Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.20617.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T13:53:17.007408Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T18:16:17.926450Z
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 7363cb9a-6bdd-42bb-83bf-ee11a7ef55f2 · inbound
Further extensions on the successive approximation method for hierarchical optimal control problems and its application to learning cites this paper.
Further extensions on the successive approximation method for hierarchical optimal control problems and its application to learning A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T13:53:17.007408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97f0fa51-aeab-4daf-a63a-5130d82a0003 · inbound
On improving generalization in a class of learning problems with the method of small parameters for weakly-controlled optimal gradient systems cites this paper.
On improving generalization in a class of learning problems with the method of small parameters for weakly-controlled optimal gradient systems A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:42:11.842524Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 81aec792-e518-4052-8d65-cc0a0bbdaf93 · inbound
On characterizing optimal learning trajectories in a class of learning problems cites this paper.
On characterizing optimal learning trajectories in a class of learning problems A successive approximation method in functional spaces for hierarchical optimal control problems and its application to learning
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T12:43:25.921636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.