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Paper Citation Record · LEDGER

PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2004.08424.

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

pith.paper-citation-record.v1
2004.08424 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:51.699343Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:49:39.167688Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 7287004a-d2a3-4b57-8104-72092ec7e517 · inbound

SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured Data, with Applications to Stuart-Landau Oscillator Networks cites this paper.

SINDyG: Sparse Identification of Nonlinear Dynamical Systems from Graph-Structured Data, with Applications to Stuart-Landau Oscillator Networks PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-23T21:13:27.914457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-23T21:09:59.732059Z digest=sha256:6ea6eee57ae79ea7768f879de456655388eeb87e4e342629aaca0c369d846264

Observation c60e6d0e-d93e-4336-9d87-a11e5d3fe2e1 · inbound

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks cites this paper.

Hybrid Adaptive Modeling in Process Monitoring: Leveraging Sequence Encoders and Physics-Informed Neural Networks PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:51.699343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:51.699343Z digest=sha256:b4f26f09741cb40e99244b9f69cffb077a5f646c9297a4fb87ab178655a6f0d1

Observation 5455b959-3506-43e2-b293-4e159af62e14 · inbound

The Extended Alpha Group Dynamic Mapping cites this paper.

The Extended Alpha Group Dynamic Mapping PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-19T02:51:59.833880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T02:51:37.827109Z digest=sha256:0b69587227ec226d670f26385422c13105647b5aa01253819bfc6947708e1a8e

Observation 970cafa4-3559-4ea9-b429-8464f24a35c3 · inbound

Discovering Interpretable Ordinary Differential Equations from Noisy Data cites this paper.

Discovering Interpretable Ordinary Differential Equations from Noisy Data PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T12:29:22.193103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:29:22.193103Z digest=sha256:c62694e4f843dc46e41e5c03bac067c6e96c0dfed245b5afc8ad3f7ee48b7d70

Observation 292ab0b8-689b-4ac7-8588-3ef14b7f8b2b · inbound

Data-driven discovery of dynamo cycle equations cites this paper.

Data-driven discovery of dynamo cycle equations PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 38

Resolution
unresolved
no resolver link, observed 2026-07-13T15:56:35.047488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T15:56:35.047488Z digest=sha256:a45f1621d3450bbbdd83559476121838620d029d47712b5d725bd75813328cae

Observation 5a393afd-c84a-4312-ac21-3677f66a77f2 · inbound

Orthogonal Discrepancy Kernels for Learning with Partial Physics cites this paper.

Orthogonal Discrepancy Kernels for Learning with Partial Physics PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T07:49:39.169356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-26T12:50:23.236366Z digest=sha256:a69ad2ff89fa711cd81650ddacb8f14a5ce8574c46ae5164860d98ab833b4bbd

Observation 147c6693-a425-466e-b735-f837bc139293 · inbound

Orthogonal Discrepancy Kernels for Learning with Partial Physics cites this paper.

Orthogonal Discrepancy Kernels for Learning with Partial Physics PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:39:03.149873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-03T23:35:06.241473Z digest=sha256:56db916128cc1ca056c3984555b0f7c786bc23e9a9c13e5a1520648c46f53f3f

Observation e95b186a-7658-4b0d-8934-19b283a2ecb9 · inbound

LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data cites this paper.

LLM-Guided ODE Discovery and Parameter Inference from Small-Cohort Aggregate Data PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:17:08.287100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-07-02T16:15:45.767727Z digest=sha256:ccf034fc4b46fde7168730e3af5aaa1a20df6098e3d7b22649f977a9ec1f6591