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Paper Citation Record · LEDGER

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations

As of 21 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2608.05777.

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pith.paper-citation-record.v1
2608.05777 v2

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measured 67 of 67 reference resolution

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Reference resolution

67 of 67 outbound references displayed

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Outbound references

Observation 89b7605a-e007-44f1-962e-8d4a8f0f4bd1 · outbound

This paper cites an unresolved cited work.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 1

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Observation 6094ac9c-c519-434f-a259-f4b07b629372 · outbound

This paper cites Bessler, and Rainer Gasper.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Bessler, and Rainer Gasper

Reference 2

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This paper cites Androulakis, Peter Bonate, Limei Cheng, Tomáš Helikar, Jaimit Parikh, Christopher Rackauckas, Kalyanasundaram Subramanian, Carolyn R.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Androulakis, Peter Bonate, Limei Cheng, Tomáš Helikar, Jaimit Parikh, Christopher Rackauckas, Kalyanasundaram Subramanian, Carolyn R

Reference 3

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Observation 1493609c-c31f-453e-9d67-7b171a7c6b26 · outbound

This paper cites Levine, Dessi P.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Levine, Dessi P

Reference 4

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Observation e39fe618-1451-4df2-8285-00cb8433fb80 · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Universal Differential Equations for Scientific Machine Learning

Reference 5

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 6

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This paper cites Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Developing hybrid mechanistic and data-driven personalized prediction models for platelet dynamics

Reference 7

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 8

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Observation b85f925b-8ebc-4385-b94b-12577d4a39a6 · outbound

This paper cites Inte- grating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Inte- grating Expert ODEs into Neural ODEs: Pharmacology and Disease Progression

Reference 9

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This paper cites Neural-ODE for pharmacokinetics modeling and its advantage to alternative machine learning models in predicting new dosing regimens.iScience, 24(7):102804, July 2021.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Neural-ODE for pharmacokinetics modeling and its advantage to alternative machine learning models in predicting new dosing regimens.iScience, 24(7):102804, July 2021

Reference 10

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This paper cites Low- dimensional neural ODEs and their application in pharmacokinetics.Journal of Pharma- cokinetics and Pharmacodynamics, 51(2):123–140, April 2024.

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

Reference 11

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Observation b5be6dd6-f3c3-4eaf-90fd-7747b426ec78 · outbound

This paper cites A Machine Learning-Aided Global Diagnostic and Comparative Tool to Assess Effect of Quarantine Control in COVID-19 Spread.

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

Reference 12

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Observation 498ad4cf-63a0-4572-a6b5-0a199e9c5be9 · outbound

This paper cites Singer, Seyed M.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Singer, Seyed M

Reference 13

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This paper cites Nguyen, Alan Edelman, Erin C.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Nguyen, Alan Edelman, Erin C

Reference 14

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This paper cites NeuralFMU: Presenting a Workflow for Integrating Hybrid NeuralODEs into Real-World Applications.Electronics, 11(19):3202, January 2022.

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

Reference 15

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Observation 679d2533-9728-4c99-b665-7641bb3a83fb · outbound

This paper cites Homotopy-based training of NeuralODEs for accurate dynamics discovery.Advances in Neural Information Processing Systems, 36:64725–64752, December 2023.

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

Reference 16

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This paper cites Current state and open problems in universal differential equations for systems biology.npj Systems Biology and Applications, 11(1):101, August 2025.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Current state and open problems in universal differential equations for systems biology.npj Systems Biology and Applications, 11(1):101, August 2025

Reference 17

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Observation 3485571b-fe8e-4caf-a13c-89b831665df1 · outbound

This paper cites Ode to an ODE.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Ode to an ODE

Reference 18

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Observation c9df806b-7ba1-45ca-9735-62cec673ce12 · outbound

This paper cites How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization

Reference 19

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations LyaNet: A Lyapunov Framework for Training Neural ODEs

Reference 20

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This paper cites Non- Negative Universal Differential Equations With Applications in Systems Biology.IFAC- PapersOnLine, 58(23):25–30, January 2024.

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

Reference 21

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This paper cites FxTS-Net: Fixed-time stable learning framework for Neural ODEs.Neural Networks, 185:107219, May 2025.

