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Paper Citation Record · LEDGER

Revisiting data-driven dynamic security assessment with a tabular foundation model

As of 24 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.16031.

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

pith.paper-citation-record.v1
2607.16031 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:36:45.095153Z

measured 33 of 33 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

33 of 33 outbound references displayed

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Outbound references

Observation 27e6e866-15a3-41e7-aea2-f016ae36e4fb · outbound

This paper cites Operating in the Fog: Security Management Under Uncertainty,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Operating in the Fog: Security Management Under Uncertainty,

Reference 1

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Observation fe1e7261-c9a8-4c9d-9366-0a913f5502d4 · outbound

This paper cites Mitigating cascading failure in power grids with deep reinforcement learning-based remedial actions,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Mitigating cascading failure in power grids with deep reinforcement learning-based remedial actions,

Reference 2

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Observation 954c0d07-f836-4317-8168-1dfbf4d57ad5 · outbound

This paper cites Machine-learned security assessment for changing system topologies,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Machine-learned security assessment for changing system topologies,

Reference 3

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Observation 4cb60dba-7c9b-49d8-b019-01aef17861f0 · outbound

This paper cites Recent Developments in Machine Learning for Energy Systems Reliability Management,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Recent Developments in Machine Learning for Energy Systems Reliability Management,

Reference 4

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Observation 5775d5e4-82a4-4a1f-8e53-2f6226d6868e · outbound

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Revisiting data-driven dynamic security assessment with a tabular foundation model Unresolved cited work

Reference 5

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Observation 948cba30-37c0-4b9f-b423-0c5803015acc · outbound

This paper cites an unresolved cited work.

Revisiting data-driven dynamic security assessment with a tabular foundation model Unresolved cited work

Reference 6

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Observation 793cebed-d446-4ec3-9f41-57e2a9ac884f · outbound

This paper cites Selecting decision trees for power system security assessment,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Selecting decision trees for power system security assessment,

Reference 7

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Observation 868e6dfe-d543-4cb4-a99f-cc341441a0e5 · outbound

This paper cites Power System Transient Stability Assessment Based on Stacked Autoencoders and Support Vector Machine,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Power System Transient Stability Assessment Based on Stacked Autoencoders and Support Vector Machine,

Reference 8

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Observation 3aaee33d-44af-4618-9f17-85d2bacdc878 · outbound

This paper cites Steady-state data-driven dynamic stability assessment in the Korean power system,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Steady-state data-driven dynamic stability assessment in the Korean power system,

Reference 9

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Observation 4d6e4826-6ab1-48f8-b9a8-85de56c461ea · outbound

This paper cites Intelligent Time-Adaptive Transient Stability Assessment System,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Intelligent Time-Adaptive Transient Stability Assessment System,

Reference 10

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Observation 04df82b4-0db4-4b70-8bf6-2bb949ab5dd4 · outbound

This paper cites An Online Power System Stability Monitoring System Using Convolutional Neural Networks,.

Revisiting data-driven dynamic security assessment with a tabular foundation model An Online Power System Stability Monitoring System Using Convolutional Neural Networks,

Reference 11

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Observation 641bdbe3-4396-4523-b880-25e83c09165e · outbound

This paper cites A Frequency Domain Approach to Predict Power System Transients,.

Revisiting data-driven dynamic security assessment with a tabular foundation model A Frequency Domain Approach to Predict Power System Transients,

Reference 12

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Observation 2fe6298c-d49e-47e0-afd4-daaaf8dd6bb5 · outbound

This paper cites Online Neural Dynamics Forecasting for power system security,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Online Neural Dynamics Forecasting for power system security,

Reference 13

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Observation 9c2eef67-c53c-402b-a035-356dbd463b90 · outbound

This paper cites Continuous Feature Represen- tation of Fault Location Based on Electrical Distance for Generalizable Data-Driven Dynamic Security Assessment,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Continuous Feature Represen- tation of Fault Location Based on Electrical Distance for Generalizable Data-Driven Dynamic Security Assessment,

Reference 14

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Observation 70d17840-d862-46b5-9efa-b28ffef06ee4 · outbound

This paper cites Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Implementation of a Massively Parallel Dynamic Security Assessment Platform for Large-Scale Grids,

Reference 15

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Observation 3b27d077-2989-4414-bb56-8494dc2d1e1d · outbound

This paper cites A Bayesian Learning Based Scheme for Online Dynamic Security Assessment and Preventive Control,.

