Paper Citation Record · LEDGER

A Robust SINDy Approach by Combining Neural Networks and an Integral Form

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2309.07193.

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

pith.paper-citation-record.v1
2309.07193 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 2026-08-22T06:32:14.747728+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:55:57.520315Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:07:48.110474Z

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 ac2efa14-f715-4e99-a11d-19f9b7385704 · inbound

Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation cites this paper.

Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation A Robust SINDy Approach by Combining Neural Networks and an Integral Form

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-11T17:55:57.520315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9509117-2154-449f-ac66-164b9d45affb · inbound

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations cites this paper.

Sparse Discovery of Functional Relationships in Solutions to Systems of Differential Equations A Robust SINDy Approach by Combining Neural Networks and an Integral Form

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:27:43.222582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7624545-10bf-44d1-88fa-39673df71fc0 · inbound

How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit cites this paper.

How Low Can You Go? Active Learning for Sparse Model Discovery in the Ultra-Low-Data Limit A Robust SINDy Approach by Combining Neural Networks and an Integral Form

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-07-03T09:07:48.111883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 659751ed-d81e-4777-b505-9372b20ecde8 · inbound

On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement cites this paper.

On the post-hoc Evaluation of PDE Discovery: A Multifaceted Challenge of Scientific Advancement A Robust SINDy Approach by Combining Neural Networks and an Integral Form

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-30T13:41:00.401372Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.