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Paper Citation Record · LEDGER

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids

As of 22 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.03627.

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

pith.paper-citation-record.v1
2607.03627 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T01:05:44.228341Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

17 of 17 outbound references displayed

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  • verified fuzzy0
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e07abe7e-150b-4741-9e07-46801f9a781b · outbound

This paper cites Monitoring and optimization for power grids: a signal processing perspective,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Monitoring and optimization for power grids: a signal processing perspective,

Reference 1

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verified exact
arxiv_id, observed 2026-07-12T01:08:23.298175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation be2962de-836c-465d-817b-76f1c5c6d3cd · outbound

This paper cites Supporting ARPA-E Power Grid Optimization: Final Scien- tific/Technical Report,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Supporting ARPA-E Power Grid Optimization: Final Scien- tific/Technical Report,

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation cbf63313-260d-49f0-8733-c0b02a32e69e · outbound

This paper cites A Physics-Guided Graph Convolu- tion Neural Network for Optimal Power Flow,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids A Physics-Guided Graph Convolu- tion Neural Network for Optimal Power Flow,

Reference 3

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Observation 8ae6f9b4-47c0-4541-9179-58a70bce7ed1 · outbound

This paper cites Agent-based distributed security constrained optimal power flow,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Agent-based distributed security constrained optimal power flow,

Reference 4

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arxiv_id, observed 2026-07-12T01:08:23.247722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 2c6fce10-3fa1-4cf6-b312-c934d68c9c87 · outbound

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

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids State-of-the-art, challenges, and future trends in security constrained optimal power flow,

Reference 5

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doi, observed 2026-07-12T01:08:23.233284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0917603a-33ea-4ed2-b3d2-b67f2797cba4 · outbound

This paper cites Operations research in optimal power flow: A guide to recent and emerging methodologies and appli- cations,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Operations research in optimal power flow: A guide to recent and emerging methodologies and appli- cations,

Reference 6

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doi, observed 2026-07-12T01:08:23.218841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 07e72a5b-ba30-44bd-aed0-c96e613a60df · outbound

This paper cites GO Competition Challenge 3: Problem, Solvers, and Solution Analysis,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids GO Competition Challenge 3: Problem, Solvers, and Solution Analysis,

Reference 7

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doi, observed 2026-07-12T01:08:23.306680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 5b51df9f-0377-46f2-b6bc-f28d5fdd7830 · outbound

This paper cites Accurate and Warm-Startable Linear Cutting-Plane Relaxations for ACOPF,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Accurate and Warm-Startable Linear Cutting-Plane Relaxations for ACOPF,

Reference 8

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no resolver link, observed 2026-07-12T01:05:44.228341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T01:05:44.228341Z digest=sha256:67f00f2aa69a9cd22b49f19a3ab716aa544862435def54f88ffdb7890ebb92ab

Observation 622f6d1c-de9d-47e5-a0c2-8c606c40bd60 · outbound

This paper cites A Parallelized, Adam-Based Solver for Reserve and Secu- rity Constrained AC Unit Commitment,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids A Parallelized, Adam-Based Solver for Reserve and Secu- rity Constrained AC Unit Commitment,

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-12T01:08:23.274709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 691970fd-17f3-42a9-8a01-7d1b74f9561c · outbound

This paper cites Managing Power Balance and Reserve Feasibility in the AC Unit Commitment Problem,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Managing Power Balance and Reserve Feasibility in the AC Unit Commitment Problem,

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-12T01:08:23.213095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 75186490-52e6-48ea-b8be-a90b4f4b4653 · outbound

This paper cites Optimizing Multi-Timestep Security-Constrained Optimal Power Flow for Large Power Grids,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Optimizing Multi-Timestep Security-Constrained Optimal Power Flow for Large Power Grids,

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c9041dfa-c84a-4898-ab57-64fb9605b55d · outbound

This paper cites Scalable Solutions for Security-Constrained Optimal Power Flow with Multiple Time Steps,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Scalable Solutions for Security-Constrained Optimal Power Flow with Multiple Time Steps,

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-07-12T01:08:23.286516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a592decd-d150-4ddf-870d-2f533aee1cf7 · outbound

This paper cites Scalable Unit Commitment for Large Power Grids: Relaxation, Tightening, and GPU-Based Solvers Evaluation,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Scalable Unit Commitment for Large Power Grids: Relaxation, Tightening, and GPU-Based Solvers Evaluation,

Reference 13

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no resolver link, observed 2026-07-12T01:05:44.228341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9a9eacdf-fb4b-4998-bb73-adbd5a8da242 · outbound

This paper cites GPU-Accelerated Optimiza- tion Solver for Unit Commitment in Large-Scale Power Grids,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids GPU-Accelerated Optimiza- tion Solver for Unit Commitment in Large-Scale Power Grids,

Reference 14

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arxiv_id, observed 2026-07-12T01:08:23.262927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 8f72c481-aeac-47bc-a1a9-c940d977c570 · outbound

This paper cites Grid optimization challenge 3 problem formulation.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Grid optimization challenge 3 problem formulation

Reference 15

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Unavailable: canonical work link unavailable.

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Observation 9f9d7245-71cb-478e-a245-60923b7c4ee3 · outbound

This paper cites Data: ARPA-E Grid Optimization (GO) Competition Chal- lenge 3,.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Data: ARPA-E Grid Optimization (GO) Competition Chal- lenge 3,

Reference 16

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Observation ad70cbe3-24b5-4095-8927-8bdb673e8d90 · outbound

This paper cites Avail- able online: https://docs.gurobi.com/13.0/; accessed Mar 15, 2026.

Rapid Concurrent GPU-CPU Solvers for Scalable Unit Commitment in Large Power Grids Avail- able online: https://docs.gurobi.com/13.0/; accessed Mar 15, 2026

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.