Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T14:43:01.955484Z
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2508.20991.
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 2026-08-05T14:43:01.955484Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
57 of 57 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 07801ec9-7838-4f34-aa4a-dedb65854314 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts The ALICE Zero Degree Calorimeters
Reference 1
Source-reported events for the cited work
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Observation 6f866b7a-a838-4dd9-9ef3-8143b533888b · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts PonderNet: Learning to Pon- der
Reference 2
Source-reported events for the cited work
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Observation 9ec704fb-e174-40b5-a9fc-5f0be8c91b06 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN
Reference 3
Source-reported events for the cited work
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Observation ba3a03e1-1f0c-49f6-ae1b-23a11023b3cb · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
Reference 4
Source-reported events for the cited work
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Observation f8e22c74-d045-46ff-a2e7-f82efa1cda38 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Worldwide LHC Computing Grid Resources Report
Reference 5
Source-reported events for the cited work
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Observation 57fe2ce6-b2e4-4f76-8230-79acc33073d7 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Mod-Squad: Designing Mixtures of Experts As Mod- ular Multi-Task Learners
Reference 6
Source-reported events for the cited work
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Observation 925d74d3-b9ff-4277-be2a-f8832fd9dd26 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Unified scaling laws for routed language models
Reference 7
Source-reported events for the cited work
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Observation 662f8501-209d-43ca-b85c-d6e2313cae36 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts CaloMan: Fast generation of calorimeter showers with density estimation on learned manifolds
Reference 8
Source-reported events for the cited work
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Observation 764c4fcd-3d5f-4b9d-8696-6475b52b4d2e · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models
Reference 9
Source-reported events for the cited work
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Observation cfb9872f-6a34-4cad-a63a-93f4eae25e72 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Mobile V-MoEs: Scaling Down Vision Transformers via Sparse Mixture-of-Experts
Reference 10
Source-reported events for the cited work
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Observation bc6e1fb4-5a11-4ff0-b5e0-a2bafb0ad4e8 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Universal Transformers
Reference 11
Source-reported events for the cited work
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Observation e1be136f-02f7-499b-8fb9-d470046f1c73 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts End-to-end Sinkhorn Autoencoder with Noise Generator
Reference 12
Source-reported events for the cited work
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Observation 2e8fd1bb-9ebe-4e13-8d38-129bba7576d3 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Generative models for fast cluster simulations in the TPC for the ALICE experiment
Reference 13
Source-reported events for the cited work
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Observation ba9ae54c-a747-4238-a8b6-c2ae9b7696a1 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts ALICE technical design report of the zero degree calorimeter (ZDC)
Reference 14
Source-reported events for the cited work
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Observation acf89482-4215-4988-b54e-0c02c9900854 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts DijetGAN: a generative-adversarial network ap- proach for the simulation of QCD dijet events at the LHC
Reference 15
Source-reported events for the cited work
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Observation e2727b4c-3ee2-4ef6-b987-fd1401f16272 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Glam: Efficient scaling of language models with mixture- of-experts
Reference 16
Source-reported events for the cited work
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Observation 2df43d93-9c04-4c5c-9d73-ec26730c44e9 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Machine Learning methods for simulating particle response in the Zero Degree Calorimeter at the ALICE experiment, CERN
Reference 17
Source-reported events for the cited work
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Observation a8f726e4-7183-481f-9f68-140e31aed3b5 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Selectively Increasing the Diversity of GAN- Generated Samples
Reference 18
Source-reported events for the cited work
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Observation 0740c6c0-9849-4d42-af7e-179254ef78c5 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Depth-Adaptive Transformer
Reference 19
Source-reported events for the cited work
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Observation fea0c89e-0833-4397-a60b-0e47d2132846 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network
Reference 20
Source-reported events for the cited work
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Observation 1a374c28-bd03-4a0f-b26f-cd5aa8d2c8f9 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity
Reference 21
Source-reported events for the cited work
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Observation d2870b43-6ae3-4f18-a75b-ee7285224f44 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Spatially adaptive computation time for residual networks
Reference 22
Source-reported events for the cited work
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Observation 398a64de-03b4-4727-bfa2-3c0d4d3decf4 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Generative Adversarial Nets
Reference 23
Source-reported events for the cited work
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Observation c349f621-aec4-4447-8250-c7474c3afc0e · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Adaptive Computation Time for Recurrent Neural Networks
Reference 24
Source-reported events for the cited work
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Observation 7a1a0758-d194-41fd-83e8-7611b756c0c0 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts DEMix Layers: Disentangling Domains for Modular Language Modeling
Reference 25
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ee2efed5-8b88-49e8-9497-a5a23add0c81 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Channel selection us- ing gumbel softmax
Reference 26
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 798163c7-b2dd-4688-a6f6-fe72f7c66562 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Distilling the Knowledge in a Neural Network
Reference 27
Source-reported events for the cited work
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Observation 56eb7669-303b-4671-933e-c6cff0359da7 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Learning to simulate high energy particle colli- sions from unlabeled data
Reference 28
Source-reported events for the cited work
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Observation b528a7df-80d4-4159-aa60-0a9810ad6199 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Three Dimensional Energy Parametrized Generative Adversarial Networks for Electro- magnetic Shower Simulation
