Paper Citation Record · LEDGER

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning

As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:1908.06599.

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

pith.paper-citation-record.v1
1908.06599 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:44:57.712574Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

21 of 21 outbound references displayed

verified exact0
verified fuzzy19
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 87ca9d07-f6e6-44bb-9cb8-3f01bf4c84a3 · outbound

This paper cites an unresolved cited work.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:44:58.598562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 097d7443-1319-4443-a098-e12223b22ad2 · outbound

This paper cites environment.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning environment

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.566698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4d7822ac-fd5f-4555-b122-fccfdc0b6062 · outbound

This paper cites firstly a “value” Q(s,a) is constructed concretely (e.g.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning firstly a “value” Q(s,a) is constructed concretely (e.g

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.533053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 34051ce5-ce2c-4442-9b6b-90f070d46544 · outbound

This paper cites discount factor.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning discount factor

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.488948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9919fc7-8845-4ae1-b113-d348c43c668c · outbound

This paper cites Optimal and autonomous control using reinforcement learning: a survey,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Optimal and autonomous control using reinforcement learning: a survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.008203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b61e7d64-5b14-45b5-a13f-bd4257e802f4 · outbound

This paper cites an unresolved cited work.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T12:44:58.388807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c44b4b6b-1f81-4276-8e21-77e4114d4016 · outbound

This paper cites branch flow limit.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning branch flow limit

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.351155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6304ab14-2a59-4505-b79f-7ad143447e38 · outbound

This paper cites lines and transformers) are chosen and packed as the state in the RL learning framework, i.e.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning lines and transformers) are chosen and packed as the state in the RL learning framework, i.e

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.313499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8d754eb8-3031-4bab-ba9e-d8b44a445c83 · outbound

This paper cites Generation.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Generation

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.284650Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 74926e10-2f08-45ca-ae7d-13577c942a7e · outbound

This paper cites In this paper, a DRL approach, similar to the original DQN but with a simplified training procedure is adopted in the mitigation of cascading failures.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning In this paper, a DRL approach, similar to the original DQN but with a simplified training procedure is adopted in the mitigation of cascading failures

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.456111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6bd934d3-c5ec-4c7c-a422-fcb390a586ba · outbound

This paper cites One example of such encoded “images” for the input state is shown in Fig.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning One example of such encoded “images” for the input state is shown in Fig

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.255160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8e294c21-3b7f-42ff-8a50-aab2f364c077 · outbound

This paper cites ε-greedy.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning ε-greedy

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.216902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6aa32b79-ad47-4863-9701-e5dee1c49e25 · outbound

This paper cites Modeling the dynamics of cascading failures in power systems,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Modeling the dynamics of cascading failures in power systems,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.168371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 582a48d0-48dc-4783-a58a-0810ee050144 · outbound

This paper cites Modeling cascading failures in the North American power grid,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Modeling cascading failures in the North American power grid,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.131560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f15a6be8-dd74-4fc0-a8cc-e6333e91d2a1 · outbound

This paper cites Lu and P.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Lu and P

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.092744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 243798ab-d6ac-4398-a999-6c6cdb8b9c80 · outbound

This paper cites Modeling cascading failures and mitigation strategies in PMU based cyber-physical power systems,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Modeling cascading failures and mitigation strategies in PMU based cyber-physical power systems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:58.041299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3c87dd42-a373-4ee6-bf55-c30af7265107 · outbound

This paper cites Reinforcement learning for reactive power control,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Reinforcement learning for reactive power control,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:57.981432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7928bb02-d2f8-4a82-a0bf-6310c703e72b · outbound

This paper cites Distributed reinforcement learning to coordinate current sharing and voltage restoration for islanded DC microgrid,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Distributed reinforcement learning to coordinate current sharing and voltage restoration for islanded DC microgrid,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:57.926813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1f6a9b30-7659-4d90-9eef-489ca03762e5 · outbound

This paper cites Image embedding of PMU data for deep learning towards transient disturbance classification,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Image embedding of PMU data for deep learning towards transient disturbance classification,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:57.869949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2fd32b5d-d8cc-48c6-84ce-70afdf78edf3 · outbound

This paper cites Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Multi-Step Short-Term Power Consumption Forecasting with a Hybrid Deep Learning Strategy,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:57.834237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 973739fe-1ad1-48b9-9a41-7e0fbd0c05a1 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Mitigating Multi-Stage Cascading Failure by Reinforcement Learning Human-level control through deep reinforcement learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:44:57.802665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.