Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.07575.
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 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:06.310425Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-09T16:31:30.048761Z
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 e7193925-f9bf-4a8b-85f9-6f29ac593e44 · inbound
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills cites this paper.
ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-09T16:31:30.054382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ac88a3d8-4bdf-4de6-bbbe-e879367c610f · inbound
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review cites this paper.
Generative Machine Learning in Adaptive Control of Dynamic Manufacturing Processes: A Review Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T04:51:06.310425Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b442b1bf-bf74-4d01-9aac-ab4e6a4f750c · inbound
Cross-Platform Learnable Fuzzy Gain-Scheduled Proportional-Integral-Derivative Controller Tuning via Physics-Constrained Meta-Learning and Reinforcement Learning Adaptation cites this paper.
Cross-Platform Learnable Fuzzy Gain-Scheduled Proportional-Integral-Derivative Controller Tuning via Physics-Constrained Meta-Learning and Reinforcement Learning Adaptation Self-Supervised Meta-Learning for All-Layer DNN-Based Adaptive Control with Stability Guarantees
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T23:20:35.937513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.