Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T23:46:15.626402Z
Paper Citation Record · LEDGER
As of 8 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2608.05777.
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 2026-08-07T23:46:15.626402Z
One-hop event checks from named stored sources.
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Pith citing papers itemized under the disclosed page cap.
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A source-named dated measurement, never combined with another source.
Source: cited_works
67 of 67 outbound references displayed
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Low- dimensional neural ODEs and their application in pharmacokinetics.Journal of Pharma- cokinetics and Pharmacodynamics, 51(2):123–140, April 2024
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations NeuralFMU: Presenting a Workflow for Integrating Hybrid NeuralODEs into Real-World Applications.Electronics, 11(19):3202, January 2022
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Homotopy-based training of NeuralODEs for accurate dynamics discovery.Advances in Neural Information Processing Systems, 36:64725–64752, December 2023
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Ode to an ODE
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations LyaNet: A Lyapunov Framework for Training Neural ODEs
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Non- Negative Universal Differential Equations With Applications in Systems Biology.IFAC- PapersOnLine, 58(23):25–30, January 2024
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations FxTS-Net: Fixed-time stable learning framework for Neural ODEs.Neural Networks, 185:107219, May 2025
Reference 22
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Multiple Shooting for Training Neural Differential Equations on Time Series.IEEE Control Systems Letters, 6:1897–1902, 2022
Reference 24
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations DiffEqFlux.jl - A Julia Library for Neural Differential Equations, February 2019
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Benchmark problems for dynamic modeling of intracellular processes.Bioinformatics, 35(17):3073–3082, September 2019
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Reference 29
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Prediction error estimation methods.Circuits, Systems and Signal Processing, 21(1):11–21, January 2002
Reference 31
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work
Reference 32
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Observation 29ac8209-3e60-441b-9aa5-ec73a048a7b6 · outbound
Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Augmenting physical models with deep networks for complex dynamics forecasting*.Journal of Statistical Mechanics: Theory and Experiment, 2021(12): 124012, December 2021
Reference 33
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Observation c177f020-d0ea-4d32-9f86-e2ea2c87eaea · outbound
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Stiff neural ordinary differential equations.Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (9), September 2021
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Differentiable Programming for Differential Equations: A Review, October 2025
Reference 39
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling
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Reference 41
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Reference 42
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Observation 6f5d6768-e17a-4430-a54c-596bea0a12ae · outbound
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Observation e2d12d23-8183-4aee-a11a-9bd6b956b4e2 · outbound
Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Curriculum Learning: A Survey.International Journal of Computer Vision, 130(6):1526–1565, June 2022
Reference 44
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Ribeiro, Koen Tiels, Jack Umenberger, Thomas B
Reference 45
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Bergmann, Tacio Camba, Erika Dudkin, Janine Egert, Fabian Fröhlich, Lara Fuhrmann, Adrian L
Reference 47
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations PEtab.jl: advancing the efficiency and utility of dynamic modelling.Bioinformatics, 41(9):btaf497, September 2025
Reference 48
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Reference 49
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Observation 1a2ef600-02f9-43dc-8e28-fa979d4d3767 · outbound
Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Distilling Free-Form Natural Laws from Experimental Data
Reference 50
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations A Simple Sequentially Rejective Multiple Test Procedure.Scandinavian Journal of Statistics, 6(2):65–70, 1979
Reference 51
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Reference 52
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Challenges in Training PINNs: A Loss Landscape Perspective
Reference 53
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Reference 54
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work
Reference 55
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations On the difficulty of training recurrent neural networks
Reference 57
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Visualizing the Loss Landscape of Neural Nets
Reference 58
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Biologically informed NeuralODEs for genome-wide regulatory dynamics.Genome Biology, 25(1):127, May 2024
Reference 59
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work
Reference 60
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Gutenkunst, Joshua J
Reference 62
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Reference 63
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Construction of Rosenbrock–Wanner method Rodas5P and numerical bench- marks within the Julia Differential Equations package.BIT Numerical Mathematics, 63(2):27, April 2023
Reference 64
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Understanding the difficulty of training deep feedforward neural networks
Reference 65
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Observation 437735c8-1f5b-45fb-a56c-2d2154e5e76f · outbound
Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Adam: A Method for Stochastic Optimization
Reference 2017
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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations doi: 10.1038/s42003-026-09758-w
Reference 2026
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No inbound Pith citation observations are available.