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Paper Citation Record · LEDGER

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

As of 9 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.

pith.paper-citation-record.v1
2608.05777 v1

Coverage vector

measured 67 of 67 reference resolution

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

67 of 67 outbound references displayed

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External citation measurements

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Outbound references

Observation 0879d73b-a6e6-4dd6-bbd1-eaf329abea5f · 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 4bec9536-cb99-423c-8bce-870bc96871e3 · 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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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 a4e08a51-0c4e-4c89-9801-ee404de2cf62 · 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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Observation e31d3be8-ad9a-4fbc-bd6d-04de3e325f51 · outbound

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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This paper cites an unresolved cited work.

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

Reference 8

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Observation d7e4b347-c1d3-4f02-a4de-35e8155a5b1b · 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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Observation 843dc441-b289-493c-8802-94605581b493 · outbound

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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Observation 412f8088-9147-42f8-ae82-5f9a6c8d8d03 · outbound

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 2e2bd17c-72e6-4c82-a038-a83ae469d9ee · 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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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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Observation 024f5946-356a-457f-831d-03ef8af23f05 · outbound

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 b8f2e0d5-5c41-4fbb-bf89-b14a4e62bb5c · 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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Observation db869a2a-0c92-4a00-8d8c-39fafa3bab9b · outbound

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 83caafab-1479-4e46-b32d-d8a9074f6bbf · 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 e93f0c55-920e-4f08-a61b-cc019de25fc3 · 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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Observation 4cf367e9-d56b-4fe7-8181-3ea91d52fbf0 · outbound

This paper cites LyaNet: A Lyapunov Framework for Training Neural ODEs.

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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Observation e67a0aaa-e9a6-4500-9daa-dbc50f3c3e9c · outbound

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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Observation 095f830f-32e5-4b78-8c42-1af03510661b · outbound

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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Observation befe0c60-b939-4e03-9372-2bf207ee08e3 · outbound

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

Reference 26

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Observation ff66e582-7324-47ee-9d6c-81699f4ca3b4 · outbound

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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Observation 5ae0ed4e-73a6-4ff1-9711-371d89d51094 · outbound

This paper cites Augmented Neural ODEs.

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

Reference 28

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Observation 8dff8d05-2c7b-4e3d-bae2-d90984b6dadb · outbound

This paper cites Harms, Fabian J.

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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Observation 994ff4a7-910d-48c5-bd02-0470c3cd9384 · outbound

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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Observation 2bf533c6-5111-43fe-a970-b54769aeab27 · outbound

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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 29ac8209-3e60-441b-9aa5-ec73a048a7b6 · outbound

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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Observation e6bb257d-13ea-4a7e-b084-5f8d1de2dcb6 · outbound

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.495590Z digest=sha256:b7a887174e5e27bffc723edf93bd1fd1a0376ef866fdb69dc631586df37fba30

Observation 81b338f8-7ac5-4fdc-9206-d8c316c4dd35 · outbound

This paper cites Hamiltonian Neural Networks.

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

Reference 35

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raw_fallback, observed 2026-08-07T23:46:17.985688Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.499489Z digest=sha256:95bc2290e05bd335fe802bbc2335b0e1a0252df28beaee268a03f04cec653bb9

Observation c177f020-d0ea-4d32-9f86-e2ea2c87eaea · outbound

This paper cites Discretize-Optimize vs. Optimize-Discretize for Time-Series Regression and Continuous Normalizing Flows.

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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no resolver link, observed 2026-08-07T23:46:15.503522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.503522Z digest=sha256:0e15295d01639d5a5634c4666e5885d027d9756d2d48c7c91c8542acb9a0483a

Observation 7264f889-3827-448d-8903-3d4d19978fca · 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

Reference 37

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doi, observed 2026-08-07T23:46:15.751927Z

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source=pdf_text observed=2026-08-07T23:46:15.507819Z digest=sha256:c886f214a6138a0522b1b5ef0a700cd8c31c1dc2d38a166d3622b06fba619795

Observation b54cb0b7-3386-48f3-8ec4-a760f9fdfa3a · 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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no resolver link, observed 2026-08-07T23:46:15.511875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.511875Z digest=sha256:91486e4121b1d5bd284833cbc195cdffe1eb574d8657c4c4b10036d300ebc042

Observation 79e6dc21-4f31-4bd3-b620-86d76cb090d6 · 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

