Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2009.04278.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T04:22:03.611646Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T20:30:07.269444Z
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 8d451a7f-4978-427c-9fe4-3e435e4effdb · inbound
Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction cites this paper.
Parallel-in-Time Training of Recurrent Neural Networks for Dynamical Systems Reconstruction DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:12:58.645145Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation d7967e7a-1140-49bc-837a-4403d0d48ced · inbound
Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction cites this paper.
Topological Out-of-Domain Generalization in Dynamical Systems Reconstruction DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T10:19:47.883082Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation fd7adcd2-11f1-4a38-8c8a-a765368cfffc · inbound
$\text{DT}^2$: Decision-Targeted Digital Twins cites this paper.
$\text{DT}^2$: Decision-Targeted Digital Twins DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
Reference 50
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T20:30:07.271237Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 225bbfae-3de5-406f-b366-9b53dcd0df85 · inbound
A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems cites this paper.
A Minimal Interpretable Architecture for Zero-Shot Reconstruction of Dynamical Systems DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T00:46:14.897310Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6870f112-0947-4f9a-b755-fd78dfc22994 · inbound
Flowing Through States: Neural ODE Regularization for Reinforcement Learning cites this paper.
Flowing Through States: Neural ODE Regularization for Reinforcement Learning DyNODE: Neural Ordinary Differential Equations for Dynamics Modeling in Continuous Control
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T04:22:03.611646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.