Paper Citation Record · LEDGER

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2501.12362.

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

pith.paper-citation-record.v1
2501.12362 v1

Coverage vector

measured 34 of 34 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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

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Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation 39f38f24-e8c6-4534-95eb-33bc9da78f94 · outbound

This paper cites Power system resilience: Current practices, challenges, and future directions,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Power system resilience: Current practices, challenges, and future directions,

Reference 2

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Observation db2fe00a-b537-46f1-834d-e8477b9db4bb · outbound

This paper cites Enabling systems engineers and program managers to select the most useful assessment methods,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Enabling systems engineers and program managers to select the most useful assessment methods,

Reference 3

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Observation bab1a69e-f2c0-42d9-b62d-bebdaae30b85 · outbound

This paper cites Cyber resiliency metrics and scoring in practice,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Cyber resiliency metrics and scoring in practice,

Reference 4

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Observation 0a373d52-6f58-4225-a142-bf6526cfd79b · outbound

This paper cites Resilience metrics for cyber systems,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Resilience metrics for cyber systems,

Reference 5

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Observation 1f5e8469-0da8-4df0-b92f-004f7475caec · outbound

This paper cites Cp-tram: Cyber-physical transmission resiliency assessment metric,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Cp-tram: Cyber-physical transmission resiliency assessment metric,

Reference 6

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Observation 00f01268-fbec-4092-a5af-2bb3aa7a7126 · outbound

This paper cites CP-SAM: Cyber- physical security assessment metric for monitoring microgrid resiliency,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning CP-SAM: Cyber- physical security assessment metric for monitoring microgrid resiliency,

Reference 7

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Observation 3a6e17d4-6f39-4237-ac12-6934361e9837 · outbound

This paper cites Scalabil- ity in Multiobjective Optimization (Dagstuhl Seminar 20031),.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Scalabil- ity in Multiobjective Optimization (Dagstuhl Seminar 20031),

Reference 8

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Observation 9004d74a-3834-4147-b176-ff0d1a6745d7 · outbound

This paper cites Reinforcement Learning for Feedback-Enabled Cyber Resilience.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Reinforcement Learning for Feedback-Enabled Cyber Resilience

Reference 9

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Observation 44bccfd9-b01b-4e90-8a97-a336bcd2be46 · outbound

This paper cites To improve cyber resilience, measure it,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning To improve cyber resilience, measure it,

Reference 10

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Observation 18fa9582-0d06-4c57-b4f8-ebc300909788 · outbound

This paper cites Metrics and quantification of operational and infrastruc- ture resilience in power systems,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Metrics and quantification of operational and infrastruc- ture resilience in power systems,

Reference 11

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Observation 4a172ae2-bff8-49b5-bd11-79ef7572dd07 · outbound

This paper cites Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Microgrids as a resilience resource and strategies used by microgrids for enhancing resilience,

Reference 12

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Observation 8576811b-3204-4cc8-b84a-1bb499eed331 · outbound

This paper cites Resilient scheduling of networked microgrids against real-time fail- ures,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Resilient scheduling of networked microgrids against real-time fail- ures,

Reference 13

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Observation cc12dd14-49b0-490b-8281-7bcfa765222a · outbound

This paper cites Quantitative analysis of power systems resilience: Standardization, categorizations, and challenges,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Quantitative analysis of power systems resilience: Standardization, categorizations, and challenges,

Reference 14

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Observation ead738d7-05a9-4ed0-b47d-1e02eb068438 · outbound

This paper cites Quantifying the system-level resilience of thermal power generation to extreme temper- atures and water scarcity,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Quantifying the system-level resilience of thermal power generation to extreme temper- atures and water scarcity,

Reference 15

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Observation 4f4af1bc-2069-49c0-8402-7f69bb4b0263 · outbound

This paper cites Optimizing dynamics of integrated food–energy–water systems under the risk of climate change,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Optimizing dynamics of integrated food–energy–water systems under the risk of climate change,