Resolution
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no resolver link, observed 2026-08-07T23:46:15.517253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.517253Z digest=sha256:5d501d407ed5b72f470d4c8ab3602c2242efa4bfbc5bc74506e123deee0b6b95

Observation 87d446e2-f73a-49c8-b7ad-d49bf29fc2d5 · 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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verified exact
local_arxiv, observed 2026-08-07T23:46:16.625971Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.521151Z digest=sha256:20aeac49621cee8225f411ceb2762fbc89d437006b7bfeb947dfc6f1fc0e0217

Observation 4671ff87-e13d-40ae-af37-5624d9bb7b7f · 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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verified fuzzy
raw_fallback, observed 2026-08-07T23:46:17.973368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.525527Z digest=sha256:cf27683635fb3fa7d58c90bcf5679772fa15033ffeabc35573ae042e5d9e7ac6

Observation 605b585e-501f-4709-8f2e-110be05adc67 · outbound

This paper cites Hernandez-Vargas.

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

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:46:17.960768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.529405Z digest=sha256:785485137131ab7a3679bbc6559d51cf9dd2dfa2699c429938d2911cffac6dcd

Observation 6f5d6768-e17a-4430-a54c-596bea0a12ae · 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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arxiv_id_nonexistent, observed 2026-08-07T23:46:16.608779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.533423Z digest=sha256:a132ac8c940b755007429c61fc4aa062beca20f8ae7f3811f7a47f00130f6e4b

Observation e2d12d23-8183-4aee-a11a-9bd6b956b4e2 · 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

Resolution
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no resolver link, observed 2026-08-07T23:46:15.537568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.537568Z digest=sha256:dd454fbc21bbe5d5b4ab54f196fa8763b839078cd7fa30d5a17a2aaaae791349

Observation bc344ede-059c-4738-bf21-83ef4430ec5e · 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

Resolution
verified exact
arxiv_id_nonexistent, observed 2026-08-07T23:46:16.462515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.541722Z digest=sha256:4d41f79f22d4bd999e060732089105646ab2a1cf9d4351e031424848a7b25043

Observation 0b2ceb53-311d-4121-8160-aa511ab80cb5 · 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

Resolution
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raw_fallback, observed 2026-08-07T23:46:17.947814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.545245Z digest=sha256:b271be274b718fad3b5042c527418e0ca7121b9f7a655caa599f1de0dd1f9af2

Observation 62e7dbe1-bca6-447d-9768-e2d587b2ae4b · 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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no resolver link, observed 2026-08-07T23:46:15.549181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.549181Z digest=sha256:36ec23ff7e81ffffe7328610217d3079f76f6496e7d40b587eb0e430f4dab7e5

Observation eb2c7a28-06ef-46e2-a34f-4b56625677ef · 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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verified exact
doi, observed 2026-08-07T23:46:15.731956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.552830Z digest=sha256:f9b9567a16a13668ac6a38a7286fce28f88f26ec5bd3af779f7740154d3d741b

Observation c22833ef-a2fc-418b-a792-5e61b535b45e · 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

Resolution
verified exact
doi, observed 2026-08-07T23:46:15.719380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.556653Z digest=sha256:6fbaf864f78ad44dd2b5ce7947ba091b660983ed33bc59977eb3da71605decad

Observation 1a2ef600-02f9-43dc-8e28-fa979d4d3767 · 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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no resolver link, observed 2026-08-07T23:46:15.560554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.560554Z digest=sha256:64a4a66b3f17c0026d1b98747d403babb0af6c0eb8ef0ffe2c2dd1579dfe0b3f

Observation 9206bde1-8a45-411b-8b42-ad81fade7651 · 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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raw_fallback, observed 2026-08-07T23:46:17.927250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.564414Z digest=sha256:e318a30861d3fbebe4a2e584129e1b9e620273571fef3396a8d7d0b741cb5388

Observation f0c9b442-de83-43d8-afea-df0708102d28 · 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

Resolution
unresolved
no resolver link, observed 2026-08-07T23:46:15.568390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.568390Z digest=sha256:71d4e1511cb1ce43d69d4a1c3dfb8ac9b5b98d5762ebaf74425d804252484bad

Observation 5eecfaf0-ac5a-4611-91e7-1eafc51b81ce · 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

