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Paper Citation Record · LEDGER

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation

As of 23 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2505.09012.

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

pith.paper-citation-record.v1
2505.09012 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:46:53.545461Z

measured 20 of 20 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

20 of 20 outbound references displayed

  • verified exact2
  • verified fuzzy3
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5909be20-12c3-41fa-942e-cec8d808c00d · outbound

This paper cites Cascading failure prediction in power grid using node and edge attributed graph neural networks.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Cascading failure prediction in power grid using node and edge attributed graph neural networks

Reference 1

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unresolved
no resolver link, observed 2026-08-15T21:46:53.436557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.436557Z digest=sha256:cb4a32c31dbc747f4ed633b71363ac01422b89f06636748a169a3e3d943320eb

Observation f49bc386-639b-4347-a6f9-99aef815d074 · outbound

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

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Mitigation of cascading outages using a dynamic interaction graph-based optimal power flow model

Reference 2

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unresolved
no resolver link, observed 2026-08-15T21:46:53.442725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.442725Z digest=sha256:a494668975e5b7f818345dabc9280ba0be991317385b2406b1791b03a079fe54

Observation 1a6dc9aa-04a2-498b-ad06-b823e473792e · outbound

This paper cites A critical review of cascading failure analysis and modeling of power system.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation A critical review of cascading failure analysis and modeling of power system

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-15T21:46:54.644379Z

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.

source=arxiv_source observed=2026-08-15T21:46:53.448730Z digest=sha256:52f0a5de0bdd116499a7bf14b008ffae136e90900700f63af5117e7779230017

Observation 1b87199a-4e99-4a81-a77f-5a667cabf5c2 · outbound

This paper cites Analysis and mitigation of cascading outages using an interaction graph addressing transient stability.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Analysis and mitigation of cascading outages using an interaction graph addressing transient stability

Reference 4

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unresolved
no resolver link, observed 2026-08-15T21:46:53.454732Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.454732Z digest=sha256:22b6674da418be788769fd539d171ed8689f6bcdb6ed679b444fb9b6b9dedbba

Observation f703aa45-9218-4683-b468-207a743fdca2 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-08-15T21:46:53.459849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.459849Z digest=sha256:31edf3d67257356f469db1fbc8fab8dcf9059504080fe43e03687232bcc2dd08

Observation f88ce9b0-1e87-450c-a7ea-5b6e32bff6df · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Unresolved cited work

Reference 6

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unresolved
no resolver link, observed 2026-08-15T21:46:53.465331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.465331Z digest=sha256:ac22ff1f3bfda267ca3a45730a8d27ad0216110a4cb870d90704873417c04578

Observation 732103ed-8d13-4906-8d65-720c20549441 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Unresolved cited work

Reference 7

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no resolver link, observed 2026-08-15T21:46:53.471413Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.471413Z digest=sha256:f6e9450094c6298dc71fa89a92532a548a81e536d355ffd605c306032fa2f21a

Observation 7890bb45-c364-4fd4-835b-97f1bcec6fbd · outbound

This paper cites Cascading failure propagation and mitigation strategies in power systems.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Cascading failure propagation and mitigation strategies in power systems

Reference 8

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unresolved
no resolver link, observed 2026-08-15T21:46:53.476951Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.476951Z digest=sha256:67123af713ae6073fce37d3c9f65ed1c25e50d699c51dbc0325c5c5479395eaf

Observation 75e7a099-dd47-43e4-a649-e9ff37b2ace2 · outbound

This paper cites Continuous control with deep reinforcement learning.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Continuous control with deep reinforcement learning

Reference 9

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no resolver link, observed 2026-08-15T21:46:53.481980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.481980Z digest=sha256:f3208af802b1910ee1f3c08d4286e768f5a5826a75c0c269bfe8ed4c648e848b

Observation 0a32a6cb-cdc0-4f04-8437-b884680b4158 · outbound

This paper cites Cascading failure model of cyber-physical power systems considering overloaded edges.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Cascading failure model of cyber-physical power systems considering overloaded edges

Reference 10

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unresolved
no resolver link, observed 2026-08-15T21:46:53.487751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.487751Z digest=sha256:4f0ea6b85869fecaf337dd3c06dbc4b91f9150a2f4e075b7fbaf3dcc9e79ceb4

Observation a1668cc2-f56f-402d-8c0c-05eb98f56aae · outbound

This paper cites Asynchronous Methods for Deep Reinforcement Learning.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Asynchronous Methods for Deep Reinforcement Learning

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.493674Z digest=sha256:b2c7a8fdb2c827ccdd91fa9453aca2c8be54d5c9d1e1d86eb79206697024f2f2

Observation 25db410a-9951-48ca-b40c-95b5b2fb5a21 · outbound

This paper cites Estimating the propagation of interdependent cascading outages with multi-type branching processes.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Estimating the propagation of interdependent cascading outages with multi-type branching processes

