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Paper Citation Record · LEDGER

ICODE: Modeling Dynamical Systems with Extrinsic Input Information

As of 19 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2411.13914.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2411.13914 v4

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:50:11.180928Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy29
  • unresolved9
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 492e43b8-aaee-4ebe-ae22-9fc09bd305bc · outbound

This paper cites Neurobiological models of two-choice decision making can be reduced to a one-dimensional nonlinear diffusion equation,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Neurobiological models of two-choice decision making can be reduced to a one-dimensional nonlinear diffusion equation,

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 52277030-8ac0-4b92-bdab-7c4b272a4650 · outbound

This paper cites Dynamic decision making: Human control of complex systems,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Dynamic decision making: Human control of complex systems,

Reference 2

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6e490c27-b7fd-45c8-a02a-8e4f245c4832 · outbound

This paper cites A scalable safety critical control framework for nonlinear systems,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information A scalable safety critical control framework for nonlinear systems,

Reference 3

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aa9f56a8-b84f-430b-aeb6-b07d75a49716 · outbound

This paper cites Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Overt: An algorithm for safety verification of neural network control policies for nonlinear systems,

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation edb41f64-12a7-4a59-90c0-69377f34c208 · outbound

This paper cites Neural ordinary differential equations,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Neural ordinary differential equations,

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e8b441b8-bce0-459b-b38a-f97ce3f2c250 · outbound

This paper cites Augmented neural ODEs,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Augmented neural ODEs,

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation bc4d7fb4-1325-49fa-bf84-bf8406429a0b · outbound

This paper cites Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Stable neural ODE with Lyapunov-stable equilibrium points for defending against adversarial attacks,

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e88b8cf5-8479-402d-ad1e-d43ff62b0528 · outbound

This paper cites Stabilized neural differential equations for learning dynamics with explicit constraints,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Stabilized neural differential equations for learning dynamics with explicit constraints,

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation e0ce1736-c580-46d0-bd6c-2d75a571e742 · outbound

This paper cites Data-driven methods applied to soft robot modeling and control: A review,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Data-driven methods applied to soft robot modeling and control: A review,

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f0287050-1a45-4f6e-a712-ef3d6583f5c7 · outbound

This paper cites Robust tracking control of heterogeneous robots with uncertainty: A super-exponential convergence neurodynamic approach,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Robust tracking control of heterogeneous robots with uncertainty: A super-exponential convergence neurodynamic approach,

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 4a9cf942-1863-48da-97c7-d6f925a7db35 · outbound

This paper cites Neural network stochastic differential equation models with applications to financial data forecast- ing,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Neural network stochastic differential equation models with applications to financial data forecast- ing,

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1475b0fa-2c9e-4fd8-af9a-8c022a309c76 · outbound

This paper cites Towards neural earth system modelling by integrating artificial intelligence in earth system science,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Towards neural earth system modelling by integrating artificial intelligence in earth system science,

Reference 12

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 34c5668f-9a17-47d6-8590-440b764c1945 · outbound

This paper cites Ankle joint torque estimation using an emg-driven neuromusculoskeletal model and an artificial neural network model,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Ankle joint torque estimation using an emg-driven neuromusculoskeletal model and an artificial neural network model,

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 80ad65a0-5c81-479c-8f9b-5615e08bada2 · outbound

This paper cites Neural controlled differential equations for irregular time series,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Neural controlled differential equations for irregular time series,

Reference 14

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 84dc8d88-c1a8-496a-af74-4a51ca915883 · outbound

This paper cites Lyanet: A Lyapunov frame- work for training neural ODEs,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Lyanet: A Lyapunov frame- work for training neural ODEs,

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 67a8ad34-7f59-4175-9c29-c37e04b2e204 · outbound

This paper cites Stable Neural Flows.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Stable Neural Flows

Reference 16

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 11498903-b085-4678-a91b-864cab5e6425 · outbound

This paper cites Robust classification using contractive Hamiltonian neural ODEs,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Robust classification using contractive Hamiltonian neural ODEs,

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 573e5ae4-ab9f-4e13-b489-6a1c2e68901b · outbound

This paper cites Learning stabilizable dynamical systems via control contraction metrics,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Learning stabilizable dynamical systems via control contraction metrics,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c1bb20da-dd15-4418-ad23-f27257a32960 · outbound

This paper cites Vid- ode: Continuous-time video generation with neural ordinary differential equation,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Vid- ode: Continuous-time video generation with neural ordinary differential equation,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f0810276-24c6-4fdc-84d0-ec4e66ada9d6 · outbound

