Paper Citation Record · LEDGER

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features

As of 9 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.17031.

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

pith.paper-citation-record.v1
2607.17031 v1

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:16:00.551909Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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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verified fuzzy0
unresolved33
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External citation measurements

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Outbound references

Observation 7f8f128b-6a77-458c-aaa8-4cca51530e13 · outbound

This paper cites Security-constrained unit commitment for electricity market: Modeling, solution methods, and future challenges,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Security-constrained unit commitment for electricity market: Modeling, solution methods, and future challenges,

Reference 1

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Observation 12ba4ce5-770c-4755-b130-11046c03f9d5 · outbound

This paper cites Machine learning approaches to the unit commitment problem: Current trends, emerging challenges, and new strategies,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Machine learning approaches to the unit commitment problem: Current trends, emerging challenges, and new strategies,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:57.526794Z

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Observation 2bf6b95b-3de2-4769-9442-cd9bd69fa818 · outbound

This paper cites Learning to solve large-scale security-constrained unit commitment problems,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Learning to solve large-scale security-constrained unit commitment problems,

Reference 3

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Observation bf6607dd-3e8f-4996-8bbe-02d08ebe3ec9 · outbound

This paper cites Is learning for the unit commitment problem a low-hanging fruit?.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Is learning for the unit commitment problem a low-hanging fruit?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:57.696588Z

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Observation f65f5bb1-28d8-4d6e-a146-bae368d07547 · outbound

This paper cites Deep reinforcement learning explanation-assisted integer variable reduction method for security-constrained unit commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Deep reinforcement learning explanation-assisted integer variable reduction method for security-constrained unit commitment,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:57.786552Z

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Observation 0549d6ec-703d-4732-9ab8-2e1139ebfd22 · outbound

This paper cites Feasibility-guaranteed machine learning unit commitment: Fuzzy optimization approaches,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Feasibility-guaranteed machine learning unit commitment: Fuzzy optimization approaches,

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:57.932327Z

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Observation 6349f19b-6f92-433a-a364-c50dc51d7f9a · outbound

This paper cites Structure-Aware Commitment Reduction for Network-Constrained Unit Commitment with Solver-Preserving Guarantees.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Structure-Aware Commitment Reduction for Network-Constrained Unit Commitment with Solver-Preserving Guarantees

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.035154Z

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Observation 07810a11-af97-434b-af27-a544bec149df · outbound

This paper cites Successive fixing for large-scale security-constrained unit commitment using first-order methods,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Successive fixing for large-scale security-constrained unit commitment using first-order methods,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.141339Z

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Observation f75d4674-0d23-461a-ad86-687da4751e14 · outbound

This paper cites Applying reinforcement learning and tree search to the unit commitment problem,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Applying reinforcement learning and tree search to the unit commitment problem,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.211836Z

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Observation eeff24ed-5221-4b07-ac53-96ecb1a82ef4 · outbound

This paper cites Reinforcement learning and A* search for the unit commitment problem,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Reinforcement learning and A* search for the unit commitment problem,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.279360Z

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Observation c6d98115-febc-4260-a6e3-ab2a4b39dcad · outbound

This paper cites An optimization method-assisted ensemble deep reinforce- ment learning algorithm to solve unit commitment problems,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features An optimization method-assisted ensemble deep reinforce- ment learning algorithm to solve unit commitment problems,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.363787Z

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Observation 02a5d51d-c179-4f01-bba3-8464fdb0532c · outbound

This paper cites Deep reinforcement learning-assisted convex programming for AC unit commitment and its variants,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Deep reinforcement learning-assisted convex programming for AC unit commitment and its variants,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.552681Z

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Observation 0c32908b-ee39-43a6-aee9-4874f7701d16 · outbound

This paper cites Deep reinforcement learning based model-free optimization for unit commitment against wind power uncertainty,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Deep reinforcement learning based model-free optimization for unit commitment against wind power uncertainty,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.628838Z

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Observation 4d1c6d06-7a69-4951-b166-c919e073be08 · outbound

This paper cites Look-ahead unit commitment with adaptive horizon based on deep reinforcement learning,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Look-ahead unit commitment with adaptive horizon based on deep reinforcement learning,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.706358Z

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Observation 395b4551-f4ce-4177-b3a3-ca4881b16284 · outbound

This paper cites Expert knowledge data-driven based actor-critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Expert knowledge data-driven based actor-critic reinforcement learning framework to solve computationally expensive unit commitment problems with uncertain wind energy,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.782720Z