Reference 12

Resolution
metadata mismatch
raw_fallback, observed 2026-08-15T21:46:53.977886Z

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.

source=arxiv_source observed=2026-08-15T21:46:53.499840Z digest=sha256:85ca3d61b9b0c2395dc2a5a7a49ada345f4a35fe8020474ee5a3b312d989fcae

Observation 7a9e2a89-1cf6-4ee5-b6b1-8f8acdaef614 · outbound

This paper cites Resp: A real-time early stage prediction mechanism for cascading failures in smart grid systems.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Resp: A real-time early stage prediction mechanism for cascading failures in smart grid systems

Reference 13

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unresolved
no resolver link, observed 2026-08-15T21:46:53.506138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.506138Z digest=sha256:bc886128955729cf8977317a7fcae385b80ce88961d85d5afd0a629b7d6274a9

Observation c94b0cef-a417-4863-9e43-c53381592295 · outbound

This paper cites A comparative study of data-driven power grid cascading failure prediction methods.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation A comparative study of data-driven power grid cascading failure prediction methods

Reference 14

Resolution
verified exact
raw_fallback, observed 2026-08-15T21:46:53.817757Z

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.

source=arxiv_source observed=2026-08-15T21:46:53.511709Z digest=sha256:2a370054cf70d5b257d37f9cd781c7564b7688d647e3c3f5ea9bf035ec8e4960

Observation 8b53f470-3aea-4440-8376-b374569ec5e7 · outbound

This paper cites Real-time excitation control-based voltage regulation using ddpg considering system dynamic performance.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Real-time excitation control-based voltage regulation using ddpg considering system dynamic performance

Reference 15

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unresolved
no resolver link, observed 2026-08-15T21:46:53.517348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.517348Z digest=sha256:647cdcbab834a06bd4a903829b9fda806036a2c8bfb6ef8b5516192fcc47765a

Observation f2b97a7b-d557-46f4-bcaf-adf71f4a68c0 · outbound

This paper cites Power system resilience assessment considering the occurrence of cascading failures.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Power system resilience assessment considering the occurrence of cascading failures

Reference 16

Resolution
verified exact
raw_fallback, observed 2026-08-15T21:46:53.660808Z

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.

source=arxiv_source observed=2026-08-15T21:46:53.523670Z digest=sha256:72b46b7cace194503dc82d6f7f79b0c45fef1eaa0498fa957f64e0976021d3a7

Observation bdef7e4a-9fb7-4269-9565-b41057891734 · outbound

This paper cites Power grid cascading failure mitigation by reinforcement learning.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Power grid cascading failure mitigation by reinforcement learning

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:54.623617Z

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.

source=arxiv_source observed=2026-08-15T21:46:53.528748Z digest=sha256:74dec82d7b968f3794e794dec898cd038158c72767602febe6bb307a1bc3886c

Observation c1cb7832-4e57-42ec-a8fa-7e0b3a27f60e · outbound

This paper cites @esa (Ref.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation @esa (Ref

Reference 18

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.533812Z digest=sha256:b8b841e8ac83d2b5a815e5e34401fae4de0403821e7f8c1a2d4744a35b20832a

Observation bf3cec22-ae69-471c-85d4-0ec6edc1f837 · outbound

This paper cites an unresolved cited work.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation Unresolved cited work

Reference 19

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unresolved
no resolver link, observed 2026-08-15T21:46:53.540092Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:46:53.540092Z digest=sha256:1b0d36baa148da69e472b0787122e280b4f220871767c39e79b10d6fcbcf68fd

Observation 0227476d-cad3-4ab4-a32b-e2149ce283a4 · outbound

This paper cites @ T#`*5s;<F._V -?/Ku? Ւp T L`n֋hH,8 A Gݭ ! kViK f, *KO;IgRf ЀQ5Oߍ ,up4 pxP xzJq>a [ M gΫ 8 *o |c t Uh#n; ^H ҉3; = T Ã |?/ a ЉӔ ?K36 ' lƃ[ \@ < i!ʠ4oT^&aÔ V H. =No ^'ַ/F C_[ TAG ,.

Deep Reinforcement Learning for Power Grid Multi-Stage Cascading Failure Mitigation @ T#`*5s;<F._V -?/Ku? Ւp T L`n֋hH,8 A Gݭ ! kViK f, *KO;IgRf ЀQ5Oߍ ,up4 pxP xzJq>a [ M gΫ 8 *o |c t Uh#n; ^H ҉3; = T Ã |?/ a ЉӔ ?K36 ' lƃ[ \@ < i!ʠ4oT^&aÔ V H. =No ^'ַ/F C_[ TAG ,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:46:54.579401Z

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.

source=arxiv_source observed=2026-08-15T21:46:53.545461Z digest=sha256:58a1c26576489ed449607850a0005312bf67214ff5b936b1df6ad4172d8924dd

Pith citing papers

No inbound Pith citation observations are available.