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Paper Citation Record · LEDGER

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.05843.

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pith.paper-citation-record.v1
2607.05843 v3

Coverage vector

measured 28 of 28 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T08:27:34.592221Z

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

28 of 28 outbound references displayed

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Outbound references

Observation ff2b0d44-fcab-4fae-8619-0b3a06202399 · outbound

This paper cites Grid- forming converters: Control approaches, grid-synchronization, and future trends—a review,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Grid- forming converters: Control approaches, grid-synchronization, and future trends—a review,

Reference 1

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Observation 9e25ce4a-d9f1-4786-a5b4-3415ad6ec0e9 · outbound

This paper cites A more resilient grid: The u.s. department of energy joins with stakeholders in an r&d plan,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources A more resilient grid: The u.s. department of energy joins with stakeholders in an r&d plan,

Reference 2

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Observation ce4823d0-6818-44fa-9b19-4cf7533d001d · outbound

This paper cites Data- driven dynamic modeling in power systems: A fresh look on inverter- based resource modeling,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Data- driven dynamic modeling in power systems: A fresh look on inverter- based resource modeling,

Reference 3

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Observation dac0acab-c608-44fd-a82a-ce1db9787891 · outbound

This paper cites An online power system stability monitoring system using convolutional neural networks,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources An online power system stability monitoring system using convolutional neural networks,

Reference 4

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Observation c254a680-bcef-414d-ab58-7216d3ca681e · outbound

This paper cites Multi-agent graph-attention deep reinforcement learning for post-contingency grid emergency volt- age control,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Multi-agent graph-attention deep reinforcement learning for post-contingency grid emergency volt- age control,

Reference 5

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Observation 5f649608-95c1-431a-bd4f-1b3059cd8b52 · outbound

This paper cites A model predictive approach for enhancing transient stability of grid-forming converters,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources A model predictive approach for enhancing transient stability of grid-forming converters,

Reference 6

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Observation 7e0b616e-0939-4979-be67-4b121a60ba09 · outbound

This paper cites Efficient transient stability analysis of electrical power system based on a spatially paral- leled hybrid approach,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Efficient transient stability analysis of electrical power system based on a spatially paral- leled hybrid approach,

Reference 7

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Observation b2d81c97-eebb-4e83-9fc7-3be8081b6f78 · outbound

This paper cites A multi-decomposition approach for accelerated time-domain simulation of transient stability problems,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources A multi-decomposition approach for accelerated time-domain simulation of transient stability problems,

Reference 8

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Observation dbb20cda-d847-44a4-aea4-560a6bb8c774 · outbound

This paper cites Ieee standard for interconnection and interoperability of inverter-based resources (ibrs) interconnecting with associated transmission electric power systems,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Ieee standard for interconnection and interoperability of inverter-based resources (ibrs) interconnecting with associated transmission electric power systems,

Reference 9

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Observation 3a3e740d-759a-4840-8fe2-581e0d0d8b10 · outbound

This paper cites Physics-informed neural networks: A plug and play integration into power system dynamic simulations,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Physics-informed neural networks: A plug and play integration into power system dynamic simulations,

Reference 10

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Observation e3419e17-7e30-45c5-97bd-09cc2ae84afb · outbound

This paper cites Machine-learning-based online transient analysis via iterative computation of generator dynamics,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Machine-learning-based online transient analysis via iterative computation of generator dynamics,

Reference 11

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Observation 88886363-27fe-43f9-acb0-330b562e0f40 · outbound

This paper cites The use of machine learning for prediction of post-fault rotor angle trajectories,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources The use of machine learning for prediction of post-fault rotor angle trajectories,

Reference 12

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Observation 0160e6c6-d22d-48f2-aa70-099b63b7c76c · outbound

This paper cites Structure-informed graph learning of networked dependencies for online prediction of power system transient dynamics,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Structure-informed graph learning of networked dependencies for online prediction of power system transient dynamics,

Reference 13

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Observation 6c22b4a5-9dd3-4a6d-92ef-ba68cfebe55e · outbound

