belle II Physics Book,PTEP2019(2019) 123 C01.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Kou et al.,The Belle II Physics Book,PTEP2019(2019) 123 C01

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source=pdf_text observed=2026-08-02T23:01:50.076684Z digest=sha256:0ee0ec078b8c469250d5b374c78d2ceb01d2b4b64f7b4809f535ffe79d0da681

Observation 8e08bdc7-75c5-4c00-9894-11a284bf3182 · outbound

This paper cites Ikeda,Development of the CsI(Tl) Calorimeter for the Measurement of CP Violation at KEK B-Factory, Ph.D.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Ikeda,Development of the CsI(Tl) Calorimeter for the Measurement of CP Violation at KEK B-Factory, Ph.D

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source=pdf_text observed=2026-08-02T23:01:50.214112Z digest=sha256:ddbdb222ea187dc07ec8afa2351b281e7bc528cdf7abaa6c82597f9aec960f02

Observation b42c51b8-8024-4e64-9ad6-a21ff16c74dd · outbound

This paper cites Aulchenko et al.,Time and energy reconstruction at the electromagnetic calorimeter of the Belle-II detector,JINST12(2017) C08001.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Aulchenko et al.,Time and energy reconstruction at the electromagnetic calorimeter of the Belle-II detector,JINST12(2017) C08001

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source=pdf_text observed=2026-08-02T23:01:50.344823Z digest=sha256:6a062619c15d40a1dd622283c373bfe6866403909ff5d67a48bbf631efe04d27

Observation b8e228d8-4795-493d-91d4-8fbfd3f8fdbb · outbound

This paper cites Study of the radiation hardness of CsI(Tl) scintillation crystals.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Study of the radiation hardness of CsI(Tl) scintillation crystals

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source=pdf_text observed=2026-08-02T23:01:50.431419Z digest=sha256:4c5171e0f55d2158d18c23d33860a21be685faab4f06a569ee541f48733d93f8

Observation 5da273bb-7a24-4b0f-bec5-b7d4a3cb8ee4 · outbound

This paper cites Kovalenko et al.,Luminosity online monitor for the Belle II detector,Nucl.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Kovalenko et al.,Luminosity online monitor for the Belle II detector,Nucl

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source=pdf_text observed=2026-08-02T23:01:50.497318Z digest=sha256:58c0d9e21527760251b93ad67d866ccc6f10ea2c2b2257535fb0522ed2c98367

Observation 8b6f89eb-2658-4a75-8c64-8c9a40a1d9f9 · outbound

This paper cites Cheon et al.,Electromagnetic calorimeter trigger at Belle,Nucl.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Cheon et al.,Electromagnetic calorimeter trigger at Belle,Nucl

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source=pdf_text observed=2026-08-02T23:01:50.583958Z digest=sha256:2721f8b237767cc71796fe8ebc452d2d26175263134e960b9f113d94a3f3684e

Observation bdc0a20d-a15d-4ace-9e32-97c801c51ba4 · outbound

This paper cites Belle II Analysis Software Framework (basf2).

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Belle II Analysis Software Framework (basf2)

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source=pdf_text observed=2026-08-02T23:01:50.648943Z digest=sha256:c12f2a019ca55a32669a560686a56125dbd2e40c81db237bd3c5cc7a1c504def

Observation fa6d44db-27bd-405b-97ab-fc30c68b5604 · outbound

This paper cites Measurements of Beam Backgrounds in SuperKEKB Phase 2.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Measurements of Beam Backgrounds in SuperKEKB Phase 2

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source=pdf_text observed=2026-08-02T23:01:50.760774Z digest=sha256:af59f4065723e2fd20992c2b4daa68a593d8ba6b60da07e9a59f1c1cdfdda68f

Observation bce68fa8-a99d-47de-ba8b-8a7515c6ccf8 · outbound

This paper cites Beam background expectations for Belle II at SuperKEKB.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Beam background expectations for Belle II at SuperKEKB

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source=pdf_text observed=2026-08-02T23:01:50.864901Z digest=sha256:7f4557f551ee4c21e25eea76566fdb1a4c1129acb902541f0562e861fc3cfc5e

