Paper Citation Record · LEDGER

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow

As of 21 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 2 inbound Pith citation observations for arXiv:2505.22825.

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

pith.paper-citation-record.v1
2505.22825 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:06.623758Z

measured 58 of 58 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:00.528679Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:46:57.515163Z

Reference resolution

56 of 56 outbound references displayed

verified exact5
verified fuzzy29
unresolved19
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1f028692-7d69-444a-ac0f-e6a4f9a7b268 · outbound

This paper cites @esa (Ref.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow @esa (Ref

Reference 1

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Source-reported events for the cited work

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Observation 9e4686a9-6423-49f9-992f-4b7bb58cdc13 · outbound

This paper cites an unresolved cited work.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Unresolved cited work

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469f8904-5553-4b34-91f4-0a78f16be35c · outbound

This paper cites an unresolved cited work.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Unresolved cited work

Reference 3

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Observation e1c16376-bbae-4fc5-97ce-a48736648130 · outbound

This paper cites Future of grid operations and markets: Uncertainty management., 2021.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Future of grid operations and markets: Uncertainty management., 2021

Reference 4

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Observation dfbc0ec9-bddb-4dff-b749-076bdf3e178b · outbound

This paper cites Real-time risk analysis with optimization proxies.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Real-time risk analysis with optimization proxies

Reference 5

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Observation 288790c2-d282-4272-8958-e6e459d2b453 · outbound

This paper cites Review of machine learning techniques for optimal power flow.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Review of machine learning techniques for optimal power flow

Reference 6

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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.

Observation 52255b51-5815-46f6-aac1-b53d6c5e0a65 · outbound

This paper cites OPFData: Large-scale datasets for AC optimal power flow with topological perturbations.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 7

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Source-reported events for the cited work

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Observation b9b87166-c923-46e6-acc0-48bba3aaaa4b · outbound

This paper cites Luh, Lei Wu, Bing Yan, Mikhail A.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Luh, Lei Wu, Bing Yan, Mikhail A

Reference 8

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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.

Observation 952900f4-1204-4a7b-8ae8-90d731445211 · outbound

This paper cites A survey on applications of machine learning for optimal power flow.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow A survey on applications of machine learning for optimal power flow

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:11.814856Z

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Observation ef6ee62c-d199-4307-9516-76f756c9143c · outbound

This paper cites Molzahn and Ian A.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Molzahn and Ian A

Reference 10

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Source-reported events for the cited work

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Observation 90cc3645-b377-4bbf-a2d0-da37314f8b18 · outbound

This paper cites The security-constrained commitment and dispatch for midwest iso day-ahead co-optimized energy and ancillary service market.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow The security-constrained commitment and dispatch for midwest iso day-ahead co-optimized energy and ancillary service market

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:11.682871Z

Source-reported events for the cited work

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Observation c861899f-7ec2-49ab-aeed-e7e7e1983a5e · outbound

This paper cites End-to-end feasible optimization proxies for large-scale economic dispatch.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow End-to-end feasible optimization proxies for large-scale economic dispatch

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:11.558342Z

Source-reported events for the cited work

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

This paper cites The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms.

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

Reference 13

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Source-reported events for the cited work

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Observation bccf0d78-9dbd-4405-a7a3-739daa979f17 · outbound

This paper cites Neural networks for power flow: Graph neural solver.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Neural networks for power flow: Graph neural solver

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:01.969330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb686fcd-73a3-4714-8ece-e8ee788fbb1b · outbound

This paper cites Data-driven time series reconstruction for modern power systems research.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Data-driven time series reconstruction for modern power systems research

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:11.453569Z

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.

Observation a2f03a1d-1aca-46a7-a340-7dbb7d2098ed · outbound

This paper cites Bucketized active sampling for learning ACOPF.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Bucketized active sampling for learning ACOPF

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:11.329225Z

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.

Observation bac64870-4644-49ff-bd0a-1cf2b21e09e3 · outbound

This paper cites Learning an Optimally Reduced Formulation of OPF through Meta-optimization.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Learning an Optimally Reduced Formulation of OPF through Meta-optimization

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 238c869d-2f7f-4a59-8410-c77d54916fe8 · outbound

This paper cites OPF-Learn : An open-source framework for creating representative AC optimal power flow datasets.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow OPF-Learn : An open-source framework for creating representative AC optimal power flow datasets

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:11.216779Z

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.

