Paper Citation Record · LEDGER

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning

As of 23 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2506.08893.

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

pith.paper-citation-record.v1
2506.08893 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:45.557180Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

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.

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

33 of 33 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 399d950a-104b-402c-a60e-c59804af3a1a · outbound

This paper cites Initial review of methods for cascading failure analysis in electric power transmission systems,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Initial review of methods for cascading failure analysis in electric power transmission systems,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:46.108846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8f59fea5-ff4d-4d82-94a6-9179e088b677 · outbound

This paper cites Large blackouts in North America: Historical trends and policy implications,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Large blackouts in North America: Historical trends and policy implications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:46.092907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 572960b5-7d2c-41fc-9a37-342b2bd5d7c7 · outbound

This paper cites North American blackout time series statistics and implications for blackout risk,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning North American blackout time series statistics and implications for blackout risk,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:46.076855Z

Source-reported events for the cited work

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Observation f7fc4a55-bc3d-49ce-b681-c9e346929c5b · outbound

This paper cites Observed acceleration of cascading outages,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Observed acceleration of cascading outages,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:46.062204Z

Source-reported events for the cited work

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Observation a14736cb-e7a7-4715-a344-4872fd789b36 · outbound

This paper cites Cascading power outages propagate locally in an influence graph that is not the actual grid topology,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Cascading power outages propagate locally in an influence graph that is not the actual grid topology,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:46.046115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9671d19e-2f96-4dfb-aa6d-f383dc6c6fe5 · outbound

This paper cites An interaction model for simulation and mitigation of cascading failures,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning An interaction model for simulation and mitigation of cascading failures,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:46.030699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ce9f8b02-7946-4324-b875-1c54b87506b8 · outbound

This paper cites A Markovian influence graph formed from utility line outage data to mitigate large cascades,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning A Markovian influence graph formed from utility line outage data to mitigate large cascades,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:46.012898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a61a4d79-9a4a-453c-b0b2-d5fcba8d5bca · outbound

This paper cites Interaction graphs for cascading failure analysis in power grids: A survey,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Interaction graphs for cascading failure analysis in power grids: A survey,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.994287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 265817d5-d62c-4621-bdb2-99786995d330 · outbound

This paper cites Can the Markovian influence graph simulate cascading resilience from historical outage data?.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Can the Markovian influence graph simulate cascading resilience from historical outage data?

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.976014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 84e07967-67d0-45a4-931b-e5488fa8b38b · outbound

This paper cites Fast screening of vulnerable transmission lines in power grids: A pagerank-based approach,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Fast screening of vulnerable transmission lines in power grids: A pagerank-based approach,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.960597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 94b60ea3-5d2a-4842-af67-8ecb217ff990 · outbound

This paper cites Stochastic analysis of cascading-failure dynamics in power grids,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Stochastic analysis of cascading-failure dynamics in power grids,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.942770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 87048029-c9d8-4d6a-a83d-975f0e657b83 · outbound

This paper cites Cascading failures in inter- dependent infrastructures: An interdependent Markov-chain approach,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Cascading failures in inter- dependent infrastructures: An interdependent Markov-chain approach,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.927300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ff1a120-fede-4e06-9c37-c3dcbbf20130 · outbound

This paper cites Impacts of opera- tors’ behavior on reliability of power grids during cascading failures,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Impacts of opera- tors’ behavior on reliability of power grids during cascading failures,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.911823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4e99f54-00b8-41c5-92cf-adf83d66afd9 · outbound

This paper cites Analysis and Mitigation of Cascading Failures Using a Stochastic Interaction Graph with Eigen-analysis,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Analysis and Mitigation of Cascading Failures Using a Stochastic Interaction Graph with Eigen-analysis,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.897568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9c168d1b-a677-45c7-891d-9e10f1901e23 · outbound

This paper cites Mitigation of Cascading Outages by Breaking Inter-Regional Linkages in the Interaction Graph,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Mitigation of Cascading Outages by Breaking Inter-Regional Linkages in the Interaction Graph,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.883015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f8a8c381-ffc3-4291-ac3e-2bc45fc249b0 · outbound

This paper cites Mitigation of cascading outages using a dynamic interaction graph-based optimal power flow model,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Mitigation of cascading outages using a dynamic interaction graph-based optimal power flow model,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.867956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a4c80da4-aa11-4701-a783-0ecb498564df · outbound

