Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2403.17660.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T04:26:35.179288Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T14:37:03.869128Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 7fbbfe0e-323a-4372-bc25-7f06ed587665 · inbound
Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF cites this paper.
Dynamic Domain Adaptation-Driven Physics-Informed Graph Representation Learning for AC-OPF CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:06:59.194060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 207898e9-c24a-4388-8b1a-b2ef71e08823 · 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 CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T16:02:32.161178Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0b455a42-602a-4b9b-b053-0a2f17beedc8 · inbound
Revisiting Deep AC-OPF cites this paper.
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 e2a77339-68f0-4482-8006-72a19febd335 · 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 CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T08:51:08.890121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7a751cb4-1be8-4e42-bdca-6727b506e3b8 · inbound
Towards Systematic Generalization for Power Grid Optimization Problems cites this paper.
Towards Systematic Generalization for Power Grid Optimization Problems CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 29
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:21:08.632325Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation ec8d9606-a147-45ec-9b3e-316ac013d1df · 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 CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 31
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:26:09.901018Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 36d7c584-e613-4acb-bf8f-1df18811d0d2 · inbound
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models cites this paper.
Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T07:12:28.018435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7aa7693a-d3cf-485d-9e96-dd851db48ccb · 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 CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 19
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T14:37:03.870737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0db2142d-cc38-4943-81b2-14f9237d8fd3 · inbound
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis cites this paper.
GENCO - A Unified Neural Solver Embedded in a Development Framework for Steady-State Grid Analysis CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:26:35.179288Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.