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Paper Citation Record · LEDGER

A hybrid classical-quantum approach to highly constrained Unit Commitment problems

As of 20 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 5 inbound Pith citation observations for arXiv:2412.11312.

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

pith.paper-citation-record.v1
2412.11312 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:08:48.068031Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:27:29.601678Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T15:49:57.772638Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact6
  • verified fuzzy14
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3405e1ae-8508-4575-b577-25d20a66de76 · outbound

This paper cites Unit commitment-a bibliographical survey,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Unit commitment-a bibliographical survey,

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 75f60c60-bf85-45b9-8af4-30c609fad358 · outbound

This paper cites Quantum computing for energy systems optimization: Challenges and opportunities,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Quantum computing for energy systems optimization: Challenges and opportunities,

Reference 2

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:08:47.880675Z digest=sha256:f03ceacf23f9a2a85a5c0a2717911b6f144fc090b2ac302aa34463780dd50633

Observation 00051884-3a57-4fe9-a3ec-83565020d09c · outbound

This paper cites Unit commitment problem with ramp rate constraint using a binary-real-coded genetic algorithm,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Unit commitment problem with ramp rate constraint using a binary-real-coded genetic algorithm,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:08:47.890502Z digest=sha256:d5183a599061a1631d5b77ff553ddc6a435437a65a0f0e3e8c8d8ee6781de336

Observation cfaa91d4-5dc8-4ab5-9b2f-872a37be78f9 · outbound

This paper cites Tseng, On power system generation unit commitment problems.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Tseng, On power system generation unit commitment problems

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:08:47.896614Z digest=sha256:f37212beed8a9b3519f4fbefc44c3c919f60461aa24ac503d1cfd91263d0ad54

Observation 32e75dba-bc7e-4a81-9d1b-f9a6f50b103d · outbound

This paper cites Optimization based methods for unit com- mitment: Lagrangian relaxation versus general mixed integer programming,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Optimization based methods for unit com- mitment: Lagrangian relaxation versus general mixed integer programming,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:08:47.902809Z digest=sha256:724e6a5a805d40ea91875742551f7bc6714c22a2025bb002078ee2dbd46d2492

Observation ecdf4b1b-97d8-402a-b80a-7ef8dbf0b745 · outbound

This paper cites A quantum approximate optimization algorithm,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems A quantum approximate optimization algorithm,

Reference 6

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:08:47.909301Z digest=sha256:c574ca370ae46f10e4335e48e79626d9a4b90cc380633e4eeb1f14890d130016

Observation e8a4c39a-7714-4137-ad5f-58a7b3d7c2cd · outbound

This paper cites A review on quantum approximate optimization algorithm and its variants,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems A review on quantum approximate optimization algorithm and its variants,

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-11T15:08:47.919913Z digest=sha256:e52cf3982d855e7a86ca4a5ef4b8fb813e3ea87ce511a60e290d2cc9359e3f72

Observation 676f8b01-576a-4c2d-bf28-9b0fc8b4da2e · outbound

This paper cites Warm- starting quantum optimization,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Warm- starting quantum optimization,

Reference 8

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation d6a72cea-f623-4ab1-877e-6cd1df410184 · outbound

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

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Adapting quantum approximation optimization algorithm (qaoa) for unit commitment,

Reference 9

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raw_fallback, observed 2026-08-11T15:08:49.376906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:08:47.930262Z digest=sha256:2e9d9efe7e51a918ec2d6f9b59c4490d3a0f9fe2e783be4aeb9f09d1a119511a

Observation 96d9e012-e5c2-4942-8216-e3f774f22e41 · outbound

This paper cites Quantum distributed unit commitment: An application in microgrids,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Quantum distributed unit commitment: An application in microgrids,

Reference 10

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source=pdf_text observed=2026-08-11T15:08:47.935912Z digest=sha256:369e3628f4474ae879ac5654c2bb7ebe323e9c307f3b34419a37f864935e832a

Observation c4fd2990-2564-4959-a790-e8c55953d008 · outbound

This paper cites Hybrid quantum- classical unit commitment,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Hybrid quantum- classical unit commitment,

Reference 11

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation dd2f75d5-a7a4-4142-96e6-d2dff3e2a621 · outbound

This paper cites The values for the twelve-unit instances were determined by limitations in computational resources.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems The values for the twelve-unit instances were determined by limitations in computational resources

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation a64311af-7af6-4353-bc32-2752d7ac0c8d · outbound

This paper cites Exponential Quantum Speedup for Simulation-Based Optimization Applications.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Exponential Quantum Speedup for Simulation-Based Optimization Applications

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:08:47.998622Z digest=sha256:c9b722d304197ee9ac0e1709ac8f1791792031cd7bd66f7a205e128af0ddd507

Observation 5e1f2bb9-ca19-4281-bbc1-c544d3cc6225 · outbound

This paper cites Obstacles to variational quantum optimization from symmetry protection,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Obstacles to variational quantum optimization from symmetry protection,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8462e30b-52f7-4303-86d0-cf7630d4c0c0 · outbound

This paper cites Novel resolution of unit com- mitment problems through quantum surro- gate lagrangian relaxation,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Novel resolution of unit com- mitment problems through quantum surro- gate lagrangian relaxation,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 8b59a85a-b775-421e-9d21-b0d4522368ab · outbound

This paper cites Scipy 1.0: fundamental algorithms for scientific computing in python,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Scipy 1.0: fundamental algorithms for scientific computing in python,

Reference 16

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation e08f1be7-2e74-42b8-bdc0-5fc025ecee8f · outbound

This paper cites an unresolved cited work.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Unresolved cited work

Reference 17

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 13b3335c-500b-4e80-9729-cd755e7650a6 · outbound