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 Unresolved cited work

Reference 23

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This paper cites Multiple Shooting for Training Neural Differential Equations on Time Series.IEEE Control Systems Letters, 6:1897–1902, 2022.

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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This paper cites DiffEqFlux.jl - A Julia Library for Neural Differential Equations, February 2019.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations DiffEqFlux.jl - A Julia Library for Neural Differential Equations, February 2019

Reference 25

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

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This paper cites Benchmark problems for dynamic modeling of intracellular processes.Bioinformatics, 35(17):3073–3082, September 2019.

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

Reference 27

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Augmented Neural ODEs

Reference 28

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Harms, Fabian J

Reference 29

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 30

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This paper cites Prediction error estimation methods.Circuits, Systems and Signal Processing, 21(1):11–21, January 2002.

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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This paper cites Augmenting physical models with deep networks for complex dynamics forecasting*.Journal of Statistical Mechanics: Theory and Experiment, 2021(12): 124012, December 2021.

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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This paper cites Sparsity in Continuous-Depth Neural Networks.Advances in Neural Information Processing Systems, 35:901–914, December 2022.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Sparsity in Continuous-Depth Neural Networks.Advances in Neural Information Processing Systems, 35:901–914, December 2022

Reference 34

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Hamiltonian Neural Networks

Reference 35

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Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows

Reference 36

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Observation bc803d7b-2870-4848-8542-8f50187ea8ee · outbound

This paper cites Stiff neural ordinary differential equations.Chaos: An Interdisciplinary Journal of Nonlinear Science, 31 (9), September 2021.

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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source=pdf_text observed=2026-08-10T04:30:16.581869Z digest=sha256:4e2336f2c3b35df3779987502a01c997de215731287309d65251604ccd28b240

Observation b9579766-c11f-4942-a0e1-5ec607bddc0d · outbound

This paper cites On Neural Differential Equations.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations On Neural Differential Equations

Reference 38

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source=pdf_text observed=2026-08-10T04:30:16.585842Z digest=sha256:79a0fbe63dacf57b164e17d9180863f5a139835a5ab7f347d9ec73bcdd5bdcb7

Observation b1405a99-575a-41d0-8155-df74e89ecbf7 · outbound

This paper cites Differentiable Programming for Differential Equations: A Review, October 2025.

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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source=pdf_text observed=2026-08-10T04:30:16.590129Z digest=sha256:4b5e3ad8a4e0befeddff06fbb9b1c9c8c0111f119bdc20da37b65135215df50e

Observation 2c29158a-1ade-4acf-a236-eae97db19f0a · outbound

This paper cites Stable Long-Horizon Neural ODE Reduced-Order Models via Learned Feedback for Biological Growth and Remodeling.

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

Reference 40

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source=pdf_text observed=2026-08-10T04:30:16.593965Z digest=sha256:dad4219e5ab706831fdddcc082cee678b94202f2af2d38160e721d3dce2a9bb7

Observation 98ae708c-c1f2-4a5d-96fd-5171a99f2b72 · outbound

This paper cites CRC Press, November 2001.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations CRC Press, November 2001

Reference 41

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source=pdf_text observed=2026-08-10T04:30:16.598716Z digest=sha256:7bbfab9d12cae302dfe2eb5021e135de5341a841002f88b6b4c9078ea1f640e8

Observation 3cd65044-6cde-4480-843e-e3fc4011bb22 · outbound

This paper cites Hernandez-Vargas.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Hernandez-Vargas

Reference 42

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raw_fallback, observed 2026-08-10T04:30:17.974251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T04:30:16.603101Z digest=sha256:10dba3deaf719500a7c8b46de19bf1b6dd9351e88b74dff2a9793da26075f98f

Observation b4d069f0-4792-4a33-a511-713e7bfd4191 · outbound

This paper cites Curriculum learning.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Curriculum learning

Reference 43

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source=pdf_text observed=2026-08-10T04:30:16.607323Z digest=sha256:ea37a9d2a39e185098c88fd63da8e161486d372ae319fa1956ece9c3b61fab05

Observation 02e00090-b241-42f7-97ae-b906688b87dc · outbound

This paper cites Curriculum Learning: A Survey.International Journal of Computer Vision, 130(6):1526–1565, June 2022.

