Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning Tubes for Tube MPC
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.01587.
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 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T19:16:17.152035Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T15:22:27.345001Z
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 b5eadf62-9f51-4ba5-9fc4-bdc3f5c8e4e3 · inbound
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning cites this paper.
Uncertainty-Aware Digital Twins: Robust Model Predictive Control using Time-Series Deep Quantile Learning Deep Learning Tubes for Tube MPC
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T19:16:17.152035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 92f58511-1fd5-4f0b-b7d4-348f4af2cfb4 · inbound
Learning-Augmented Online Control for Decarbonizing Water Infrastructures cites this paper.
Learning-Augmented Online Control for Decarbonizing Water Infrastructures Deep Learning Tubes for Tube MPC
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T15:22:27.348587Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3378c6dc-cab0-432c-be8b-b0f1c8bbbc6c · inbound
A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing cites this paper.
A Continual Validation, Updating, and Decision-Making Framework for Self-Adaptive Digital Twins via Robust Model Predictive Control: A Case Study in Additive Manufacturing Deep Learning Tubes for Tube MPC
Reference 91
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T15:54:02.299654Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.