Revisiting data-driven dynamic security assessment with a tabular foundation model A Bayesian Learning Based Scheme for Online Dynamic Security Assessment and Preventive Control,

Reference 16

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Observation fef83465-54b0-4da3-ab0e-7b5ef595e36f · outbound

This paper cites Transfer Learning-Based Power System Online Dynamic Security Assessment: Using One Model to Assess Many Unlearned Faults,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Transfer Learning-Based Power System Online Dynamic Security Assessment: Using One Model to Assess Many Unlearned Faults,

Reference 17

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Observation 9d73fe1c-1e31-4603-96fa-93fdd09d3572 · outbound

This paper cites Pre-Fault Dynamic Security Assessment of Power Systems for Multiple Different Faults via Multi-Label Learning,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Pre-Fault Dynamic Security Assessment of Power Systems for Multiple Different Faults via Multi-Label Learning,

Reference 18

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Observation 63220198-fd8b-4b32-808b-67c7513fc221 · outbound

This paper cites An Online Dynamic Security Assessment Scheme Using Phasor Measurements and Decision Trees,.

Revisiting data-driven dynamic security assessment with a tabular foundation model An Online Dynamic Security Assessment Scheme Using Phasor Measurements and Decision Trees,

Reference 19

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Observation 6fd455de-0c35-4ad1-8c30-dbb3fcc3801d · outbound

This paper cites Exploring extrapolation of machine learning models for power system time domain simulation,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Exploring extrapolation of machine learning models for power system time domain simulation,

Reference 20

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Observation 8fc5bcc1-3689-4091-85db-15ad07664f9d · outbound

This paper cites A Systematic Approach for Dynamic Security Assessment and the Corresponding Preventive Control Scheme Based on Decision Trees,.

Revisiting data-driven dynamic security assessment with a tabular foundation model A Systematic Approach for Dynamic Security Assessment and the Corresponding Preventive Control Scheme Based on Decision Trees,

Reference 21

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Observation 2db2c30f-b0a7-4f83-9512-e03fab5ff95c · outbound

This paper cites A dataset generation toolbox for dynamic security assess- ment: On the role of the security boundary,.

Revisiting data-driven dynamic security assessment with a tabular foundation model A dataset generation toolbox for dynamic security assess- ment: On the role of the security boundary,

Reference 22

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Observation 82c5ae5b-1605-4411-8bf4-4ef025904f3c · outbound

This paper cites Split-based sequential sampling for realtime security assessment,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Split-based sequential sampling for realtime security assessment,

Reference 23

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Observation 1727c401-61b0-482f-970d-8735569821b1 · outbound

This paper cites Foundation models for the electric power grid,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Foundation models for the electric power grid,

Reference 24

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Observation 5823fc82-6e87-401e-aac5-306ec47a9de4 · outbound

This paper cites Predicting Power- System Dynamic Trajectories with Foundation Models,.

Revisiting data-driven dynamic security assessment with a tabular foundation model Predicting Power- System Dynamic Trajectories with Foundation Models,

Reference 25

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Revisiting data-driven dynamic security assessment with a tabular foundation model Learning under Concept Drift: A Review,

Reference 26

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Observation 08ed493a-393c-4303-8710-9bfe4c2b795a · outbound

This paper cites A theory of learning from different domains,.

Revisiting data-driven dynamic security assessment with a tabular foundation model A theory of learning from different domains,

Reference 27

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Revisiting data-driven dynamic security assessment with a tabular foundation model Impossibility Theorems for Domain Adaptation,

Reference 28

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Revisiting data-driven dynamic security assessment with a tabular foundation model Accurate predictions on small data with a tabular foundation model,

Reference 29

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Revisiting data-driven dynamic security assessment with a tabular foundation model Language Models are Few-Shot Learners,

Reference 30

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Revisiting data-driven dynamic security assessment with a tabular foundation model Bikash and C

Reference 31

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This paper cites From Optimization-Based Machine Learning to Interpretable Security Rules for Operation,.

Revisiting data-driven dynamic security assessment with a tabular foundation model From Optimization-Based Machine Learning to Interpretable Security Rules for Operation,

Reference 32

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This paper cites A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment,.

Revisiting data-driven dynamic security assessment with a tabular foundation model A Confidence-Aware Machine Learning Framework for Dynamic Security Assessment,

Reference 33

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