Paper Citation Record · LEDGER

Learning Dynamical Systems and Bifurcation via Group Sparsity

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1709.01558.

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

pith.paper-citation-record.v1
1709.01558 v1

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 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:26:32.838101Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T14:20:41.024750Z

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 b7f8fc98-379c-48e9-b070-3e6c71a6fde1 · inbound

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data cites this paper.

NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data Learning Dynamical Systems and Bifurcation via Group Sparsity

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-14T14:26:32.838101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9ea4184-3935-4332-b0cf-5ba1e521f431 · inbound

DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data cites this paper.

DL-PDE: Deep-learning based data-driven discovery of partial differential equations from discrete and noisy data Learning Dynamical Systems and Bifurcation via Group Sparsity

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T13:46:10.276776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c67503d-8e49-42d7-87a8-d01dd1df6471 · inbound

Minimizing information loss reduces spiking neuronal networks to differential equations cites this paper.

Minimizing information loss reduces spiking neuronal networks to differential equations Learning Dynamical Systems and Bifurcation via Group Sparsity

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-12T14:56:51.522513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ec72405-e920-4449-88fb-91f4fd9230f0 · inbound

Data-driven Discovery of Digital Twins in Biomedical Research cites this paper.

Data-driven Discovery of Digital Twins in Biomedical Research Learning Dynamical Systems and Bifurcation via Group Sparsity

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-05T14:20:41.114754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.