Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.08965.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T21:43:24.274969Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-11T21:43:24.647753Z
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 ce50527b-341c-4a2f-ae80-e2c92572c376 · inbound
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts cites this paper.
Customize Segment Anything Model for Multi-Modal Semantic Segmentation with Mixture of LoRA Experts Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory
Reference 59
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T21:43:24.653869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 7af98264-c41b-48d6-aef7-631fd5985611 · inbound
Dynamical and Optimization Trade-offs of Levi--Civita Coordinates for Learned Close-Encounter Dynamics cites this paper.
Dynamical and Optimization Trade-offs of Levi--Civita Coordinates for Learned Close-Encounter Dynamics Deep Learning Based Dynamics Identification and Linearization of Orbital Problems using Koopman Theory
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T10:28:15.550927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.