Paper Citation Record · LEDGER

Universal Approximation Property of Neural Ordinary Differential Equations

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2012.02414.

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

pith.paper-citation-record.v1
2012.02414 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:56:24.240833Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:49:52.989098Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 953a1ff6-a5ae-445d-93dc-4626c3032662 · inbound

Distribution learning via neural differential equations: minimal energy regularization and approximation theory cites this paper.

Distribution learning via neural differential equations: minimal energy regularization and approximation theory Universal Approximation Property of Neural Ordinary Differential Equations

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-09T00:56:24.240833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84d19757-2d81-4da8-b3ef-c878d203419e · inbound

Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees cites this paper.

Universal Approximation Theorems for Dynamical Systems with Infinite-Time Horizon Guarantees Universal Approximation Property of Neural Ordinary Differential Equations

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T03:21:49.785721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7164ff1e-ce08-491b-8222-dcf55d62b2b8 · inbound

Exact Fixed-Point Constraints in Neural-ODEs with Provable Universality cites this paper.

Exact Fixed-Point Constraints in Neural-ODEs with Provable Universality Universal Approximation Property of Neural Ordinary Differential Equations

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:26:25.454510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0252cae8-6218-43dc-bcab-c883ec3f0cc6 · inbound

Approximating velocity fields with planted attractors via Neural-ODEs for classification purposes cites this paper.

Approximating velocity fields with planted attractors via Neural-ODEs for classification purposes Universal Approximation Property of Neural Ordinary Differential Equations

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-04T12:49:52.990568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0328a04f-bb13-4fe9-b369-7ff473762480 · inbound

Approximation and Controllability of Nonlinear Control-Affine Systems via Semiautonomous Neural Ordinary Differential Equations cites this paper.

Approximation and Controllability of Nonlinear Control-Affine Systems via Semiautonomous Neural Ordinary Differential Equations Universal Approximation Property of Neural Ordinary Differential Equations

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T02:54:10.344621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e3ccb5e-afd6-4abb-8062-c4fc760aac0d · inbound

Turnpike and Sparse Optimal Control for Semiautonomous Neural ODEs cites this paper.

Turnpike and Sparse Optimal Control for Semiautonomous Neural ODEs Universal Approximation Property of Neural Ordinary Differential Equations

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T02:44:11.459218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.