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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source=pdf_text observed=2026-08-10T04:30:16.611901Z digest=sha256:fc7b40f5358f197b17817c4e3e0e5969141ab3141418dcc3c200a5a4fe848dc2

Observation 086c272d-2f9b-4992-95fa-a84ec88efb0f · outbound

This paper cites Ribeiro, Koen Tiels, Jack Umenberger, Thomas B.

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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metadata mismatch
raw_fallback, observed 2026-08-10T04:30:17.278282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T04:30:16.616511Z digest=sha256:bd745c3c62364efb0433917f078449f26914e79ecf76c7d009806dc02799a1e5

Observation 57183b47-00c8-42da-8d95-4a6077809b8a · outbound

This paper cites Differentiable Multiple Shooting Layers.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Differentiable Multiple Shooting Layers

Reference 46

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source=pdf_text observed=2026-08-10T04:30:16.621008Z digest=sha256:022996ff3bfc822007f813ef3a5d1598f6501f199f9323503d19351b0cebccd8

Observation 1d570719-e560-4c66-a334-62be077ba817 · outbound

This paper cites Bergmann, Tacio Camba, Erika Dudkin, Janine Egert, Fabian Fröhlich, Lara Fuhrmann, Adrian L.

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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source=pdf_text observed=2026-08-10T04:30:16.625357Z digest=sha256:e08cfceb263e150e75c99fac4dd87b3c8a32cf39a43d3fa581dbd8c884228243

Observation d8fe422e-d36a-40b7-87fd-91ef33321d48 · outbound

This paper cites PEtab.jl: advancing the efficiency and utility of dynamic modelling.Bioinformatics, 41(9):btaf497, September 2025.

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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source=pdf_text observed=2026-08-10T04:30:16.629535Z digest=sha256:de4c284b9d3f906a5a95a1778cf2e2afcc9367bd46b4122cfe0cdda8101d8df7

Observation 8bfaad87-ce8c-4086-844a-964f259f24ce · outbound

This paper cites an unresolved cited work.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 49

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source=pdf_text observed=2026-08-10T04:30:16.634647Z digest=sha256:99d7ad749e50e097b831d5a96c1df053677ccadcdfe626c0bce7b8e20c3865b3

Observation 74087cdf-0891-46ab-871c-0a8d88e9a3a4 · outbound

This paper cites Distilling Free-Form Natural Laws from Experimental Data.

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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source=pdf_text observed=2026-08-10T04:30:16.639502Z digest=sha256:9c1d9651383a0fed3b397b5ece974e96f7c917622c3224927185a6f715be5edc

Observation 03abe87b-f5e0-4d59-a6b7-c4f878d992f9 · outbound

This paper cites A Simple Sequentially Rejective Multiple Test Procedure.Scandinavian Journal of Statistics, 6(2):65–70, 1979.

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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source=pdf_text observed=2026-08-10T04:30:16.644367Z digest=sha256:6b22d0f142385e6951f00a341ddd7560e5d137b6442bec374ebcc04560279612

Observation a93a812e-68c9-43db-b1b3-3a8c9eed998c · outbound

This paper cites Kingma and Jimmy Ba.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Kingma and Jimmy Ba

Reference 52

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source=pdf_text observed=2026-08-10T04:30:16.648923Z digest=sha256:46964125345a758ec8c7f76f9964a9d6347d5a86a263a426b7045471f2daf1b4

Observation efef89e5-c61b-4152-a234-6712501f7f6d · outbound

This paper cites Challenges in Training PINNs: A Loss Landscape Perspective.

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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source=pdf_text observed=2026-08-10T04:30:16.658173Z digest=sha256:2afc97bfb3a1229245f22dfb8735937a0d196c0b4d441090be1954615c279dce

Observation 225487ea-0e57-4166-b691-05e1c7b4c997 · outbound

This paper cites an unresolved cited work.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 54

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Observation c6b33aaa-91a6-424f-b637-e556f28211bb · outbound

This paper cites an unresolved cited work.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 55

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Observation c2930f8d-f3b8-47fa-ad7e-1bcf5f50cd9d · outbound

This paper cites Dissect- ing Neural ODEs.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Dissect- ing Neural ODEs

Reference 56

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Observation 95fa5625-f708-419d-8781-7246a630a80b · outbound

This paper cites On the difficulty of training recurrent neural networks.

