Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.05709.
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 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:37:37.416596Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 9a3e4a07-9c96-4c4f-83de-bc43b2ad9ae2 · inbound
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models cites this paper.
Latent feedback control of distributed systems in multiple scenarios through deep learning-based reduced order models Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
Reference 72
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:37:37.416596Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99a2a926-3384-4462-a387-46bfb3a237a4 · inbound
Employing Deep Neural Operators for PDE control by decoupling training and optimization cites this paper.
Employing Deep Neural Operators for PDE control by decoupling training and optimization Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T11:47:16.010585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 3dabd54f-5f9e-421f-b3a1-8718dd3d3293 · inbound
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control cites this paper.
Local Linearity of LLMs Enables Activation Steering via Model-Based Linear Optimal Control Real-time optimal control of high-dimensional parametrized systems by deep learning-based reduced order models
Reference 22
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T02:32:49.475810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.