Observation 837d5072-ed2e-4315-a7ba-10ac860f3e17 · outbound

This paper cites The Precision Monte Carlo Event Generator KK For Two-Fermion Final States In e+e- Collisions.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter The Precision Monte Carlo Event Generator KK For Two-Fermion Final States In e+e- Collisions

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source=pdf_text observed=2026-08-02T23:01:50.950874Z digest=sha256:b84290e6b7bac63099183b658a2afb42274b32f775b4f608cd975327a1986238

Observation fd72d7c2-3170-43bb-ab63-a251252aae8e · outbound

This paper cites Matching perturbative and Parton Shower corrections to Bhabha process at flavour factories.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Matching perturbative and Parton Shower corrections to Bhabha process at flavour factories

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source=pdf_text observed=2026-08-02T23:01:51.025494Z digest=sha256:18a9cdbe330e0d3a28115a8847752cc0f195bc31f0104aa6ecb686ba87c3c05b

Observation a37fa0d1-ab4e-4859-adee-9bd3a8000259 · outbound

This paper cites Gaiser,Charmonium Spectroscopy From Radiative Decays of the𝐽/𝜓and𝜓′, Ph.D.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Gaiser,Charmonium Spectroscopy From Radiative Decays of the𝐽/𝜓and𝜓′, Ph.D

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source=pdf_text observed=2026-08-02T23:01:51.139693Z digest=sha256:3834f5607d251400b5ea9c6ac1dfde9cfa6ae4ad21000cfc320f08fedf9c07fe

Observation 9f4d9838-9208-46e6-9b88-37fbba5dec4a · outbound

This paper cites Skwarnicki,A study of the radiative CASCADE transitions between the Upsilon-Prime and Upsilon resonances, Ph.D.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Skwarnicki,A study of the radiative CASCADE transitions between the Upsilon-Prime and Upsilon resonances, Ph.D

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source=pdf_text observed=2026-08-02T23:01:51.220834Z digest=sha256:afe513977f1e15b3d350dbf0597ea2da249f01fdfa183c643915235be7929e7d

Observation 938c3a9b-753d-48f5-885a-bae647d7cd09 · outbound

This paper cites Chollet et al., “Keras.”https://keras.io, 2015.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Chollet et al., “Keras.”https://keras.io, 2015

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source=pdf_text observed=2026-08-02T23:01:51.384948Z digest=sha256:750dd9716e5abe7c8e7e383167aaa4d57b423b29ff2cfb9312b8c2fe0dc0b238

Observation 15870066-f133-4853-9b7e-1f2be3d1b804 · outbound

This paper cites Deep Learning using Rectified Linear Units (ReLU).

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Deep Learning using Rectified Linear Units (ReLU)

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source=pdf_text observed=2026-08-02T23:01:51.588564Z digest=sha256:e3ba13524bb7c33c7b677913383136fd9695b367f0cc95b22c0619c32ea100a2

Observation dac43fde-5ba0-4c7e-b67c-7b0eb0e8c5ac · outbound

This paper cites Coelho et al.,Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors,Nature Machine Intelligence3(2021) 675.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Coelho et al.,Automatic heterogeneous quantization of deep neural networks for low-latency inference on the edge for particle detectors,Nature Machine Intelligence3(2021) 675

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source=pdf_text observed=2026-08-02T23:01:51.746304Z digest=sha256:6e9b65cc106ebc05575be20640c5f7c8bfc928fea0710a011ee7054ab74a1a84

Observation 1b82cf8d-ee86-4aad-9844-13816e39fa10 · outbound

This paper cites To prune, or not to prune: exploring the efficacy of pruning for model compression.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter To prune, or not to prune: exploring the efficacy of pruning for model compression

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source=pdf_text observed=2026-08-02T23:01:51.912344Z digest=sha256:7651e8c0462c8275f67c380130e04cccea2e620de909a648967560ec857ff33e

Observation 7a6c6090-7492-4828-8c4d-0e73c0a7a402 · outbound

This paper cites Experiment Tracking with Weights and Biases.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Experiment Tracking with Weights and Biases

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source=pdf_text observed=2026-08-02T23:01:52.017796Z digest=sha256:621f5856c91dc0a417dcaec40a9e548a2d5ea95195275195372bde00edf26059

