Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-12T19:30:55.726068Z
Paper Citation Record · LEDGER
As of 6 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 2 inbound Pith citation observations for arXiv:2604.15919.
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 2026-07-12T19:30:55.726068Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T01:49:51.435769Z
A source-named dated measurement, never combined with another source.
Source: cited_works
51 of 51 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 8b875043-f489-49b8-853b-c38fb78b5143 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Software in Science Is Ubiquitous yet Overlooked
Reference 1
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Impact of non-pharmaceutical interventions (NPIs) to reduce COVID-19 mortality and healthcare demand. Imperial College COVID- 19 Response Team
Reference 2
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies MODELLING THE PANDEMIC The simulations driving the world’s response to COVID- 19
Reference 3
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Lee et al
Reference 4
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies The research software engineer
Reference 5
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Unresolved cited work
Reference 7
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Continuous Integration, Delivery and Deployment: A System- atic Review on Approaches, Tools, Challenges and Practices
Reference 8
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies More Is Different
Reference 9
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Con- nectivity and Correlations
Reference 10
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies A Modular Workflow for Perfor- mance Benchmarking of Neuronal Network Simu- lations
Reference 11
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies NEST (NEural Simulation Tool)
Reference 12
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Metadata practices for simula- tion workflows
Reference 13
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Observation ee218b21-9e95-4dba-9d00-a81fc7f31723 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies “You Don’t Meet Anybody When Walking from the Living Room to the Kitchen
Reference 14
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Observation 51d3b7a0-3135-4cb3-80a4-ed168aa78904 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Leveraging DevOps for Scientific Computing
Reference 15
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Observation 6733102b-1077-4e25-9fab-787b436a06f7 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies GOVERNING BOARD OF THE EuroHPC JOINT UNDERTAKING No 11/2024 Amending the Joint Undertaking’s Work Programme and Budget for the year 2024 (Amendment no 1)
Reference 16
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Observation aeba1a7e-026a-44e1-8795-a632d0bbbf36 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Towards continuous benchmarking: An automated performance evaluation framework for high performance software
Reference 17
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Observation df141eb9-1f8c-4fa1-9592-8edebfefa1f6 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Towards Collaborative Continu- ous Benchmarking for HPC
Reference 18
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Observation 028388a8-f5ab-419e-bdc7-9816b5287b2f · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Badwaik et al
Reference 19
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Observation fe683a66-b770-439b-9952-b640bf24a8a5 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Terhorst et al
Reference 20
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Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies The impact of continuous inte- gration on other software development practices: a large-scale empirical study
Reference 21
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Observation e584cb99-d02d-4931-ab93-4b490d7f1893 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Hayot-Sasson et al
Reference 22
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Observation db8e7119-9676-45f7-ad51-b7230e99f9c0 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies JUSUF: Modular Tier-2 Su- percomputing and Cloud Infrastructure at J¨ ulich Supercomputing Centre
Reference 23
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Observation 11c67634-d56d-4573-921b-1f0f49f4932a · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies JURECA: Data Centric and Booster Modules implementing the Modular Supercomputing Architecture at J¨ ulich Supercomputing Centre
Reference 24
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Observation 8614df77-4b21-40b7-b9e4-2716e66bf766 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies JUWELS: Modular Tier-0/1 Super- computer at J¨ ulich Supercomputing Centre
Reference 25
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Observation 565e0f77-ca00-46bd-8f10-962334220fd7 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Application-Driven Exascale: The JUPITER Benchmark Suite
Reference 26
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Observation 14c854a9-1ead-4cad-bd16-e1b7d0ce2b95 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Extremely Scalable Spiking Neu- ronal Network Simulation Code: From Laptops to Exascale Computers
Reference 27
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Observation 48e34655-4bac-4b1b-a2d3-0228bf740116 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Spiking network simulation code for petascale computers
Reference 28
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Observation 711914e0-4e95-4270-8c27-7bd83687c2a0 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies The Cell-Type Specific Cortical Microcircuit: Relating Structure and Activity in a Full-Scale Spiking Network Model
Reference 29
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Observation c04f70b8-9932-477a-b840-3e597464669f · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas
Reference 30
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Observation 18ff88dc-37b0-48f2-83e2-0fd6713cd9b1 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Haug et al
Reference 31
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Observation a209ba6d-f9a7-471d-960c-9c196f3a2831 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Graber et al
Reference 32
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Observation 990144c1-b100-43c8-b988-250e115d3b9d · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex
Reference 33
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Observation 6eafcf00-3049-499e-b1fc-6b4fdca2c0c8 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring
Reference 34
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Observation 497a8447-3bfb-4f8e-afd8-3bebf910d99e · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers
Reference 35
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Observation 494112e4-ea55-46a5-9d4f-9f51baaf2c2c · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Sub-realtime simulation of a neu- ronal network of natural density
Reference 36
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Observation e2c1d0b5-57ce-465c-bb24-a47556645fc0 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Unresolved cited work
Reference 37
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Observation 2ac805d1-4580-4a87-b1bd-6c3d3284e7ed · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Synaptic Modifications in Cultured Hippocampal Neurons: Dependence on Spike Timing, Synaptic Strength, and Postsynap- tic Cell Type
Reference 38
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Observation 2c86696c-243d-4b11-9938-64925aad1b06 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Precise spike timing with exact subthreshold integration in discrete time network simulations
Reference 39
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Observation 61c714ff-cf85-47d2-aac6-fde090c5a569 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Spike- Timing Dependent Plasticity in Balanced Ran- dom Networks
Reference 40
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Observation 8f50994b-852d-45f0-8c56-86fa6e814fe5 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies The role of metadata in repro- ducible computational research
Reference 41
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Observation 9a20d349-0a87-4cf2-9eae-c897dcdcb230 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Editorial: Neuroscience, com- puting, performance, and benchmarks: Why it mat- ters to neuroscience how fast we can compute
Reference 42
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Observation a7c91de2-3577-49cf-af46-778fb53606ab · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Pronold et al
Reference 43
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Observation 310f5606-a558-4bc9-a557-3f09c74690ed · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Phe- nomenological models of synaptic plasticity based on spike-timing
Reference 44
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Observation 7eeabfd7-c4f3-4b96-b16b-bfe44caf8868 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies A Fast, Compact Approxima- tion of the Exponential Function
Reference 45
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Observation 52c25c6e-ff1e-4d52-9c4b-352f6a9ad57f · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies On a Fast, Compact Approximation of the Exponential Function
Reference 46
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Observation aa5c7c76-94e1-40af-98fe-3c84219daced · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Fast exponential compu- tation on simd architectures
Reference 47
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Observation acaf350f-d8de-4a07-8cc3-3c1b06afe60a · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Accelerating Event-Driven Sim- ulation of Spiking Neurons with Multiple Synaptic Time Constants
Reference 48
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Observation 611ac076-be8c-424b-907f-c29a691b34e2 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies A fixed point exponential func- tion accelerator for a neuromorphic many-core sys- tem
Reference 49
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Observation 9214cdfc-d2ca-459e-9c11-1da02d9a7e5d · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neu- ral Network Simulations
Reference 50
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Observation 240bbd23-7d6f-419a-af0e-3699fc887a73 · outbound
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies A general and efficient method for incorporating precise spike times in globally time-driven simulations
Reference 51
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Observation 2e2c2724-f501-4afc-a637-b3d3a0c59779 · inbound
NUMA balancing hampering performance of spiking network simulations Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies
Reference 27
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Observation 991cd54c-febf-4144-a8dd-dc7b7c123eef · inbound
NUMA balancing hampering performance of spiking network simulations Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies
Reference 27
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