Observation 74b5e983-f890-41b5-9687-749b0cd72516 · outbound

This paper cites Powermodels.jl: An open-source framework for exploring power flow formulations.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Powermodels.jl: An open-source framework for exploring power flow formulations

Reference 19

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Source-reported events for the cited work

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Observation 8023a72c-4b13-43a2-a26d-fcf9866b9e22 · outbound

This paper cites Julia: A fresh approach to numerical computing.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Julia: A fresh approach to numerical computing

Reference 20

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Source-reported events for the cited work

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Observation dd960e8a-8f78-46c1-a061-a66bebc9650c · outbound

This paper cites PyTorch 2: Faster machine learning through dynamic Python bytecode transformation and graph compilation.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow PyTorch 2: Faster machine learning through dynamic Python bytecode transformation and graph compilation

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:02.680360Z

Source-reported events for the cited work

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Observation b342cd75-634c-4613-90c4-7ca159c4cdec · outbound

This paper cites Radial distribution load flow using conic programming.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Radial distribution load flow using conic programming

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:11.059081Z

Source-reported events for the cited work

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Observation 65a0125f-0df2-4df5-b125-7917d10027d6 · outbound

This paper cites Transmission management in the deregulated environment.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Transmission management in the deregulated environment

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:10.947623Z

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.

Observation f638fbdb-7dca-4726-9ea1-e2717ec9b6a8 · outbound

This paper cites Dual conic proxies for ac optimal power flow.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Dual conic proxies for ac optimal power flow

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:10.787103Z

Source-reported events for the cited work

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Observation dc7b2ce6-dccb-440d-96ed-ae560444f10f · outbound

This paper cites Dual Lagrangian Learning for Conic Optimization.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Dual Lagrangian Learning for Conic Optimization

Reference 25

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Source-reported events for the cited work

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Observation c9726591-64ee-43e2-880b-e68bbdab996f · outbound

This paper cites Learning Constrained Optimization with Deep Augmented Lagrangian Methods.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Learning Constrained Optimization with Deep Augmented Lagrangian Methods

Reference 26

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Source-reported events for the cited work

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Observation bdfd7c1b-0dc7-41e5-8c85-7cca35060f47 · outbound

This paper cites Learning Lagrangian Multipliers for the Travelling Salesman Problem.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Learning Lagrangian Multipliers for the Travelling Salesman Problem

Reference 27

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Source-reported events for the cited work

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Observation 433332dc-d6d4-469b-a39d-a355a81728c8 · outbound

This paper cites Predicting lagrangian multipliers for mixed integer linear programs.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Predicting lagrangian multipliers for mixed integer linear programs

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:10.611254Z

Source-reported events for the cited work

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Observation 2fee5167-0e2b-4353-a804-38bbb14827ed · outbound

This paper cites Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Contingency ranking with respect to overloads in very large power systems taking into account uncertainty, preventive, and corrective actions

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:10.493913Z

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.

Observation 82912d35-ea33-482c-9b8e-599fea51f67c · outbound

This paper cites AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow AC Power Flow Data in MATPOWER and QCQP Format: iTesla, RTE Snapshots, and PEGASE

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d7410fe-b50a-4cc6-9d60-739c6153ee6a · outbound

This paper cites University of Wisconsin-Madison ARPA-E PERFORM Electric Grid Test Cases , 2024.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow University of Wisconsin-Madison ARPA-E PERFORM Electric Grid Test Cases , 2024

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:10.326141Z

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.

Observation 497c6e01-5099-4e34-83f6-0434463585b6 · outbound

This paper cites A description of the Texas A&M University Electric Grid Test Case Repository for power system studies.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow A description of the Texas A&M University Electric Grid Test Case Repository for power system studies

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:10.201733Z

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.

Observation c934b0f6-673b-48ff-b487-aa07b652eb37 · outbound

This paper cites of Electrical Engineering.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow of Electrical Engineering

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:10.066893Z

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.

Observation 26919992-de6a-4df9-9b40-c6378dd18fb6 · outbound

This paper cites Learning optimization proxies for large-scale security-constrained economic dispatch.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Learning optimization proxies for large-scale security-constrained economic dispatch

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:09.929712Z

Source-reported events for the cited work

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Observation 2822d59f-0104-4d47-ba02-dbebab2446e7 · outbound

This paper cites The entso-e transparency platform – a review of europe’s most ambitious electricity data platform.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow The entso-e transparency platform – a review of europe’s most ambitious electricity data platform

Reference 35

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Source-reported events for the cited work

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Observation 03e6dcb3-9da9-4475-93b2-6766f41f17bd · outbound

This paper cites JuMP 1.0: R ecent improvements to a modeling language for mathematical optimization.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow JuMP 1.0: R ecent improvements to a modeling language for mathematical optimization

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:04.626487Z

Source-reported events for the cited work

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Observation ccd8d16b-cd71-4f53-a3f7-d55639e72de9 · outbound

This paper cites MATPOWER : Steady-state operations, planning, and analysis tools for power systems research and education.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow MATPOWER : Steady-state operations, planning, and analysis tools for power systems research and education

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:09.759784Z

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.

Observation b34a7104-5630-431b-b551-2b81b8d09dad · outbound

This paper cites MathOptSymbolicAD.jl , 2022.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow MathOptSymbolicAD.jl , 2022

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:09.615134Z

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.