This paper cites Deep learning adapted to differential neural networks used as pattern classifi- cation of electrophysiological signals,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Deep learning adapted to differential neural networks used as pattern classifi- cation of electrophysiological signals,

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f88b709e-8aeb-4335-b0ac-b84770ee47d6 · outbound

This paper cites Physics-informed neural networks for the shallow-water equations on the sphere,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Physics-informed neural networks for the shallow-water equations on the sphere,

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5a69968d-813b-4fda-bb7e-cea55963aa95 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 22

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c0242896-4339-4ce8-8f8b-b5f8ef550ea1 · outbound

This paper cites Towards complex dy- namic physics system simulation with graph neural ordinary equations,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Towards complex dy- namic physics system simulation with graph neural ordinary equations,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:50:11.435147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5f383d88-81ba-4ada-8204-20ffc64a8d3c · outbound

This paper cites Stochastic physics-informed neural ordinary differential equations,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Stochastic physics-informed neural ordinary differential equations,

Reference 24

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 09eb56fc-ba77-4928-ad29-3b7b755d8694 · outbound

This paper cites Hamiltonian neural net- works,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Hamiltonian neural net- works,

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 49a6a812-3847-4b31-bd5b-b92aa55fcb29 · outbound

This paper cites Lagrangian Neural Networks.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Lagrangian Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-12T15:50:11.126430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 3ba93cac-e7d9-4e43-abe6-04a513800e4a · outbound

This paper cites On contraction analysis for non-linear systems,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information On contraction analysis for non-linear systems,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T15:50:11.130711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4f7db4b9-eb99-4410-ae8a-97330565725a · outbound

This paper cites Rigid-body attitude control,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Rigid-body attitude control,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:50:11.380235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation a2595490-1347-4261-ae60-35eb2d919dc1 · outbound

This paper cites Stochastic self-modulation of waves in nonequilibrium media,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Stochastic self-modulation of waves in nonequilibrium media,

Reference 29

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2eca828a-d0dc-4f47-a601-4faa723e03ba · outbound

This paper cites Modelization and experimental studies on the control of the glycolytic-glycogenolytic pathway in rat liver,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Modelization and experimental studies on the control of the glycolytic-glycogenolytic pathway in rat liver,

Reference 30

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f94d03f5-65bf-472c-a36f-0cc8d3136124 · outbound

This paper cites Intervention in biological phenomena via feedback linearization,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Intervention in biological phenomena via feedback linearization,

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 1f14e00c-1a34-4579-bf65-ba32a34f9240 · outbound

This paper cites A neural ODE interpretation of transformer layers,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information A neural ODE interpretation of transformer layers,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:50:11.317464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 86fc6fb6-61f4-4853-83c8-9f67751aaa22 · outbound

This paper cites Controlsynth neural ODEs: Modeling dynamical systems with guaranteed convergence,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Controlsynth neural ODEs: Modeling dynamical systems with guaranteed convergence,

Reference 33

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 10c89fea-b9c1-4451-b457-2c8e87df0b54 · outbound

This paper cites Power system stability,.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Power system stability,

Reference 34

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unresolved
no resolver link, observed 2026-08-12T15:50:11.161561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 72dda9d9-b4cb-4d53-a4ea-e939beb482a5 · outbound

This paper cites On Neural Differential Equations.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information On Neural Differential Equations

Reference 35

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unresolved
no resolver link, observed 2026-08-12T15:50:11.166067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation afe16189-c6c1-481a-896b-0e74f2dca6d2 · outbound

This paper cites In many cases, fθ is implemented using a standard neural network architecture, such as a feedforward or convolutional network.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information In many cases, fθ is implemented using a standard neural network architecture, such as a feedforward or convolutional network

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T15:50:11.284623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:50:11.171100Z digest=sha256:54afe8dd1a9f4ade97666065dbcfde17a844fa2f68067c303af82cc562c0fb86

Observation 3497f2ae-11bd-41eb-973c-7340b0f4d067 · outbound

This paper cites an unresolved cited work.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:50:11.267933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:50:11.176592Z digest=sha256:617b2d027872ed25599952ff221cab05ff1b62431391d3cc4181f7a9da7de83b

Observation 1afe1a86-f6df-4f7c-93cf-a009cd04c5a4 · outbound

This paper cites an unresolved cited work.

ICODE: Modeling Dynamical Systems with Extrinsic Input Information Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-12T15:50:11.254636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-12T15:50:11.180928Z digest=sha256:b32de211173694223e1962cf933aa908e37eb074708bfa4cfec4f5271a2a7da8

Pith citing papers

No inbound Pith citation observations are available.