Paper Citation Record · LEDGER

Symplectic Recurrent Neural Networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1909.13334.

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

pith.paper-citation-record.v1
1909.13334 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:29:46.455649Z

measured 1 of 1 external citation measurements

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
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malformed identifier0
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External citation measurements

65
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 8b740734-ad56-408a-a945-5585411066b5 · inbound

Learning long range dependencies through time reversal symmetry breaking cites this paper.

Learning long range dependencies through time reversal symmetry breaking Symplectic Recurrent Neural Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T10:29:46.455649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4fb3f704-2134-4316-8222-0b4d78c4a181 · inbound

Chaoticus: a parallel approach to the computation of chaos indicators cites this paper.

Chaoticus: a parallel approach to the computation of chaos indicators Symplectic Recurrent Neural Networks

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-06T21:15:07.546632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88286c98-d1a9-44e3-af32-ec8d8fa658c5 · inbound

Artifacts of Numerical Integration in Learning Dynamical Systems cites this paper.

Artifacts of Numerical Integration in Learning Dynamical Systems Symplectic Recurrent Neural Networks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-19T04:37:04.200662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 367076d5-e06c-4385-9a07-a47480890c4a · inbound

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms cites this paper.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Symplectic Recurrent Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-05T22:33:47.599072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7183fcbf-5abd-4f89-a2a1-c0e4e43ab2ac · inbound

Symplectic Representation of Legendre Dynamics cites this paper.

Symplectic Representation of Legendre Dynamics Symplectic Recurrent Neural Networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-03T14:48:00.709068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61606698-368b-4aed-8f17-b38e26cf2128 · inbound

A hierarchy of thermodynamics learning frameworks for inelastic constitutive modeling cites this paper.

A hierarchy of thermodynamics learning frameworks for inelastic constitutive modeling Symplectic Recurrent Neural Networks

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-02T19:22:12.919302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc9ce8cc-5348-49ea-a9ff-4d7c2dbaa10f · inbound

DustNET: enabling machine learning and AI models of dusty plasmas cites this paper.

DustNET: enabling machine learning and AI models of dusty plasmas Symplectic Recurrent Neural Networks

Reference 234

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:59:52.878039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3bc641db-e39c-403c-b7fb-4e10208b9dfe · inbound

Learning partially observed systems with neural Hamiltonian ordinary differential equations cites this paper.

Learning partially observed systems with neural Hamiltonian ordinary differential equations Symplectic Recurrent Neural Networks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:10:22.205561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54e484fb-3d5a-4680-9470-93d6d8f158f9 · inbound

Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by Generalized Kernel Interpolation cites this paper.

Symplecticity-preserving prediction of parameter-dependent Hamiltonian dynamics by Generalized Kernel Interpolation Symplectic Recurrent Neural Networks

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-06-26T20:19:55.991774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6904dcea-2fd1-484e-bdcc-a6f99e7f9a29 · inbound

Symplectic Neural Networks for Learning Non-Separable Hamiltonians cites this paper.

Symplectic Neural Networks for Learning Non-Separable Hamiltonians Symplectic Recurrent Neural Networks

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:50.210761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.