Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T13:25:26.829995Z
Paper Citation Record · LEDGER
Revisiting Deep AC-OPF
As of 23 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2509.00655.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
31 of 31 outbound references displayed
- verified exact8
- verified fuzzy11
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch6
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ac325bdf-5c0f-44ba-8e8b-192f1c3d7569 · outbound
This paper cites A rewriting system for convex optimization problems.
Revisiting Deep AC-OPF A rewriting system for convex optimization problems
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.263805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 301c7b30-e3bb-428d-b8b6-e5a47261c3a8 · outbound
This paper cites Under what conditions does e[f(x)] f(e[x]) ? Mathematics Stack Exchange, 2019.
Revisiting Deep AC-OPF Under what conditions does e[f(x)] f(e[x]) ? Mathematics Stack Exchange, 2019
Reference 2
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T13:25:28.079529Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation feac078b-01c9-4bbd-90e1-80b6ed974c08 · outbound
This paper cites Emulating AC OPF solvers for Obtaining Sub-second Feasible, Near-Optimal Solutions.
Revisiting Deep AC-OPF Emulating AC OPF solvers for Obtaining Sub-second Feasible, Near-Optimal Solutions
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:25:27.996600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fa4040bf-64a1-46a2-b535-6c4462f41514 · outbound
This paper cites CVXPY : A P ython-embedded modeling language for convex optimization.
Revisiting Deep AC-OPF CVXPY : A P ython-embedded modeling language for convex optimization
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.222911Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5f05bd07-e9e5-4ccc-b8b4-779dd9587f3d · outbound
This paper cites Neural networks for power flow: Graph neural solver.
Revisiting Deep AC-OPF Neural networks for power flow: Graph neural solver
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.198893Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4fc608d3-7e5b-4e41-8eaf-944e1aa22151 · outbound
This paper cites Machine learning for sustainable energy systems.
Revisiting Deep AC-OPF Machine learning for sustainable energy systems
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.184467Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 980e11e0-60f3-41ce-810e-9f6f411f0692 · outbound
This paper cites Enforcing robust control guarantees within neural network policies.
Revisiting Deep AC-OPF Enforcing robust control guarantees within neural network policies
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:25:27.978386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d81c80c6-bd42-4604-8021-3fc4ef9b5e5d · outbound
This paper cites Donti, David Rolnick, and J.
Revisiting Deep AC-OPF Donti, David Rolnick, and J
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.171845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8acc4205-d3b4-44e3-936f-5b6ba1be7d1d · outbound
This paper cites Deep learning architectures for inference of AC-OPF solutions.
Revisiting Deep AC-OPF Deep learning architectures for inference of AC-OPF solutions
Reference 9
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:25:27.959643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7b72a1c2-65a8-4906-a603-76aa8c5132bb · outbound
This paper cites Leveraging power grid topology in machine learning assisted optimal power flow.
Revisiting Deep AC-OPF Leveraging power grid topology in machine learning assisted optimal power flow
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.159454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e11faade-9ae2-42bb-bdb2-baeac996ef6f · outbound
This paper cites Power flow balancing with decentralized graph neural networks.
Revisiting Deep AC-OPF Power flow balancing with decentralized graph neural networks
Reference 11
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:25:27.940105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 21438032-668f-485f-8176-c88859fbff95 · outbound
This paper cites Deepopf-v: Solving ac-opf problems efficiently.
Revisiting Deep AC-OPF Deepopf-v: Solving ac-opf problems efficiently
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.146509Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7f23c781-b138-4c9f-a61c-b2625101f1a9 · outbound
This paper cites OPFLearnData: Dataset for Learning AC Optimal Power Flow.
Revisiting Deep AC-OPF OPFLearnData: Dataset for Learning AC Optimal Power Flow
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-05T13:25:26.866093Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e28daa5c-2ab0-47b1-a4c1-bf5444cbafc6 · outbound
This paper cites an unresolved cited work.
Revisiting Deep AC-OPF Unresolved cited work
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:26.763513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d269469-533e-49ff-ab0b-9d80ed211c92 · outbound
This paper cites Numerical comparisons of linear power flow approximations: Optimality, feasibility, and computation time.
