Paper Citation Record · LEDGER

The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:1908.02788.

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

pith.paper-citation-record.v1
1908.02788 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 32 of 32 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 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:17:30.599902Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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verified fuzzy0
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External citation measurements

210
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 06b521c1-4326-4810-9513-d9b98e498d0a · inbound

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs cites this paper.

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T14:29:34.480714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c1504b80-f5eb-4fbb-9dff-a6929c2689a7 · inbound

A Feasible Reduced Space Method for Real-Time Optimal Power Flow cites this paper.

A Feasible Reduced Space Method for Real-Time Optimal Power Flow The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-24T12:56:12.490029Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 547e789f-ae43-401f-bb6f-0bfb00d696de · inbound

A more efficient reformulation of complex SDP as real SDP cites this paper.

A more efficient reformulation of complex SDP as real SDP The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-24T07:34:09.559334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7573befe-0114-4a53-9097-d066156b0d05 · inbound

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods cites this paper.

Accelerating Optimal Power Flow with GPUs: SIMD Abstraction of Nonlinear Programs and Condensed-Space Interior-Point Methods The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-24T07:49:08.661895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ca29f0bc-6b7c-4ae4-9712-3ee6a29ca730 · inbound

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow cites this paper.

Dual Conic Proxy for Semidefinite Relaxation of AC Optimal Power Flow The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-08T14:17:30.599902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fae552ee-7162-4830-9d1d-53dd7fb05a7f · inbound

Scalable Global Optimization for AC-OPF via Quadratic Convex Relaxation and Branch-and-Bound cites this paper.

Scalable Global Optimization for AC-OPF via Quadratic Convex Relaxation and Branch-and-Bound The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:35:38.611502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d93f251-269a-4562-84b2-119f0e0741c4 · inbound

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow cites this paper.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:01.858336Z

Source-reported events for the cited work

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Observation abd8d30c-d7f0-4936-a6b5-ff1a1391780d · inbound

Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets cites this paper.

Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:06.781034Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebd53592-9570-45eb-abf9-2c44279fd75f · inbound

Dispatch-Aware Deep Neural Network for Optimal Transmission Switching: Toward Real-Time and Feasibility Guaranteed Operation cites this paper.

Dispatch-Aware Deep Neural Network for Optimal Transmission Switching: Toward Real-Time and Feasibility Guaranteed Operation The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T14:58:42.517902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1d958c3-b525-4045-b235-3782f3bc38f4 · inbound

A Principled Framework to Evaluate Quality of AC-OPF Datasets for Machine Learning: Benchmarking a Novel, Scalable Generation Method cites this paper.

A Principled Framework to Evaluate Quality of AC-OPF Datasets for Machine Learning: Benchmarking a Novel, Scalable Generation Method The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-05T16:02:32.274494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1982377f-d85a-4a37-afdb-f26f2c273f8f · inbound

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow cites this paper.

Towards Generalization of Graph Neural Networks for AC Optimal Power Flow The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:51:08.869414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f003eeed-6dc1-4b83-98b6-134e00aee593 · inbound

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch cites this paper.

Self-Certifying Primal-Dual Optimization Proxies for Large-Scale Batch Economic Dispatch The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T05:55:56.900003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d301afc9-d24c-4294-9cd6-a8880239e4b9 · inbound

An Efficient Hybrid Heuristic for the Transmission Expansion Planning under Uncertainty cites this paper.

An Efficient Hybrid Heuristic for the Transmission Expansion Planning under Uncertainty The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T06:20:41.003051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 61fdc6f6-97f8-47c5-9afb-cdec8ff7da60 · inbound

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints cites this paper.

Activate the Dual Cones: A Tight Reformulation of Conic ACOPF Constraints The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-02T17:54:24.900349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bc5261-cb5f-4cfe-a694-854ce705d88d · inbound

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics cites this paper.

Exploring the potential of ChatGPT for feedback and evaluation in experimental physics The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T21:36:14.566306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9685822e-baf0-4d64-95e8-cf69d9b697a4 · inbound

Benders Cut Filtering for Affine Potential-Based Flow Problems with Robustness Scenarios and Topology Switching cites this paper.

Benders Cut Filtering for Affine Potential-Based Flow Problems with Robustness Scenarios and Topology Switching The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-09T02:29:38.048962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 90bab440-d2e6-4bbe-8af8-3fee300e6233 · inbound

Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow cites this paper.

