Paper Citation Record · LEDGER

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids

As of 19 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2607.16004.

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

pith.paper-citation-record.v1
2607.16004 v1

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T21:40:24.567387Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

25 of 25 outbound references displayed

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External citation measurements

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Outbound references

Observation b74e8420-4556-4fa3-9b30-d7c79191e24d · outbound

This paper cites A review of congestion management methods for power distribution networks: Current practices and future challenges,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids A review of congestion management methods for power distribution networks: Current practices and future challenges,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:21.443883Z

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Observation 6dcb2a2c-7608-4d8d-bb33-fc092f045725 · outbound

This paper cites State-of-the-art, challenges, and future trends in security constrained optimal power flow,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids State-of-the-art, challenges, and future trends in security constrained optimal power flow,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:21.570056Z

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Observation 9c70826f-3322-4e30-8a80-fadea1efed97 · outbound

This paper cites History of optimal power flow and formulations,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids History of optimal power flow and formulations,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:21.696168Z

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Observation facc850c-9494-4ebd-bed6-238920b95c00 · outbound

This paper cites Strong NP-hardness of AC power flows feasibility,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Strong NP-hardness of AC power flows feasibility,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:21.851993Z

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Observation 5089de2e-b48b-4c80-90a5-9e305422c015 · outbound

This paper cites Robustness assessment of primal–dual gradient projection-based online feedback optimization for real-time distribution grid management,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Robustness assessment of primal–dual gradient projection-based online feedback optimization for real-time distribution grid management,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:22.050018Z

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Observation ed07b39e-f16d-4e1e-a9f1-49807a9ec0d8 · outbound

This paper cites Optimal power flow in a highly renewable power system based on attention neural networks,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Optimal power flow in a highly renewable power system based on attention neural networks,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:22.218080Z

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Unavailable: canonical work link unavailable.

Observation acafb7dc-0247-450c-bc9e-51b7ff20b6c8 · outbound

This paper cites RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids RL2Grid: Benchmarking Reinforcement Learning in Power Grid Operations

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:22.384184Z

Source-reported events for the cited work

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Observation a1c93b68-7a8d-4d36-ac60-8634709c961a · outbound

This paper cites Constrained policy optimization,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Constrained policy optimization,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:22.546420Z

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Observation 32cd7adb-e7c8-42a6-8886-521ad785c563 · outbound

This paper cites Deep reinforcement learning based approach for optimal power flow of distribution networks embedded with renewable energy and storage devices,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Deep reinforcement learning based approach for optimal power flow of distribution networks embedded with renewable energy and storage devices,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:22.701587Z

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Unavailable: canonical work link unavailable.

Observation 3f86f5b0-6abe-4595-a3f7-9f451b4b92ec · outbound

This paper cites Real-time optimal power flow: A lagrangian based deep reinforcement learning approach,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Real-time optimal power flow: A lagrangian based deep reinforcement learning approach,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:22.814222Z

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Observation 216acbd6-3fdd-4cf6-bda9-4d891dfc9ebe · outbound

This paper cites Constrained reinforcement learn- ing for stochastic dynamic optimal power flow control,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Constrained reinforcement learn- ing for stochastic dynamic optimal power flow control,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:22.934349Z

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Observation 0c230554-ed80-468b-b9ba-4e2b9e2b3d22 · outbound

This paper cites Feasibility constrained online calculation for real-time optimal power flow: A convex con- strained deep reinforcement learning approach,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Feasibility constrained online calculation for real-time optimal power flow: A convex con- strained deep reinforcement learning approach,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.017136Z

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Observation 19fb452f-a20b-4e01-9256-fbc852d2a31f · outbound

This paper cites Optimal operable power flow: Sample-efficient holomorphic embedding-based reinforcement learning,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Optimal operable power flow: Sample-efficient holomorphic embedding-based reinforcement learning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.089305Z

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Observation d005d73d-be82-41c8-85f5-d5fbd36362ab · outbound

This paper cites Physics-informed reinforcement learning for real-time optimal power flow with renewable energy resources,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Physics-informed reinforcement learning for real-time optimal power flow with renewable energy resources,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.210297Z

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Observation 8af9137d-6a80-4a8c-a011-a6ddbbeda03f · outbound

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

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids A data-driven method for fast ac optimal power flow solutions via deep reinforcement learning,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.379315Z

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Observation e0f00170-c19c-4554-824c-f423405dd6e2 · outbound

This paper cites Real- time sequential security-constrained optimal power flow: A hybrid knowledge-data-driven reinforcement learning approach,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Real- time sequential security-constrained optimal power flow: A hybrid knowledge-data-driven reinforcement learning approach,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.503323Z

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Observation 26b64704-7981-40f0-b896-af65e46e1173 · outbound

This paper cites End-to-end reinforcement learning of curative cur- tailment with partial measurement availability,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids End-to-end reinforcement learning of curative cur- tailment with partial measurement availability,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.621500Z

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Observation 42067061-b3f4-441c-b898-ea1c2b1ef038 · outbound

This paper cites Simbench—a benchmark dataset of electric power systems to compare innovative solutions based on power flow analysis,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Simbench—a benchmark dataset of electric power systems to compare innovative solutions based on power flow analysis,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.711543Z

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Unavailable: canonical work link unavailable.

Observation b03ef4bc-4f24-4362-b45c-d2cd0249a0ee · outbound

This paper cites Distributed learning for optimal allocation of synchronous and converter-based generation,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Distributed learning for optimal allocation of synchronous and converter-based generation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.787344Z

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Observation 49f26261-fe1a-498c-9ec2-3ad0cb47a695 · outbound

This paper cites Heterogeneous graph neural network with local and global message passing for ac-optimal power flow solutions,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Heterogeneous graph neural network with local and global message passing for ac-optimal power flow solutions,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.871620Z

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Unavailable: canonical work link unavailable.

Observation 0cb19afa-bc71-47a7-be6a-18db2696e987 · outbound

This paper cites State estimation in partially observable power systems via graph signal processing tools,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids State estimation in partially observable power systems via graph signal processing tools,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:23.973002Z

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Observation 68f0d33f-3379-4b82-bfe5-82f6673c22b8 · outbound

This paper cites Reinforcement Learning with Deep Deterministic Policy Gra- dient,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Reinforcement Learning with Deep Deterministic Policy Gra- dient,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:24.059864Z

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Observation dee05724-497b-4451-9e4e-c490afd9c1e1 · outbound

This paper cites Deep deterministic policy gradient algorithm: A systematic review,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids Deep deterministic policy gradient algorithm: A systematic review,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:24.170383Z

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Observation 35dad3a0-f827-4ab5-8d6f-3574bb87c792 · outbound

This paper cites TorchRL: A data-driven decision-making library for PyTorch,.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids TorchRL: A data-driven decision-making library for PyTorch,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:24.352589Z

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Observation 989e16e6-0de9-46e0-919e-32c97cbec383 · outbound

This paper cites PYPOWER: Power flow and optimal power flow (OPF) solver.

Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids PYPOWER: Power flow and optimal power flow (OPF) solver

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T21:40:24.567387Z

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Pith citing papers

No inbound Pith citation observations are available.