Observation 763d1500-d9b3-41bc-881f-833f876a6da1 · outbound

This paper cites GNU Parallel 20220522 ('NATO') , May 2022.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow GNU Parallel 20220522 ('NATO') , May 2022

Reference 39

Resolution: verified exact; doi, observed 2026-08-07T13:05:06.936314Z

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.

Observation 648d94c0-b0aa-41e5-93b2-9c848e86506b · outbound

This paper cites Architecture of the Slurm workload manager.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Architecture of the Slurm workload manager

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:09.473874Z

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.

Observation f4b6904b-5028-4055-909d-67622557165e · outbound

This paper cites Lagrangian duality for constrained deep learning.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Lagrangian duality for constrained deep learning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:09.295617Z

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.

Observation 17cf819a-2edb-476f-a869-70c84603fa9d · outbound

This paper cites DC3 : A learning method for optimization with hard constraints.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow DC3 : A learning method for optimization with hard constraints

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:09.184289Z

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.

Observation bdacebf0-c52f-4667-87ff-a395b18e1b06 · outbound

This paper cites Differentiable convex optimization layers.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Differentiable convex optimization layers

Reference 43

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Source-reported events for the cited work

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Observation 2efdb2f8-4f7e-4dff-838e-806e4f8da17e · outbound

This paper cites Building highly detailed synthetic electric grid data sets for combined transmission and distribution systems.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Building highly detailed synthetic electric grid data sets for combined transmission and distribution systems

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:09.065996Z

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.

Observation c886eda0-d5b7-44d3-83ea-1cd3b25e5e26 · outbound

This paper cites Lectures on modern convex optimization: analysis, algorithms, and engineering applications.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Lectures on modern convex optimization: analysis, algorithms, and engineering applications

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:08.963365Z

Source-reported events for the cited work

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Observation 77510667-6166-49c1-8243-51b3633bccd6 · outbound

This paper cites Zimmerman and Carlos E.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Zimmerman and Carlos E

Reference 46

Resolution: verified exact; doi, observed 2026-08-07T13:05:06.779114Z

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.

Observation aa1d2a42-4b83-4245-a48b-6589c99f75bf · outbound

This paper cites Large-scale nonlinear programming using Ipopt : An integrating framework for enterprise-wide dynamic optimization.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Large-scale nonlinear programming using Ipopt : An integrating framework for enterprise-wide dynamic optimization

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:08.896576Z

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.

Observation f4cddb90-3b03-4757-ab91-d6a8d6ba5ac9 · outbound

This paper cites MA27 - a set of Fortran subroutines for solving sparse symmetric sets of linear equations.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow MA27 - a set of Fortran subroutines for solving sparse symmetric sets of linear equations

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:08.771738Z

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.

Observation e77a9a83-1922-417f-93d8-f691deec1b41 · outbound

This paper cites LibHSL : the ultimate collection for large-scale scien-tific computation.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow LibHSL : the ultimate collection for large-scale scien-tific computation

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:08.637658Z

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.

Observation 09825e3c-74a0-43ea-8a08-b4116cd2cb2e · outbound

This paper cites Gopinath, H.L.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Gopinath, H.L

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:06.212438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b934677-8e25-47ee-880a-1ff9a8a50317 · outbound

This paper cites an unresolved cited work.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Unresolved cited work

Reference 51

Resolution: metadata mismatch; raw_fallback, observed 2026-08-07T13:05:07.331888Z

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.

Observation 377c4116-2cdb-4e1d-9c66-f0687437641a · outbound

This paper cites A conic quadratic format for the load flow equations of meshed networks.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow A conic quadratic format for the load flow equations of meshed networks

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:08.504758Z

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.

Observation 1ef761d9-c0c8-4fbd-8775-e286a50d5156 · outbound

This paper cites Clarabel: An interior-point solver for conic programs with quadratic objectives.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Clarabel: An interior-point solver for conic programs with quadratic objectives

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:06.419539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d586ae09-8086-45c5-a732-7bc8c123f155 · outbound

This paper cites Huangfu and J.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Huangfu and J

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:06.485271Z

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Observation bb6517b1-1267-4dbf-bb0d-9584ca01a5ca · outbound

This paper cites Hierarchical Data Format, version 5 , 2024.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow Hierarchical Data Format, version 5 , 2024

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:08.396094Z

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.

Observation 53d58de3-d73b-44ae-9cae-3f84cece8cc6 · outbound

This paper cites P artnership for an A dvanced C omputing E nvironment ( PACE ) , 2017.

PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow P artnership for an A dvanced C omputing E nvironment ( PACE ) , 2017

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:05:08.358601Z

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.

Pith citing papers

Observation 1c2b56e8-bc41-4e58-97cd-dae2e0f96364 · inbound

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

Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:00.528679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a96042f7-aaa4-4677-82a7-45d76f712e4b · inbound

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

Multi-ResNets for Subspace Preconditioning in Constrained Optimization PGLearn -- An Open-Source Learning Toolkit for Optimal Power Flow

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:46:57.517105Z

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.