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Paper Citation Record · LEDGER

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.08065.

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

pith.paper-citation-record.v1
2412.08065 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:19:26.873194Z

measured 25 of 25 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

25 of 25 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 38688a98-9171-4167-ae3c-bb05513d8054 · outbound

This paper cites Revisiting power systems time-domain simulation methods and models,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Revisiting power systems time-domain simulation methods and models,

Reference 1

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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 c8aeb32e-f01e-4a03-810a-1134a20f42ca · outbound

This paper cites Machine learning driven smart electric power systems: Current trends and new perspectives,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Machine learning driven smart electric power systems: Current trends and new perspectives,

Reference 2

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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 9866659a-762b-4af4-b84b-ba51bc5e8f2e · outbound

This paper cites Reinforcement learning for selective key applications in power systems: Recent advances and future challenges,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Reinforcement learning for selective key applications in power systems: Recent advances and future challenges,

Reference 3

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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 6ee8e96c-3289-40bd-9cca-85843fe73dd0 · outbound

This paper cites Hybrid symbolic-numeric framework for power system modeling and analysis,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Hybrid symbolic-numeric framework for power system modeling and analysis,

Reference 4

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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 b28978b3-af3e-4b60-acbd-40315ccf75ec · outbound

This paper cites MAT- POWER: Steady-state operations, planning, and analysis tools for power systems research and education,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications MAT- POWER: Steady-state operations, planning, and analysis tools for power systems research and education,

Reference 5

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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 5089f0cf-e472-4b89-a541-3309e60bd86d · outbound

This paper cites Pandapower—an open-source Python tool for convenient modeling, analysis, and optimization of electric power systems,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Pandapower—an open-source Python tool for convenient modeling, analysis, and optimization of electric power systems,

Reference 6

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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 fded5057-5dec-4424-ab4d-ea3e64c5bb53 · outbound

This paper cites PowerSystems.jl—a power system data management package for large scale modeling,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications PowerSystems.jl—a power system data management package for large scale modeling,

Reference 7

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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 48a1d90f-b22d-4dc9-a5f6-d4f7c609599b · outbound

This paper cites PyPSA: Python for power system analysis,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications PyPSA: Python for power system analysis,

Reference 8

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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 9ad8737b-e315-44f4-91a3-7ca3b6099758 · outbound

This paper cites PowerModels.jl: An open-source framework for exploring power flow formulations,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications PowerModels.jl: An open-source framework for exploring power flow formulations,

Reference 9

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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 3141b9cd-32e4-4949-839a-ab293afe7800 · outbound

This paper cites PowerModelsDistri- bution. jl: An open-source framework for exploring distribution power flow formulations,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications PowerModelsDistri- bution. jl: An open-source framework for exploring distribution power flow formulations,

Reference 10

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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 6e0e40bd-e055-4161-bd2b-a07b11769f77 · outbound

This paper cites An open source platform for collaborating on smart grid research,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications An open source platform for collaborating on smart grid research,

Reference 11

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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 ccc260e7-6eb5-44da-b1ee-db46e4573b0c · outbound

This paper cites GridLAB-D: an agent-based simulation framework for smart grids,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications GridLAB-D: an agent-based simulation framework for smart grids,

Reference 12

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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 46cb184b-bcfd-44a7-bcbe-6133100b85cd · outbound

This paper cites Review: Power system analysis software tools,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Review: Power system analysis software tools,

Reference 13

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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 15495aef-f5ee-45fa-a164-2f8252ac8ed4 · outbound

This paper cites A survey and statistical analysis of smart grid co-simulations,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications A survey and statistical analysis of smart grid co-simulations,

Reference 14

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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 34285a2f-0ad7-477b-beeb-c686077963af · outbound

This paper cites An open source power system analysis toolbox,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications An open source power system analysis toolbox,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T18:19:27.048465Z

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 adea4f29-03e2-4861-a971-56427c486fc3 · outbound

This paper cites A toolbox for power system dynamics and control engineering education and research,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications A toolbox for power system dynamics and control engineering education and research,

Reference 16

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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 1ba3d20f-934f-4d6e-b7a5-829ad655b12b · outbound

This paper cites Frequency stability of synchronous machines and grid-forming power converters,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Frequency stability of synchronous machines and grid-forming power converters,

Reference 17

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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 6051f6e3-64c4-4aba-aa39-146b7894adc1 · outbound

This paper cites Comparison of grid fol- lowing and grid forming control for a high inverter penetration power system,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Comparison of grid fol- lowing and grid forming control for a high inverter penetration power system,

Reference 18

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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 c767ce30-81ad-4647-b422-a68a18101214 · outbound

This paper cites Grid-forming inverters: Are they the key for high renewable penetration?.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Grid-forming inverters: Are they the key for high renewable penetration?

Reference 19

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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 0508498e-8819-4c34-865a-1ee954627ff1 · outbound

This paper cites Transient stability of voltage- source converters with grid-forming control: A design-oriented study,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Transient stability of voltage- source converters with grid-forming control: A design-oriented study,

Reference 20

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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 5bfc8137-b63f-4ae1-97c7-17b4f32f9ecb · outbound

This paper cites A Review of Safe Reinforcement Learning Methods for Modern Power Systems.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications A Review of Safe Reinforcement Learning Methods for Modern Power Systems

Reference 21

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no resolver link, observed 2026-08-11T18:19:26.854468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 93dbf9d9-fe18-4491-8d13-e3e5c50540dd · outbound

This paper cites PowerSimulationsDynamics.jl -- An Open Source Modeling Package for Modern Power Systems with Inverter-Based Resources.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications PowerSimulationsDynamics.jl -- An Open Source Modeling Package for Modern Power Systems with Inverter-Based Resources

Reference 22

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no resolver link, observed 2026-08-11T18:19:26.859385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1ddc3823-291a-4bbe-9534-5a0b2d8a0f97 · outbound

This paper cites Towards an open-source solution using modelica for time-domain simulation of power systems,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Towards an open-source solution using modelica for time-domain simulation of power systems,

Reference 23

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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 565b4f33-162a-41c6-a093-bf8154b3cf94 · outbound

This paper cites Small-signal sta- bility impacts of load and network dynamics on grid-forming inverters,.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Small-signal sta- bility impacts of load and network dynamics on grid-forming inverters,

Reference 24

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raw_fallback, observed 2026-08-11T18:19:26.947515Z

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 9d066af9-e007-44df-8fe0-8fc92a979852 · outbound

This paper cites Abiola-Ellison, Getting Started with Lazarus and Free Pascal: a beginners and intermediate guide to Free Pascal using Lazarus IDE.

A Survey of Open-Source Power System Dynamic Simulators with Grid-Forming Inverter for Machine Learning Applications Abiola-Ellison, Getting Started with Lazarus and Free Pascal: a beginners and intermediate guide to Free Pascal using Lazarus IDE

Reference 25

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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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Pith citing papers

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