Reference 29
Source-reported events for the cited work
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Observation e6f70581-a27c-45e8-b9b3-c4fb115f63b5 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Auto-Encoding Variational Bayes
Reference 30
Source-reported events for the cited work
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Observation 3e6eadd2-a80a-41c7-b06e-b5fdc9937c36 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Generative Diffusion Models for Fast Simulations of Particle Collisions at CERN
Reference 31
Source-reported events for the cited work
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Observation 970bd6f9-b60e-4fb7-a656-c1b6e174415f · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Improving Expert Specialization in Mixture of Experts
Reference 32
Source-reported events for the cited work
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Observation 94fe4d05-0a57-41c6-80bd-c7bcb740922a · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding
Reference 33
Source-reported events for the cited work
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Observation 82d3886f-69c3-409f-b147-668b6aca19b0 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Pruning and quantization for deep neural network ac- celeration: A survey
Reference 34
Source-reported events for the cited work
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Observation 560255a9-03b0-44bc-bf3f-a0f0f6858438 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Runtime Neural Pruning
Reference 35
Source-reported events for the cited work
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Observation b834a1fb-3184-4a07-9fbf-20d7a251d74d · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Learning instance-wise sparsity for accelerating deep models
Reference 36
Source-reported events for the cited work
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Observation 49fa2553-c5f9-4690-ab90-93bb33447564 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Split computing and early exiting for deep learning applications: Survey and research chal- lenges
Reference 37
Source-reported events for the cited work
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Observation 3ccc9126-c31e-4147-9308-8ef32a0b2326 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts EvoMoE: An Evolutional Mixture-of-Experts Training Framework via Dense-To-Sparse Gate
Reference 38
Source-reported events for the cited work
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Observation 8ce2d05a-5702-4fd4-863c-b67a332f9a4e · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts CaloGAN: Simulat- ing 3D high energy particle showers in multilayer electromagnetic calorimeters
Reference 39
Source-reported events for the cited work
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Observation 620e71b0-47a7-4d80-8ef9-da50af4b8094 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts MEGAN: Mixture of Experts of Generative Adversarial Networks for Multimodal Image Generation
Reference 40
Source-reported events for the cited work
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Observation ee91e5ff-dabc-4130-bf5a-4acfdef764a8 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Scaling vision with sparse mixture of experts
Reference 41
Source-reported events for the cited work
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Observation 16b1ed53-dbc7-45fb-8e41-ace5f22cbc2f · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Particle physics DL-simulation with control over generated data properties
Reference 42
Source-reported events for the cited work
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Observation 3d268104-8721-42b9-98fc-9b0a6b42cce6 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Hash layers for large sparse models
Reference 43
Source-reported events for the cited work
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Observation 3e234551-d324-4db3-8386-d27f803cccf0 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Why should we add early exits to neural net- works?
Reference 44
Source-reported events for the cited work
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Observation 1c15d071-c1d0-472e-b590-a619e2c4f2b0 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation aa975a16-f886-4829-9698-e7c44f5caf29 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Variational Mixture-of-Experts Autoencoders for Multi- Modal Deep Generative Models
Reference 46
Source-reported events for the cited work
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Observation 420178aa-118c-4e2d-aca5-5b16ddbe2b3f · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Efficientnet: Rethinking model scaling for con- volutional neural networks
Reference 47
Source-reported events for the cited work
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Observation a258ed71-8c08-4eaa-8545-e710374bbb11 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Tolstikhin et al
Reference 48
Source-reported events for the cited work
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Observation 5ffe3d67-6606-4d66-94a4-38df30b79ec7 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Dynamic convolutions: Exploiting spa- tial sparsity for faster inference
Reference 49
Source-reported events for the cited work
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Observation 309fde67-2985-4a03-ac5c-845a8dfb71a4 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Skipnet: Learning dynamic routing in convolutional networks
Reference 50
Source-reported events for the cited work
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Observation 6b6f953e-6120-4213-b496-68254f077f91 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Zero time waste in pre-trained early exit neural net- works
Reference 51
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 01a581ed-1dbe-4e80-99d2-0d7fddf7e451 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Applying generative neural networks for fast simulations of the ALICE (CERN) experiment
Reference 52
Source-reported events for the cited work
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Observation 420fd8b3-536c-45e8-8100-020cfb1c4dcf · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Unresolved cited work
Reference 53
Source-reported events for the cited work
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Observation 6f00af5a-f3ef-4e31-b7d2-43abdf64e89b · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Fast simulation of the Zero Degree Calorimeter responses with generative neural networks
Reference 54
Source-reported events for the cited work
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Observation d41400b5-d4bf-419b-b8d9-57f656a05da0 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts MoEfication: Transformer Feed-forward Layers are Mixtures of Experts
Reference 55
Source-reported events for the cited work
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Observation 9113bd34-7f85-4dba-b9a2-c605b82c1a63 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts Mixture-of-experts with expert choice routing
Reference 56
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 02022475-d46e-430b-ad4e-624ad3c08f62 · outbound
ExpertSim: Fast Particle Detector Simulation Using Mixture-of-Generative-Experts MoEBERT: from BERT to Mixture-of-Experts via Importance-Guided Adaptation
Reference 57
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
No inbound Pith citation observations are available.