Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:55:01.585054Z
Paper Citation Record · LEDGER
As of 23 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 4 inbound Pith citation observations for arXiv:2506.14578.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T19:55:01.585054Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T00:35:35.884097Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T10:39:45.863456Z
65 of 65 outbound references displayed
External citation measurements
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Observation a33f878b-5e71-47c1-97d2-c1d65f55c294 · outbound
Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb ALICE Central Trigger System for LHC Run 3
Reference 4
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Unresolved cited work
Reference 12
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Unresolved cited work
Reference 13
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Grid,The Worldwide LHC Computing Grid,https://cds.cern.ch/record/1997398 (2012)
Reference 14
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb The ATLAS Trigger System for LHC Run 3 and Trigger performance in 2022
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Network,Review of triggers in lhc experiments: Review of the state of the art of the triggers of lhc collaborations and best practices,
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Smith,Triggering at the LHC,Annual Review of Nuclear and Particle Science66 (2016) 123
Reference 22
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Denby,Neural networks and cellular automata in experimental high energy physics, Computer Physics Communications49(1988) 429
Reference 23
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb L¨ onnblad, C
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Umuroglu, N.J
Reference 29
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Unresolved cited work
Reference 30
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb 10.5281/zenodo.1201549
Reference 31
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices
Reference 32
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb A White Paper on Neural Network Quantization
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Distilling the Knowledge in a Neural Network
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Aarrestad, V
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Pappalardo,Xilinx/brevitas, 2023
Reference 44
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Unresolved cited work
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Caffe: Convolutional Architecture for Fast Feature Embedding
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb PyTorch: An Imperative Style, High-Performance Deep Learning Library
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Pedregosa, G
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Reference 49
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb TMVA - Toolkit for Multivariate Data Analysis
Reference 50
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Interpretable Machine Learning in Physics: A Review
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Komiske, E.M
Reference 69
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Unresolved cited work
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Brinkerhoff, C
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Unresolved cited work
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Le Borgne, W
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Feillet and M
Reference 92
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Review of Machine Learning for Real-Time Analysis at the Large Hadron Collider experiments ALICE, ATLAS, CMS and LHCb Ghielmetti, V
Reference 93
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Reference 219
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