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Observation 16085065-ed52-487b-a9b7-9bd389ae2199 · outbound

This paper cites Graph reinforcement learning with auxiliary temporal- graph convolutional neural network for unit commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Graph reinforcement learning with auxiliary temporal- graph convolutional neural network for unit commitment,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:58.918661Z

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Observation 77f75384-197a-4c6d-b3ac-93d57983afbd · outbound

This paper cites Adapting quantum approximation optimization algorithm (QAOA) for unit commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Adapting quantum approximation optimization algorithm (QAOA) for unit commitment,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.042734Z

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Observation 6ddbf048-d6d7-41b2-9c4a-4feca28a33a5 · outbound

This paper cites Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.113685Z

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Observation 2799a045-407c-4ba0-b247-851a24291799 · outbound

This paper cites Novel resolution of unit commitment problems through quantum surrogate Lagrangian relaxation,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Novel resolution of unit commitment problems through quantum surrogate Lagrangian relaxation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.189594Z

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Observation 6aee5eac-93d1-47a2-b2e4-bf64c90cc405 · outbound

This paper cites A fast quantum algorithm for searching the quasi-optimal solutions of unit commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features A fast quantum algorithm for searching the quasi-optimal solutions of unit commitment,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.262412Z

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Observation 05edf046-dd93-49bb-9493-6cb271b4a3f1 · outbound

This paper cites Exact quantum algorithm for unit commitment optimization based on partially connected quantum neural networks,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Exact quantum algorithm for unit commitment optimization based on partially connected quantum neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.337251Z

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Observation 4c1d98cb-b05b-49d1-90b7-410e6754b727 · outbound

This paper cites Quantum reinforcement learning based two-stage unit commitment with integration of virtual power plants and renewable energy,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Quantum reinforcement learning based two-stage unit commitment with integration of virtual power plants and renewable energy,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.428327Z

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Observation e34e3adb-eb5c-4839-aac7-e07c463d2662 · outbound

This paper cites A new hybrid quantum-classical algorithm for solving the unit commitment problem,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features A new hybrid quantum-classical algorithm for solving the unit commitment problem,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.494622Z

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Observation bd29a708-e9e5-4730-8cb0-f153c7f71329 · outbound

This paper cites D 2-UC: A distributed-distributed quantum-classical framework for unit commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features D 2-UC: A distributed-distributed quantum-classical framework for unit commitment,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.583647Z

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Observation 8a9cdd01-d9d5-44fe-a19e-022f48b6042f · outbound

This paper cites Leveraging quantum comput- ing for accelerated classical algorithms in power systems optimization,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Leveraging quantum comput- ing for accelerated classical algorithms in power systems optimization,

Reference 25

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Observation a3949b78-0313-4bb7-9fa5-e9dd3510d4b2 · outbound

This paper cites A survey on applications of quantum computing for unit commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features A survey on applications of quantum computing for unit commitment,

Reference 26

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Observation 0a7cbb0f-fffe-4080-be34-af68f80caf94 · outbound

This paper cites QHSAC-Unit- Commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features QHSAC-Unit- Commitment,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.889264Z

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Observation 9029c5de-b3fd-4321-a755-e3fa7984a2fe · outbound

This paper cites UnitCommitment.jl: A Julia/JuMP optimization package for security-constrained unit commitment,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features UnitCommitment.jl: A Julia/JuMP optimization package for security-constrained unit commitment,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T19:15:59.965438Z

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Observation 18f7280c-8378-44c3-837f-d83dd921d356 · outbound

This paper cites Attention is all you need,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Attention is all you need,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:00.111976Z

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Observation 7bc55d2d-93d1-41ce-bc48-b9ee9b19a50f · outbound

This paper cites Supervised learning with quantum-enhanced feature spaces,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Supervised learning with quantum-enhanced feature spaces,

Reference 30

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Observation 1cd402c2-e401-4ebe-8468-36e2ebb78139 · outbound

This paper cites Random features for large-scale kernel machines,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Random features for large-scale kernel machines,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:00.289789Z

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Observation ca261006-50ad-437b-9ab7-2bee45124ba8 · outbound

This paper cites Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:00.428221Z

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Observation 262f526a-77c0-4a99-a229-29904078633b · outbound

This paper cites JuMP 1.0: Recent improvements to a modeling language for mathematical optimization,.

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features JuMP 1.0: Recent improvements to a modeling language for mathematical optimization,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:00.551909Z

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Pith citing papers

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