Paper Citation Record · LEDGER

An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.03827.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2403.03827 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:41:22.295412Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T10:53:41.867326Z

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 b85f2268-73ec-4d4e-bae9-0e4c9eb6ab86 · inbound

Data-Driven and Stealthy Deactivation of Safety Filters cites this paper.

Data-Driven and Stealthy Deactivation of Safety Filters An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-12T04:32:21.355917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd4e7191-1e32-415b-8b6b-621dde7d5d1e · inbound

Meta-Learning for Physically-Constrained Neural System Identification cites this paper.

Meta-Learning for Physically-Constrained Neural System Identification An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T21:11:52.474906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f93504-fa9b-4e46-86c2-d0639d573874 · inbound

Efficient identification of linear, parameter-varying, and nonlinear systems with noise models cites this paper.

Efficient identification of linear, parameter-varying, and nonlinear systems with noise models An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T12:41:22.295412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1761261e-dc7e-4a09-aa54-911f801df6ce · inbound

Learning Parametric Convex Functions cites this paper.

Learning Parametric Convex Functions An L-BFGS-B approach for linear and nonlinear system identification under $\ell_1$ and group-Lasso regularization

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:53:41.928098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.