Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2007.01002.
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 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-28T11:36:55.493267Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:36:26.314153Z
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 0a64c9b0-0e70-4053-932c-e35debe92894 · inbound
Self-Supervised Graph Neural Networks for Full-Scale Tertiary Voltage Control cites this paper.
Self-Supervised Graph Neural Networks for Full-Scale Tertiary Voltage Control DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T19:13:09.590074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 9342478f-0f96-4982-bf89-fd495a00e6ba · inbound
Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies cites this paper.
Rethinking Neural Width for Alternating Current Optimal Power Flow Proxies DeepOPF: A Feasibility-Optimized Deep Neural Network Approach for AC Optimal Power Flow Problems
Reference 5
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:36:26.316648Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.