This paper cites Quantum computing with Qiskit.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Quantum computing with Qiskit

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:08:48.016721Z digest=sha256:8c83b45e5d2d6d1d8fadfdd03ddcbdba2a7056529fe2d07ebf8c5b331f78560d

Observation c4e4ef6c-5689-4a29-a398-b61822ce5b8f · outbound

This paper cites Quantum computing for solid mechanics and structural engineering–a demonstration with vari- ational quantum eigensolver,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Quantum computing for solid mechanics and structural engineering–a demonstration with vari- ational quantum eigensolver,

Reference 19

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Observation 2e557120-8993-4581-a445-60502351db6f · outbound

This paper cites Zhang, Branch-and-bound search algorithms and their computational complexity.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Zhang, Branch-and-bound search algorithms and their computational complexity

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 5b1c1fee-6d83-4e0b-9737-18ef36df0330 · outbound

This paper cites Gurobi Optimizer Reference Manual,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Gurobi Optimizer Reference Manual,

Reference 21

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source=pdf_text observed=2026-08-11T15:08:48.036364Z digest=sha256:c210ae6319b391ca176962389059116476685960f5e36b755938e400a1816cef

Observation 240211b6-7759-4b10-8f51-90451d9c7109 · outbound

This paper cites Average-case complexity of a branch-and-bound algorithm for Min Dom- inating Set,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Average-case complexity of a branch-and-bound algorithm for Min Dom- inating Set,

Reference 22

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation faa69c29-4dd4-4cda-a8f0-070f57498074 · outbound

This paper cites Integrality gaps for random integer programs via discrepancy,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Integrality gaps for random integer programs via discrepancy,

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation b05a0a04-7e1d-4d6c-996a-dc543d7d9861 · outbound

This paper cites Computation complexity of branch-and-bound model selection,.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Computation complexity of branch-and-bound model selection,

Reference 24

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 9b3ca184-4f97-4458-8706-54d2c50f58f5 · outbound

This paper cites Available: https://epubs.siam.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Available: https://epubs.siam

Reference 1733

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Observation 30438c65-05d6-42bb-b87b-6e3ac6a3a201 · outbound

This paper cites A Quantum Approximate Optimization Algorithm.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems A Quantum Approximate Optimization Algorithm

Reference 2014

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:08:47.914384Z digest=sha256:7e7c6ea2f8ae62ab5a4bec9b0340599c2340f5d8efae2d8dccfb74b8009760e3

Observation 63a8ca0b-55e0-40fd-9a43-91a20b637899 · outbound

This paper cites Available: https://ieeexplore.ieee.

A hybrid classical-quantum approach to highly constrained Unit Commitment problems Available: https://ieeexplore.ieee

Reference 2022

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verified exact
raw_fallback, observed 2026-08-11T15:08:49.108457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-11T15:08:47.941347Z digest=sha256:6a3f4566e18cb790d2884bd6af94e408d8d301b45435e1b60a1b8ef6e2e8f193

Pith citing papers

Observation ea76663e-59f0-47f8-904f-9ce74eeee291 · inbound

Quantum Artificial Intelligence for Mission-Critical Systems: Foundations, Architectural Elements, and Future Directions cites this paper.

Quantum Artificial Intelligence for Mission-Critical Systems: Foundations, Architectural Elements, and Future Directions A hybrid classical-quantum approach to highly constrained Unit Commitment problems

Reference 49

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arxiv_id, observed 2026-05-21T19:00:30.486409Z

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No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-21T18:57:57.542438Z digest=sha256:6f795ee8f9907ac8fe14af2df54a01373e8fa8f6afcc5b53477ba094baa13006

Observation 760bcf17-e5a9-4076-a0cf-41764241af5c · inbound

A Survey on Applications of Quantum Computing for Unit Commitment cites this paper.

A Survey on Applications of Quantum Computing for Unit Commitment A hybrid classical-quantum approach to highly constrained Unit Commitment problems

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:27:29.601678Z digest=sha256:bdfbad9284906177bc791963ff429445f367cfb4ce6c6c7c084f1b76b5377f52

Observation 97544af5-2135-4292-bea2-ca2b819b7e67 · inbound

Scaling Quantum Optimization for Unit Commitment via Pauli Correlation Encoding cites this paper.

Scaling Quantum Optimization for Unit Commitment via Pauli Correlation Encoding A hybrid classical-quantum approach to highly constrained Unit Commitment problems

Reference 14

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arxiv_id, observed 2026-05-20T14:43:22.593825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T14:39:52.782803Z digest=sha256:404d4fee8e65815d0fc55ab9ba889038ef23ba27111b95b87fe5f8763e6b33c0

Observation 61f3f91d-bea3-4d45-bd64-cf328a14f2e6 · inbound

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

Feasibility-Aware Security-Constrained Unit Commitment via Hybrid Soft Actor-Critic with Quantum-Sampled Features A hybrid classical-quantum approach to highly constrained Unit Commitment problems

Reference 22

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arxiv_id, observed 2026-07-04T15:49:57.774294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T01:18:55.557238Z digest=sha256:6733796530d7680098081f2a5c11a0b05014b770c714d26acfb041e2ac0cfb08

Observation 29f94931-905e-4b68-810d-a975197b09ef · inbound

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems cites this paper.

Benchmarking Hybrid Quantum-Classical Algorithms for Power Grid Optimization Problems A hybrid classical-quantum approach to highly constrained Unit Commitment problems

Reference 23

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no resolver link, observed 2026-08-01T23:08:13.069973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:08:13.069973Z digest=sha256:926dd40a4f6f33ccc4af03a21fae7ecbbf43f6becd1a8bfd4da8f99fe64cc60b