Paper Citation Record · LEDGER

OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.07234.

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

pith.paper-citation-record.v1
2406.07234 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:05:01.413461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:58:22.302120Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

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

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

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

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:05:01.413461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a02f3a7-15de-43e5-a9fd-11c706c41030 · inbound

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

Constrained Diffusion Models for Synthesizing Representative Power Flow Datasets OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T04:19:04.137316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68fbfe18-4af0-44b2-b85a-73579f3c720d · inbound

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks cites this paper.

Enhancing Power Flow Estimation with Topology-Aware Gated Graph Neural Networks OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T20:42:57.568171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ea47b6f-57b4-4c6c-bd1d-e49629cb2586 · 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 OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T16:02:32.269644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d2e1ec2-dfa1-4d82-b694-a0930ef7ab88 · inbound

LUMINA: Foundation Models for Topology Transferable ACOPF cites this paper.

LUMINA: Foundation Models for Topology Transferable ACOPF OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T16:40:10.474592Z

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 4b429b4e-32be-4f6f-854d-56bce5ec82d2 · inbound

Towards Systematic Generalization for Power Grid Optimization Problems cites this paper.

Towards Systematic Generalization for Power Grid Optimization Problems OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:21:08.563735Z

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 865dc952-a45e-436c-bf36-105fc36732b6 · inbound

LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning cites this paper.

LUMINA: A Grid Foundation Model for Benchmarking AC Optimal Power Flow Surrogate Learning OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:26:09.975000Z

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 814c42a5-e7b4-4131-b452-4db8eecd30bf · 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 OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:30:23.084111Z

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 6d084f0d-c605-47e4-9dee-bebc4ee1ef8c · 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 OPFData: Large-scale datasets for AC optimal power flow with topological perturbations

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:58:22.303915Z

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.