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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raw_fallback, observed 2026-08-10T04:30:17.902438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T04:30:16.677109Z digest=sha256:18adcaae012f76f5417b03db2b79cf33962616885dd5759aa3502c3cf76a724f

Observation d3e512e8-aad7-4a4a-9051-fbf07498aafd · outbound

This paper cites Visualizing the Loss Landscape of Neural Nets.

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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source=pdf_text observed=2026-08-10T04:30:16.682663Z digest=sha256:7cab2653fa2f66772cf43b39a10cda0df553ee3087c38c5f9a1909c09273b9db

Observation 11521b3e-1e76-4ace-843c-8c0e865adeee · outbound

This paper cites Biologically informed NeuralODEs for genome-wide regulatory dynamics.Genome Biology, 25(1):127, May 2024.

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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Observation a47991dc-f9a5-4e91-ba4d-48a4ec4e2c77 · outbound

This paper cites an unresolved cited work.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Unresolved cited work

Reference 60

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source=pdf_text observed=2026-08-10T04:30:16.691941Z digest=sha256:ef3b014959c9946d512e29f332c8ce82ac4489208ab18d291df834066ac626dc

Observation 3e08dcb3-8d81-48ec-952d-fa747d57d262 · outbound

This paper cites Forward-Mode Automatic Differentiation in Julia.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Forward-Mode Automatic Differentiation in Julia

Reference 61

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source=pdf_text observed=2026-08-10T04:30:16.701013Z digest=sha256:6c9c8f15e1e4fb9d16848f30b902dd3b4486755c99c1d121bb9148345deba6d8

Observation 86d40dfb-50b5-4f7c-8b95-a676e43a07fb · outbound

This paper cites Gutenkunst, Joshua J.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Gutenkunst, Joshua J

Reference 62

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T04:30:16.705231Z digest=sha256:3b788e0fce5d48afb0629f2456e94f3f4ec7759da635f5edab0fcf2c050c4a5a

Observation 341fa8ea-5dae-4866-9113-61614f632622 · outbound

This paper cites Tsitouras.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Tsitouras

Reference 63

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source=pdf_text observed=2026-08-10T04:30:16.709301Z digest=sha256:778a5172c286f5e6d1066100c56ef81a657774c8574b64df3ba8b38bed0e8aa6

Observation 65e14629-9575-476c-bd48-181250713737 · outbound

This paper cites Construction of Rosenbrock–Wanner method Rodas5P and numerical bench- marks within the Julia Differential Equations package.BIT Numerical Mathematics, 63(2):27, April 2023.

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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source=pdf_text observed=2026-08-10T04:30:16.713389Z digest=sha256:d5f479c247f43fc5db5cc6e94da9fbf062f479d82f5d2239e8e89035a74cecf0

Observation 10ad8938-eccb-4359-adc9-a172985bc8da · outbound

This paper cites Understanding the difficulty of training deep feedforward neural networks.

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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malformed identifier
raw_fallback, observed 2026-08-10T04:30:17.089675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-10T04:30:16.717375Z digest=sha256:adbb169641a9ba62bc9f1beec98495c22703bb454b004e87e124559504143bdc

Observation 5507888f-123d-44a7-a848-3ec7bee75adc · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Curriculum Multiple Shooting for Robust Training of Neural and Universal Differential Equations Adam: A Method for Stochastic Optimization

Reference 2017

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-10T04:30:16.653567Z digest=sha256:137a4119ad243defd5e9435addefc179ffd89bd77fbdf48f1b51c8e35b9d63fb

Observation 5a2daf91-476f-4e96-ad5a-a5e9120b5793 · outbound

This paper cites doi: 10.1038/s42003-026-09758-w.

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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source=pdf_text observed=2026-08-10T04:30:16.696432Z digest=sha256:360112a4802772e897e085ece218418c7f4f0495dfc8ea335f3b027a0a6f3aec

Pith citing papers

No inbound Pith citation observations are available.