Paper Citation Record · LEDGER

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.16258.

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

pith.paper-citation-record.v1
2607.16258 v1

Coverage vector

measured 20 of 20 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T09:44:15.956088Z

measured 20 of 20 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

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

20 of 20 outbound references displayed

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Outbound references

Observation 61e5b6ba-9d51-40aa-8d41-f95f0b950589 · outbound

This paper cites an unresolved cited work.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:14.879251Z

Source-reported events for the cited work

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Observation f8497a8c-6c08-4a75-9469-0085bfc14585 · outbound

This paper cites Transient stability analysis of grid forming converters based on damping energy visualization and geometry approximation.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Transient stability analysis of grid forming converters based on damping energy visualization and geometry approximation

Reference 2

Resolution: verified exact; doi, observed 2026-08-02T09:48:22.382723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b69d057d-ab1a-41de-9625-6662a0136f99 · outbound

This paper cites Transient stability analysis and control design of droop-controlled voltage source converters considering current limitation.IEEE Transactions on Smart Grid, 10(1):578–591, 2019.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Transient stability analysis and control design of droop-controlled voltage source converters considering current limitation.IEEE Transactions on Smart Grid, 10(1):578–591, 2019

Reference 3

Resolution: malformed identifier; no resolver link, observed 2026-08-02T09:44:14.993647Z

Source-reported events for the cited work

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Observation 0e671f31-1c3c-4f3e-8fb5-534c8c4585ea · outbound

This paper cites McGraw-Hill, 1994.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters McGraw-Hill, 1994

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.045026Z

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Unavailable: canonical work link unavailable.

Observation 012bbe47-da5f-43e9-98d7-10f078325a36 · outbound

This paper cites an unresolved cited work.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Unresolved cited work

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-08-02T09:44:15.092147Z

Source-reported events for the cited work

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Observation 366b1622-8103-454c-b56e-1ee3dafcdae9 · outbound

This paper cites Graph neural solver for power systems.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Graph neural solver for power systems

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.133699Z

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Observation fd82eb3e-4b9d-4573-aa20-adb6a52be5dc · outbound

This paper cites Foundation models for the electric power grid.Joule, 8(12):3245–3258, 2024.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Foundation models for the electric power grid.Joule, 8(12):3245–3258, 2024

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.224951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0006ebc0-1cb7-4799-b6a0-c09a04ccadae · outbound

This paper cites Modeling power electronic converters using a method based on long-short term memory (lstm) networks.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Modeling power electronic converters using a method based on long-short term memory (lstm) networks

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.318925Z

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Observation 17621dc0-b94f-4836-a692-5987a2a2eb16 · outbound

This paper cites Physics-informed neural networks for phase locked loop transient stability assessment.Electric Power Systems Research, 236:110790, 2024.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Physics-informed neural networks for phase locked loop transient stability assessment.Electric Power Systems Research, 236:110790, 2024

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.349172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7654bbbe-50c0-4c52-bc75-d0b1205ea4d4 · outbound

This paper cites Neural network models and transfer learning for impedance modeling of grid-tied inverters.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Neural network models and transfer learning for impedance modeling of grid-tied inverters

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.399949Z

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Unavailable: canonical work link unavailable.

Observation b25dd769-e404-427e-a51c-bc867738d9a4 · outbound

This paper cites Feasibility study of neural ode and dae modules for power system dynamic component modeling.IEEE Transac- tions on Power Systems, 38(3):2666–2678, 2022.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Feasibility study of neural ode and dae modules for power system dynamic component modeling.IEEE Transac- tions on Power Systems, 38(3):2666–2678, 2022

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.436051Z

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Observation a0146cad-1041-4366-968f-2a358a5e0196 · outbound

This paper cites On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters On Approximating the Dynamic Response of Synchronous Generators via Operator Learning: A Step Towards Building Deep Operator-based Power Grid Simulators

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.489938Z

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Observation 31595130-4b2c-401e-8d1d-3534a9739501 · outbound

This paper cites Data-driven modeling of grid-forming inverter dynamics using power hardware-in-the-loop experimentation.IEEE Access, 12:52267–52281, 2024.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Data-driven modeling of grid-forming inverter dynamics using power hardware-in-the-loop experimentation.IEEE Access, 12:52267–52281, 2024

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.534657Z

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Observation bf257cbe-1d71-41ac-b92b-d3894e1f8a51 · outbound

This paper cites Neuro-modeling infused emt analytics.IEEE Transactions on Consumer Electronics, 2025.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Neuro-modeling infused emt analytics.IEEE Transactions on Consumer Electronics, 2025

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.582036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 936b8795-fed0-429d-9dfc-95f00a520231 · outbound

This paper cites Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Neural ordinary differential equations.Advances in neural information processing systems, 31, 2018

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.616354Z

Source-reported events for the cited work

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Observation 3bac509c-be34-4234-b723-ca010bfce35b · outbound

This paper cites SNODE: Spectral Discretization of Neural ODEs for System Identification.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters SNODE: Spectral Discretization of Neural ODEs for System Identification

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.633374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85ddeb8a-1b90-41c1-a8bf-94388e1eac96 · outbound

This paper cites Neural controlled differential equations for irregular time series.Advances in neural information processing systems, 33: 6696–6707, 2020.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Neural controlled differential equations for irregular time series.Advances in neural information processing systems, 33: 6696–6707, 2020

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.764380Z

Source-reported events for the cited work

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Observation fc2592bb-310f-4647-a590-49739df975d5 · outbound

This paper cites Springer, 2007.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Springer, 2007

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.831845Z

Source-reported events for the cited work

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Observation 6ca56626-0fdf-4ec3-ba16-97d3c5dd59f3 · outbound

This paper cites Augmented neural odes.Advances in neural information processing systems, 32, 2019.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters Augmented neural odes.Advances in neural information processing systems, 32, 2019

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.902153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0b03c9-5156-439b-9c8f-6d027a71df08 · outbound

This paper cites How to train your neural ode: the world of jacobian and kinetic regularization.

Neural Controlled Differential Equations for EMT-Level Surrogate Modeling of Grid-Forming Inverters How to train your neural ode: the world of jacobian and kinetic regularization

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-02T09:44:15.956088Z

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Pith citing papers

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