This paper cites A frequency domain approach to predict power system transients,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources A frequency domain approach to predict power system transients,

Reference 14

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Observation 745fbe98-9ab2-4ef8-873e-d8b8ec97c9b9 · outbound

This paper cites Bayesian post-fault power system dynamic trajec- tory prediction,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Bayesian post-fault power system dynamic trajec- tory prediction,

Reference 15

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Observation 03c725eb-1554-4c5c-83b4-81771bc457ac · outbound

This paper cites Data-driven modeling for grid edge ibrs: A digital twin perspective of user-defined models,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Data-driven modeling for grid edge ibrs: A digital twin perspective of user-defined models,

Reference 16

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Observation 6dc9f362-b66a-46f7-9f3f-051b65ac23f7 · outbound

This paper cites Integrating learning and physics based computation for fast online transient analysis,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Integrating learning and physics based computation for fast online transient analysis,

Reference 17

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Observation 09ce0424-7f38-40ca-8be0-f462aff854dd · outbound

This paper cites Online dynamic security assessment: Using hybrid physics-guided deep learning models,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Online dynamic security assessment: Using hybrid physics-guided deep learning models,

Reference 18

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Observation ce30dedf-2601-4ac0-ba42-de5c07a6f9ec · outbound

This paper cites Advanced probabilistic transient stability assess- ment for operational planning: A physics-informed graphical learning approach,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Advanced probabilistic transient stability assess- ment for operational planning: A physics-informed graphical learning approach,

Reference 19

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Observation fb9d5f44-28b4-481b-872b-116728a5d7cf · outbound

This paper cites Gray-box modeling for distribution systems with inverter-based resources: Integrating physics- based and data-driven approaches,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Gray-box modeling for distribution systems with inverter-based resources: Integrating physics- based and data-driven approaches,

Reference 20

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Observation 2baaa2b3-e0d5-448e-89b8-eb02c030b370 · outbound

This paper cites Time-domain measurement-baseddq-frame admit- tance model identification for inverter-based resources,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Time-domain measurement-baseddq-frame admit- tance model identification for inverter-based resources,

Reference 21

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Observation 28f1db09-6f70-4cd6-9994-7ece6557ce98 · outbound

This paper cites Learning to model the dynamics of black-box inverter-based resources with multiple unknown control modes from noisy measurement data,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Learning to model the dynamics of black-box inverter-based resources with multiple unknown control modes from noisy measurement data,

Reference 22

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Observation f720bb69-ca43-4927-9e0e-86eee82a0880 · outbound

This paper cites Modeling of grid-forming and grid-following invert- ers for dynamic simulation of large-scale distribution systems,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Modeling of grid-forming and grid-following invert- ers for dynamic simulation of large-scale distribution systems,

Reference 23

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Observation 4aadc7d1-a42a-4f58-9e1a-bf1fc5d4f74e · outbound

This paper cites Online identification of power system dynamic signature using pmu measurements and data mining,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Online identification of power system dynamic signature using pmu measurements and data mining,

Reference 24

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Observation 9fec2be9-a16a-4017-ad74-8cd5721bbdbf · outbound

This paper cites A state-independent linear power flow model with accurate estimation of voltage magnitude,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources A state-independent linear power flow model with accurate estimation of voltage magnitude,

Reference 25

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Observation c7954ba8-7542-4b5d-bbd0-4e128b5323be · outbound

This paper cites A test cases library for methods locating the sources of sustained oscillations,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources A test cases library for methods locating the sources of sustained oscillations,

Reference 26

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Observation 9f2db784-e90a-4003-9e3d-1c3f333fb44d · outbound

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

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Hybrid symbolic-numeric framework for power system modeling and analysis,

Reference 27

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Observation c35bb0ab-9d49-41bf-a84d-90fe896114b9 · outbound

This paper cites Attack identification and correction for pmu gps spoofing in unbalanced distribution systems,.

Network Interdependency-Informed Power System Dynamic Trajectory Prediction Utilizing Black-Box Modeling of Multiple Inverter-Based Resources Attack identification and correction for pmu gps spoofing in unbalanced distribution systems,

Reference 28

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