Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.16528.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T00:52:48.928874Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 1ebc02da-29e3-4c4a-9088-c9cf3c3eca58 · inbound
SINDybrid: automatic generation of hybrid models for dynamic systems cites this paper.
SINDybrid: automatic generation of hybrid models for dynamic systems ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:52:48.928874Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation faff2e60-5c2f-48fa-8d9b-8b9033b1ea22 · inbound
FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression cites this paper.
FePySR: A Neural Feature Extraction Framework for Efficient and Scalable Symbolic Regression ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-14T20:52:58.881790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1b44f9f0-afc4-4f81-8690-7037426a4753 · inbound
Reliable model selection in the presence of parameter non-identifiability cites this paper.
Reliable model selection in the presence of parameter non-identifiability ADAM-SINDy: An Efficient Optimization Framework for Parameterized Nonlinear Dynamical System Identification
Reference 168
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T02:22:58.525264Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.