Observation f8038683-e7f4-47fa-9b3a-f1cb732a155e · outbound

This paper cites AMBA AXI-Stream Protocol Specification.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter AMBA AXI-Stream Protocol Specification

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source=pdf_text observed=2026-08-02T23:01:52.179159Z digest=sha256:1ff0c3a7a79f8c40c2a6b205782739799e1a7e66157593b6a98be5a2637327d7

Observation cbeb5be5-2fe6-459c-aeb2-13d9f45f3db2 · outbound

This paper cites an unresolved cited work.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Unresolved cited work

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source=pdf_text observed=2026-08-02T23:01:52.241588Z digest=sha256:0521bf5b36684464c2276e89410350af8d00596f866bc3790c8e3c67faadda1a

Observation aed4e319-22be-41b7-8c0d-c91c0b14a2c0 · outbound

This paper cites Sun et al.,Belle2Link: A Global Data Readout and Transmission for Belle II Experiment at KEK, Physics Procedia37(2012) 1933.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Sun et al.,Belle2Link: A Global Data Readout and Transmission for Belle II Experiment at KEK, Physics Procedia37(2012) 1933

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source=pdf_text observed=2026-08-02T23:01:52.327485Z digest=sha256:a1474afbc91c04bc06af78deb90f08d3c7caffe899bb490cc71d9eafa6338507

Observation 13d54f07-612c-4303-97eb-f3a10f48caa1 · outbound

This paper cites Yamada et al.,Data Acquisition System for the Belle II Experiment,IEEE Transactions on Nuclear Science62(2015) 1175.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Yamada et al.,Data Acquisition System for the Belle II Experiment,IEEE Transactions on Nuclear Science62(2015) 1175

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source=pdf_text observed=2026-08-02T23:01:52.429428Z digest=sha256:0123c75734decec8d1a1f00c8c991bad05b97bc211ef45c3b0bc5bb579a74a4a

Observation 8fad5598-ab8c-4ef0-a9df-fed452cf6d18 · outbound

This paper cites Bachrach et al.,Chisel: Constructing Hardware in a Scala Embedded Language, inProceedings of the 49th Annual Design Automation Conference, (San Francisco California), pp.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Bachrach et al.,Chisel: Constructing Hardware in a Scala Embedded Language, inProceedings of the 49th Annual Design Automation Conference, (San Francisco California), pp

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source=pdf_text observed=2026-08-02T23:01:52.601210Z digest=sha256:f5fc24f024f75ff431720ba09644025054984c0748b913bd679ccd5b6c057aaa

Observation b45ee7fe-eb5c-407c-8bf6-2b726f4d04ca · outbound

This paper cites FuseSoC.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter FuseSoC

Reference 66

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source=pdf_text observed=2026-08-02T23:01:52.755334Z digest=sha256:b2c11188ba43da918ccd7ce3619dfb7bda90eee9e5ff6c811f6b06543705793d

Observation 3427dd42-ef54-48a9-925a-095b9ebd709b · outbound

This paper cites Invited Paper: A Scalable Approach to IPManagement with FuseSoC.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Invited Paper: A Scalable Approach to IPManagement with FuseSoC

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source=pdf_text observed=2026-08-02T23:01:52.837662Z digest=sha256:fde65242ad972b41c3115ea0087e018ceede76f2b8352974ce68b96f124b6d06

Observation f9b26eb2-f326-4b8b-9a1a-91cf6dc7a8c1 · outbound

This paper cites Vitis Unified Software Platform.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Vitis Unified Software Platform

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source=pdf_text observed=2026-08-02T23:01:52.911015Z digest=sha256:2328343a32f4e938662afea1f6717042b412dbbe897a45b83a8c2c71c28204f6

Observation 7e1a6e72-0e01-4b91-9408-196cdf9cfdba · outbound

This paper cites Vivado Design Suite.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Vivado Design Suite

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source=pdf_text observed=2026-08-02T23:01:52.988363Z digest=sha256:70159146cd38273e93da792f2b597a6730a443e6b7843f95ca203f018a3b589e

Observation bacbbba2-0715-4369-9b51-baac19519649 · outbound

This paper cites ModelSim HDL simulator.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter ModelSim HDL simulator