Resolution
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raw_fallback, observed 2026-08-07T23:46:17.905469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.576498Z digest=sha256:0db8bf05b0e8d04c3c81c770948005a16eb45e63e8a68a1de74fa47f3c09f5ec

Observation 742ead4a-6ecd-4334-b5a8-69b0485d1d32 · 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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no resolver link, observed 2026-08-07T23:46:15.580338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.580338Z digest=sha256:74fd58d4d38014cf3839fd7ccb0322044faf548ce5bc59e943c798652ad9cc81

Observation 7dda7b82-2b37-499e-8501-393440196740 · 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

Resolution
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arxiv_id_nonexistent, observed 2026-08-07T23:46:16.287660Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.584190Z digest=sha256:9941131daf81a9c8c0bebd96b86013d9f5175035e3617c355c129dbea5bc6a26

Observation 5ba46c74-76b7-4dd7-bcf2-9cca4aee8bb4 · 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

Resolution
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raw_fallback, observed 2026-08-07T23:46:17.891413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.587636Z digest=sha256:8d5fd46e4a4d00d1aacd843e06256986c4ae8d4040c89acad2095f12b5f2ee09

Observation 0cd98411-bb52-43e6-81c6-d3fd34ffd015 · 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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:46:17.878543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.591281Z digest=sha256:5be2e04c77e2488438377ae39d1deea00c3b5a8f77ff4efdc817c49774409fef

Observation b228c4a6-2930-49f8-b652-64cc4076a04b · 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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T23:46:17.865641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.595092Z digest=sha256:71b155f617b416a9634d725f037e4fa5dc54b938081c59392114f56a7814cc8b

Observation 8cb069f7-3f99-4e6b-817e-1772b96e7de6 · 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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verified exact
doi, observed 2026-08-07T23:46:15.692932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.598808Z digest=sha256:87190641b5a4e849fd65922e84ac850d7e4223317c4579ab5628c67e2c1ba3e5

Observation bfb82964-4348-48fc-ae98-1848098d8b47 · 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

Resolution
unresolved
raw_fallback, observed 2026-08-07T23:46:17.852507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.602587Z digest=sha256:7f6591ea2543e09daaf810035a9d0f70e0f0414bdb0c1d85b570df13ea13b0ca

Observation a72d7edd-4586-4658-8141-8d23b12d9b44 · 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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no resolver link, observed 2026-08-07T23:46:15.610621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.610621Z digest=sha256:965ed5e246070b460293d8294f9f9541920aff880db1d1f17b20e02c44da65df

Observation af7084e6-5d3d-4888-abd4-ccbcb07ca03b · 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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raw_fallback, observed 2026-08-07T23:46:17.839774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.614597Z digest=sha256:0df414af91750ee54129e2663fd38fcb130012c7578dc8865c3cd4ccd207d7b1

Observation fa9ad2b5-16be-4fae-8126-320b87a79b4a · outbound

This paper cites Tsitouras.

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

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T23:46:15.618623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.618623Z digest=sha256:9191dbf0056281a9bd79db42c16f14ff1158c3c7a6813b87c1032da510d6c82e

Observation 17db735d-3130-46ed-b1d5-ca446c96c429 · 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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verified exact
doi, observed 2026-08-07T23:46:15.658739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.622641Z digest=sha256:af967bae6520c708c6eb4ac86d828a7bee0e06d73ab49a8ed8d03902c377aa8b

Observation 9cd65e02-66f2-4d2d-97d6-fa0d8771bc9a · 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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arxiv_id_nonexistent, observed 2026-08-07T23:46:16.124445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.626402Z digest=sha256:ad3aad1f523726f1c15de336324a888daea6c542dce1bf86e860a50ce03e1519

Observation 437735c8-1f5b-45fb-a56c-2d2154e5e76f · 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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unresolved
no resolver link, observed 2026-08-07T23:46:15.572485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:46:15.572485Z digest=sha256:6380365ad46d48141293bfe5af331ac2377f6559ef1bcb3dcd32b85e12a3be8a

Observation 8dfa4861-b4cc-4a64-9e88-4fc6fbdf9c2d · 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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verified exact
doi, observed 2026-08-07T23:46:15.680764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T23:46:15.606533Z digest=sha256:97e4215af14594b309ea1202d0c1fb555934d60386a7a6599e7eeea43f584b49

Pith citing papers

No inbound Pith citation observations are available.