Revisiting Deep AC-OPF Numerical comparisons of linear power flow approximations: Optimality, feasibility, and computation time
Reference 15
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T13:25:27.803014Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a032ab1f-bd0b-4e67-a616-2e465babfe40 · outbound
This paper cites an unresolved cited work.
Revisiting Deep AC-OPF Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:26.770817Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4bae55e-e2ff-4b5a-9926-72d63283c0b1 · outbound
This paper cites DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks.
Revisiting Deep AC-OPF DeepOPF-U: A Unified Deep Neural Network to Solve AC Optimal Power Flow in Multiple Networks
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:26.774689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 27c0333d-a370-47b4-aac6-7e69d62e0e05 · outbound
This paper cites Topology-aware graph neural networks for learning feasible and adaptive ac-opf solutions.
Revisiting Deep AC-OPF Topology-aware graph neural networks for learning feasible and adaptive ac-opf solutions
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.133688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 079b1612-178e-42af-9690-0a60aa9c6002 · outbound
This paper cites Optimal power flow using graph neural networks.
Revisiting Deep AC-OPF Optimal power flow using graph neural networks
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:26.782845Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 32975b81-5dfb-4c51-8714-73676e5b435a · outbound
This paper cites Unsupervised Optimal Power Flow Using Graph Neural Networks.
Revisiting Deep AC-OPF Unsupervised Optimal Power Flow Using Graph Neural Networks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:26.786914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccb2e160-acab-440f-b599-28398cd43aec · outbound
This paper cites Reduced optimal power flow using graph neural network.
Revisiting Deep AC-OPF Reduced optimal power flow using graph neural network
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.120795Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0b455a42-602a-4b9b-b053-0a2f17beedc8 · outbound
This paper cites CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations.
Revisiting Deep AC-OPF CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T13:25:26.794918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 982f7fcf-cd08-4c81-81b2-b81836b3be04 · outbound
This paper cites Learning an Optimally Reduced Formulation of OPF through Meta-optimization.
Revisiting Deep AC-OPF Learning an Optimally Reduced Formulation of OPF through Meta-optimization
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T13:25:27.478226Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 338e7b0e-5dac-4be4-b67d-8b57c1ed3a84 · outbound
This paper cites Linear power flow calculation methods for urban network.
Revisiting Deep AC-OPF Linear power flow calculation methods for urban network
Reference 24
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T13:25:27.459244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2f4de27a-5300-4772-8900-b27b0a024a47 · outbound
This paper cites A state-independent linear power flow model with accurate estimation of voltage magnitude.
Revisiting Deep AC-OPF A state-independent linear power flow model with accurate estimation of voltage magnitude
Reference 25
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:25:27.366965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation baaf79d2-9982-4d6c-99a4-678607f8edea · outbound
This paper cites A novel network model for optimal power flow with reactive power and network losses.
Revisiting Deep AC-OPF A novel network model for optimal power flow with reactive power and network losses
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.108116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a344c91c-2a89-4314-93da-e978c9219ae1 · outbound
This paper cites A linearized opf model with reactive power and voltage magnitude: A pathway to improve the mw-only dc opf.
Revisiting Deep AC-OPF A linearized opf model with reactive power and voltage magnitude: A pathway to improve the mw-only dc opf
Reference 27
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:25:27.278105Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e48c9cd3-5e2c-4423-a0b0-04d4f42984de · outbound
This paper cites A general formulation of linear power flow models: Basic theory and error analysis.
Revisiting Deep AC-OPF A general formulation of linear power flow models: Basic theory and error analysis
Reference 28
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:25:27.198587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 33b05fb5-e5c1-405b-a6d8-d11ec6a7be2c · outbound
This paper cites Heydt, Vijay Vittal, and Jaime Quintero.
Revisiting Deep AC-OPF Heydt, Vijay Vittal, and Jaime Quintero
Reference 29
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:25:27.090204Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation f178c72c-eff4-4bb5-8202-85a61da45dc7 · outbound
This paper cites an unresolved cited work.
Revisiting Deep AC-OPF Unresolved cited work
Reference 30
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-05T13:25:27.014117Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fedc7550-e3fc-4eac-b991-b0c3ce95e4ff · outbound
This paper cites Matpower.
Revisiting Deep AC-OPF Matpower
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T13:25:28.094877Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.