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source=pdf_text observed=2026-08-02T23:01:53.058524Z digest=sha256:c0b3c97edaa54a5209357d4ce92dbcf56cd7c770d307e104f607d6753fb0d782

Observation 3b8defd6-4d5d-49b9-9e4b-ba4e7110be12 · outbound

This paper cites cocotb: Python-based chip (RTL) verification.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter cocotb: Python-based chip (RTL) verification

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source=pdf_text observed=2026-08-02T23:01:53.165147Z digest=sha256:6b72cba8cc37cfbb043f1b42475691c92263d3c610e13c388466275b0ae2ef27

Observation 668a9d4f-2fc1-4f56-994a-a9fa45d51652 · outbound

This paper cites cocotb-axi: Python-based chip (RTL) verification.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter cocotb-axi: Python-based chip (RTL) verification

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source=pdf_text observed=2026-08-02T23:01:53.244416Z digest=sha256:92ab59f9b71ee9c97c2d7ac18abe199793fedbe5b14ad7aef2a3af39eefe9a03

Observation 6c6b3714-ce73-496a-a05c-0b06961a7062 · outbound

This paper cites Measurement of the integrated luminosity of data samples collected during 2019-2022 by the Belle II experiment.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Measurement of the integrated luminosity of data samples collected during 2019-2022 by the Belle II experiment

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source=pdf_text observed=2026-08-02T23:01:53.298077Z digest=sha256:2bb17178bda0b0dc2ef2d2e18cfd78410c81ee6596e22464ef21fb85d699ba8d

Observation 0c7739cc-ef82-4f75-abf0-61d7cea58f9b · outbound

This paper cites Code for the GNN-ETM Training and Evaluation.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Code for the GNN-ETM Training and Evaluation

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source=pdf_text observed=2026-08-02T23:01:53.375769Z digest=sha256:ba748f25821c3d7c7f70ed9383d8cb9134df21305863263b341cd11d50693515

Observation 7f0469be-3795-4a16-9d9a-6ce129df44dc · outbound

This paper cites Code for the Quantized GravNet Implementation.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Code for the Quantized GravNet Implementation

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source=pdf_text observed=2026-08-02T23:01:53.459776Z digest=sha256:cb7933d29d7d929ec6e3cc05d25aecd2d6c4959e45d2e584c410b36e8bcd506b

Observation 5788011d-76ed-408e-844e-0a26f153e005 · outbound

This paper cites Custom QKeras Fork.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Custom QKeras Fork

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source=pdf_text observed=2026-08-02T23:01:53.534737Z digest=sha256:06667592a78a6ef99743a1762f60887ab66df3e0eccd11cb52dbc36c2bbb9649

Observation 1f8097c2-242c-40e5-b7e6-6fdcb91718c8 · outbound

This paper cites Code for the GNN-ETM Hardware Implementation.

Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter Code for the GNN-ETM Hardware Implementation

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source=pdf_text observed=2026-08-02T23:01:53.644268Z digest=sha256:3ef0135cd5a005e83842a3df032fac396c1a7834c2bca873a5b360f44f2940da

Pith citing papers

Observation 80b45c63-5b9a-48e2-bbe2-f725e00ecab2 · inbound

Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science cites this paper.

Reconfigurable Computing Challenge: Real-Time Graph Neural Networks for Online Event Selection in Big Science Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter

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arxiv_id, observed 2026-07-23T02:24:11.160541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T05:18:20.718483Z digest=sha256:e0dbc6879d82a75b4568486ed8503870653df0fbd6fdd9ad2152101ec72a92ef

Observation 0126d517-f795-424d-99fa-1bb47e6502a7 · inbound

RTL Fault Injection of a Deployed Graph Neural Network Trigger for Belle II cites this paper.

RTL Fault Injection of a Deployed Graph Neural Network Trigger for Belle II Real-time graph neural networks on FPGAs for the Belle II electromagnetic calorimeter

Reference 3

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source=pdf_text observed=2026-08-02T08:57:41.380624Z digest=sha256:2f578e0b8b7c6f510a2080664d72fad301501ab94a7ce9b34d3fa304396740d2