Paper Citation Record · LEDGER

CANOS: A Fast and Scalable Neural AC-OPF Solver Robust To N-1 Perturbations

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2403.17660.

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

pith.paper-citation-record.v1
2403.17660 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:06:59.194060Z

measured 0 of 1 external citation measurements

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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.