Reference 16

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Observation 605dba27-b605-42ff-a685-8f3c31fd843b · outbound

This paper cites Performance- based cyber resilience metrics: An applied demonstration toward moving target defense,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Performance- based cyber resilience metrics: An applied demonstration toward moving target defense,

Reference 17

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Observation 03e32a6d-1781-406b-b3e6-859305175341 · outbound

This paper cites Resilience of cyber-physical systems: an experimental appraisal of quantitative measures,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Resilience of cyber-physical systems: an experimental appraisal of quantitative measures,

Reference 18

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Observation e5f01307-ef3e-47dc-96c4-f98794387b57 · outbound

This paper cites To- wards a resilience metric framework for cyber-physical systems,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning To- wards a resilience metric framework for cyber-physical systems,

Reference 19

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Observation 890b226f-6542-46b6-81ef-d1dadb4dd398 · outbound

This paper cites Emotional deep learning programming controller for automatic voltage control of power systems,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Emotional deep learning programming controller for automatic voltage control of power systems,

Reference 20

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Observation 3d973430-6a2d-4cde-885c-a35a329fa98c · outbound

This paper cites A data-driven method for fast ac optimal power flow solutions via deep reinforcement learning,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning A data-driven method for fast ac optimal power flow solutions via deep reinforcement learning,

Reference 21

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Observation defb83a3-d461-4b25-ab74-946f81b6a335 · outbound

This paper cites Online learning and distributed control for residential demand response,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Online learning and distributed control for residential demand response,

Reference 22

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Observation 9557f815-7d49-4ece-82bd-c1d59cad941b · outbound

This paper cites Self-organizing map-based resilience quan- tification and resilient control of distribution systems under extreme events,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Self-organizing map-based resilience quan- tification and resilient control of distribution systems under extreme events,

Reference 23

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Observation fc5e325e-0bae-4754-a913-dbd10ca123b9 · outbound

This paper cites Reinforcement learning environment for cyber-resilient power distribution system,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Reinforcement learning environment for cyber-resilient power distribution system,

Reference 24

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Observation e6beead0-4d8c-4de7-855e-ba954f0f8f45 · outbound

This paper cites An irl approach for cyber-physical attack intention prediction and recovery,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning An irl approach for cyber-physical attack intention prediction and recovery,

Reference 25

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Observation a7eb938e-eb79-4711-a9f6-0c47b439680c · outbound

This paper cites A survey of inverse reinforcement learning,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning A survey of inverse reinforcement learning,

Reference 26

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Observation 47025f2b-10f4-436e-8861-5fbef3b4ff4c · outbound

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ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Bayesian inverse reinforcement learn- ing,

Reference 27

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Observation 6adc7a49-1335-4193-bf75-930ef71633b8 · outbound

This paper cites A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning A Reduction of Imitation Learning and Structured Prediction to No-Regret Online Learning

Reference 28

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ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Generative Adversarial Imitation Learning

Reference 29

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Observation 1f792156-f2ce-462c-90b2-a76bc77e93f2 · outbound

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ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Learning Robust Rewards with Adversarial Inverse Reinforcement Learning

Reference 30

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This paper cites ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning,

Reference 31

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Observation d5233994-24e5-4d7c-acb5-dbd1588cd8c9 · outbound

This paper cites Distribution system restoration with microgrids using spanning tree search,.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Distribution system restoration with microgrids using spanning tree search,

Reference 32

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Observation 501df63e-7a37-4511-b49b-f68ffcb70faa · outbound

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ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Con- vex neural networks,

Reference 33

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ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Unresolved cited work

Reference 2011

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This paper cites Available: https://doi.org/10.1088/1748-9326/ab2104.

ARM-IRL: Adaptive Resilience Metric Quantification Using Inverse Reinforcement Learning Available: https://doi.org/10.1088/1748-9326/ab2104

Reference 2019

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Pith citing papers

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