Building Power Grid Models from Open Data: A Complete Pipeline from OpenStreetMap to Optimal Power Flow The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:21:10.092724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 997adb9a-5779-480a-8ca5-1e9efa87efe9 · inbound

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids cites this paper.

Scalable Heterogeneous Graph Foundation Models for Data-Driven Optimal Power Flow in Smart Grids The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:23.071583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1283154f-1d01-4e71-9a13-3cc3c5eb076f · inbound

De-risking solutions to optimization problems cites this paper.

De-risking solutions to optimization problems The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T11:13:20.953204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 042221d7-6ef5-4bf8-85c5-7ed7cc80b7a1 · inbound

De-risking solutions to optimization problems cites this paper.

De-risking solutions to optimization problems The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-12T15:50:24.762576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f56ac5f4-19a2-4b5f-ba6e-7faf9e465228 · inbound

Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes cites this paper.

Physics-Informed Graph Learning Acceleration for Large-Scale AC-OPF with Topology Changes The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T14:37:03.864762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1ae1771b-f4f4-4b6b-942a-bd423252922c · inbound

Multi-ResNets for Subspace Preconditioning in Constrained Optimization cites this paper.

Multi-ResNets for Subspace Preconditioning in Constrained Optimization The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.514467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 62792a8c-2d8d-47ff-99a8-8daf0ae821a3 · inbound

Not All Warm Starts Help: Benchmarking Primal-Dual Initializations for ACOPF Algorithms cites this paper.

Not All Warm Starts Help: Benchmarking Primal-Dual Initializations for ACOPF Algorithms The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-03T02:17:35.187682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4cb50b63-fbc3-4a55-aae2-9b191a40c08a · inbound

Navigating the Safety-Fidelity Trade-off: Massive-Variate Time Series Forecasting for Power Systems via Probabilistic Scenarios cites this paper.

Navigating the Safety-Fidelity Trade-off: Massive-Variate Time Series Forecasting for Power Systems via Probabilistic Scenarios The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:22.323813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b4fa1539-1adf-4c48-aa80-34075e1de72b · inbound

Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering cites this paper.

Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:29:35.201237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 925f9139-73e6-408c-a09e-bb9a0349cbfa · inbound

Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering cites this paper.

Power Systems Agent Benchmark: Executable Evaluation of AI Agents in Electric Power Engineering The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:01.835121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 89dda1cf-f0b3-4d58-9fdb-1a20d8ba5a64 · inbound

Trust-Calibrated Certified Repair for Physics-Constrained Decisions under Localized Model Misspecification cites this paper.

Trust-Calibrated Certified Repair for Physics-Constrained Decisions under Localized Model Misspecification The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T13:24:40.740001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d85fcdb-45d3-433d-8ad4-b552f7ab2bf8 · inbound

Standardizing case study descriptions for multi-energy systems and networks modeling cites this paper.

Standardizing case study descriptions for multi-energy systems and networks modeling The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 8

Resolution: malformed identifier; arxiv_id, observed 2026-07-01T11:15:43.153707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c52927e1-5834-4c85-8f9d-ff0ce974de0a · inbound

Scenario Reduction for Two-Stage Stochastic Mixed-Integer Programs cites this paper.

Scenario Reduction for Two-Stage Stochastic Mixed-Integer Programs The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 40

Resolution: unresolved; no resolver link, observed 2026-07-14T04:32:38.855563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d1b3887-1183-4231-813e-4affd9d94b5e · inbound

Scenario Reduction for Two-Stage Stochastic Mixed-Integer Programs cites this paper.

Scenario Reduction for Two-Stage Stochastic Mixed-Integer Programs The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T06:54:41.115014Z

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Unavailable: canonical work link unavailable.

Observation 95753dd7-2b27-4ba6-87d2-02a4b7cb4021 · inbound

MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model cites this paper.

MxGPS: Multiplex Graph Transformers for a Power Grid Foundation Model The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-02T03:50:45.290525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cc715b3-d3c8-49a6-a526-6d8febc1e3af · inbound

The Limits of Quantum Computers for Power Flow cites this paper.

The Limits of Quantum Computers for Power Flow The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T13:02:29.862178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.