This paper cites Adaptive Power System Emergency Control Using Deep Reinforcement Learn- ing,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Adaptive Power System Emergency Control Using Deep Reinforcement Learn- ing,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.852353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f6eb6ae5-8060-4164-a76c-2ca1d8e88080 · outbound

This paper cites Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Learning and Fast Adaptation for Grid Emergency Control via Deep Meta Reinforcement Learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.834623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6714b9e8-b8cc-4ff6-bccc-1c0fb943921f · outbound

This paper cites An Online Search Method for Representative Risky Fault Chains Based on Reinforcement Learning and Knowledge Transfer,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning An Online Search Method for Representative Risky Fault Chains Based on Reinforcement Learning and Knowledge Transfer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.815731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cdc9c457-24d4-4a3e-b5f9-4b626b083d13 · outbound

This paper cites Mitigating cascading failures in power grids via markov decision- based load-shedding with dc power flow model,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Mitigating cascading failures in power grids via markov decision- based load-shedding with dc power flow model,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.797664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7268b04-22d8-4d3f-ae31-064f1c9e059b · outbound

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

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Mitigating cascading failure in power grids with deep reinforcement learning-based remedial actions,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.779617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bf7522be-30d2-4dca-8f57-c39fb1b66e19 · outbound

This paper cites Complex systems analysis of series of blackouts: Cascading failure, critical points, and self-organization,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Complex systems analysis of series of blackouts: Cascading failure, critical points, and self-organization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.764620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c1f648a9-034b-40ba-a7d0-0fc29190f98e · outbound

This paper cites A “Random Chemistry.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning A “Random Chemistry

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.750985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cc420e84-1ff4-43ec-9628-7fa629ddd2e4 · outbound

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

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning pandapower—an open-source python tool for convenient modeling, analysis, and optimization of electric power systems,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.734173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 086f61e6-fc8e-43cb-8f33-b4da2cc1ac7d · outbound

This paper cites an unresolved cited work.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Unresolved cited work

Reference 25

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Source-reported events for the cited work

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Observation 696a512f-0e0b-4020-be01-3834dc0c62f4 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Proximal Policy Optimization Algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:45.525108Z

Source-reported events for the cited work

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Observation 2f85444b-6fe2-49ff-b950-d15ca303b31d · outbound

This paper cites A closer look at invalid action masking in policy gradient algorithms,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning A closer look at invalid action masking in policy gradient algorithms,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T05:04:45.529807Z

Source-reported events for the cited work

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Observation 423ee519-3c7d-4266-835b-fae2e0612594 · outbound

This paper cites A methodology to generate statistically dependent wind speed scenarios,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning A methodology to generate statistically dependent wind speed scenarios,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.707632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 62ff925f-261c-43bc-bef7-f2096a716de6 · outbound

This paper cites Gaussian Mixture Model Uncertainty Modeling for Power Systems Considering Mutual Assistance of Latent Variables,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Gaussian Mixture Model Uncertainty Modeling for Power Systems Considering Mutual Assistance of Latent Variables,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.689129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a0674d8c-1dfa-4fa2-bdd8-525c98fa4385 · outbound

This paper cites Model-Free Renewable Scenario Generation Using Generative Adversarial Networks,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Model-Free Renewable Scenario Generation Using Generative Adversarial Networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.673691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 51adb900-6ce7-4f6f-b70e-710ba1b49630 · outbound

This paper cites The Most Frequent N-K Line Outages Occur in Motifs That Can Improve Contingency Selection,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning The Most Frequent N-K Line Outages Occur in Motifs That Can Improve Contingency Selection,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.658952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a679ebc3-04a0-4c76-a8fa-fd5be3eeb2f4 · outbound

This paper cites Stable-baselines3: Reliable re- inforcement learning implementations,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Stable-baselines3: Reliable re- inforcement learning implementations,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.642748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 509750f6-6c64-42ca-8f49-5ba2b4aa6b4e · outbound

This paper cites Grid2op - A testbed platform to model sequential decision making in power systems,.

Real-Time Cascade Mitigation in Power Systems Using Influence Graph Improved by Reinforcement Learning Grid2op - A testbed platform to model sequential decision making in power systems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:04:45.624903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

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