Paper Citation Record · LEDGER

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters

As of 19 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.00883.

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

pith.paper-citation-record.v1
2606.00883 v1

Coverage vector

measured 23 of 23 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-06-28T18:01:11.592565Z

measured 23 of 23 standing notices

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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.

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measured 0 of 1 external citation measurements

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

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Reference resolution

23 of 23 outbound references displayed

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External citation measurements

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Outbound references

Observation 8fd24942-069f-4818-934f-6d415f4a24dc · outbound

This paper cites Impedance circuit model of grid-forming inverter: Visualizing control algorithms as circuit elements,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Impedance circuit model of grid-forming inverter: Visualizing control algorithms as circuit elements,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 43bdb85f-fb77-4bad-8135-1f575349f565 · outbound

This paper cites Unified impedance model of grid-connected voltage-source converters,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Unified impedance model of grid-connected voltage-source converters,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 516ceb56-d775-4122-92c3-2933b327e730 · outbound

This paper cites Power system stability with a high penetration of inverter-based resources,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Power system stability with a high penetration of inverter-based resources,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 8bd41649-c8f2-491e-897d-4ad5144bfa94 · outbound

This paper cites Large-signal stability of grid-forming and grid-following controls in voltage source converter: A comparative study,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Large-signal stability of grid-forming and grid-following controls in voltage source converter: A comparative study,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation e28989a8-1411-45f4-a4d9-8bec14f64581 · outbound

This paper cites an unresolved cited work.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 8588e420-031f-490d-badb-f661b79a9063 · outbound

This paper cites Comparison and selection of grid- tied inverter models for accurate and efficient emt simulations,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Comparison and selection of grid- tied inverter models for accurate and efficient emt simulations,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation f8a3f5a9-5438-4a7b-a5e2-ca90c0e59dbf · outbound

This paper cites LaSalle and S.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters LaSalle and S

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 793ff95b-77d4-4b9c-ade3-5985ecf1f1ba · outbound

This paper cites Complete large- signal stability analysis of dc distribution network via brayton-moser’s mixed potential theory,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Complete large- signal stability analysis of dc distribution network via brayton-moser’s mixed potential theory,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 13fb4848-18c4-40c3-b070-bf6887dbd0f8 · outbound

This paper cites Pll synchronization transient stability analysis of a weak-grid connected vsc during asymmetric faults,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Pll synchronization transient stability analysis of a weak-grid connected vsc during asymmetric faults,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation bcaf6537-68a1-4834-8e22-d7d3fc5e84a4 · outbound

This paper cites Large-signal stability analysis of two-stage cascaded dc/dc converter systems using sum-of-squares programming,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Large-signal stability analysis of two-stage cascaded dc/dc converter systems using sum-of-squares programming,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 0aaf319a-e181-4598-ab2d-d698a2959675 · outbound

This paper cites Approximation capabilities of multi- layer feedforward networks.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Approximation capabilities of multi- layer feedforward networks

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-28T18:02:26.857229Z

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.

Observation 570d1536-dd7e-4380-9f93-3638d368edcf · outbound

This paper cites Computing lyapunov functions using deep neural networks,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Computing lyapunov functions using deep neural networks,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation f5e00277-11d1-44a9-afb2-cb38768d52f0 · outbound

This paper cites The lyapunov neural network: Adaptive stability certification for safe learning of dynamic systems,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters The lyapunov neural network: Adaptive stability certification for safe learning of dynamic systems,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation eef33a7f-0ad7-4a08-a153-b214d5551ea9 · outbound

This paper cites Neural lyapunov redesign,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Neural lyapunov redesign,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 788d1049-5569-4a88-bee6-2d3c5d05681f · outbound

This paper cites Neural lyapunov control,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Neural lyapunov control,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 7edb81b7-56e0-474d-bf5e-abb62207e9bd · outbound

This paper cites A neural lyapunov approach to transient stability assessment of power electronics-interfaced networked micro- grids,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters A neural lyapunov approach to transient stability assessment of power electronics-interfaced networked micro- grids,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 521a6da8-8f20-465d-8907-2d9eef3e6ea2 · outbound

This paper cites Neural lyapunov based transient stability analysis of networked grid-forming inverters with unknown internal dynamics,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Neural lyapunov based transient stability analysis of networked grid-forming inverters with unknown internal dynamics,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 542eb3bc-d244-4652-ae71-1ed52fa838b1 · outbound

This paper cites An improved neural lyapunov method for transient stability assessment of networked microgrids,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters An improved neural lyapunov method for transient stability assessment of networked microgrids,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 78d36bf9-20ef-48d8-88d4-948b648d39b5 · outbound

This paper cites Dissipation-based dynamics-aware learning scheme for transient stability analysis of networked black-box grid- forming inverters,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Dissipation-based dynamics-aware learning scheme for transient stability analysis of networked black-box grid- forming inverters,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation d6a5ed38-3bcf-40c0-923e-32cee37ca4aa · outbound

This paper cites δ-complete decision procedures for satisfiability over the reals,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters δ-complete decision procedures for satisfiability over the reals,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 701604e4-6ae3-4777-bac6-ea4fb9f81244 · outbound

This paper cites Learning to stabilize high-dimensional unknown systems using Lyapunov-guided exploration,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Learning to stabilize high-dimensional unknown systems using Lyapunov-guided exploration,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 2a9af670-e02d-4293-8224-6c1bb6077f34 · outbound

This paper cites Interactive control of coupled micro- grids for guaranteed system-wide small signal stability,.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Interactive control of coupled micro- grids for guaranteed system-wide small signal stability,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Observation 27b4a76c-4356-4828-bd94-c415e421c6be · outbound

This paper cites an unresolved cited work.

Lipschitz-Enforced Machine Learning Framework for Accelerating Transient Stability Analysis of Networked Grid-Interactive Inverters Unresolved cited work

Reference 23

Resolution: unresolved; no resolver link, observed 2026-06-28T18:01:11.592565Z

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Pith citing papers

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