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Paper Citation Record · LEDGER

On Robustness of Neural Ordinary Differential Equations

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1910.05513.

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

pith.paper-citation-record.v1
1910.05513 v4

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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T16:20:50.912707Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T21:56:15.803628Z

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 303b84b7-4110-438f-b710-4a54f1312d38 · inbound

DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling cites this paper.

DGenNO: A Novel Physics-aware Neural Operator for Solving Forward and Inverse PDE Problems based on Deep, Generative Probabilistic Modeling On Robustness of Neural Ordinary Differential Equations

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T16:20:50.912707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T16:20:50.912707Z digest=sha256:3edbcb73e91b0ac5e0569db9eee93a9f3cb6ce5f4d5cacfb1bf7a3e809bc60b9

Observation 5b01edb5-1061-4316-9a67-d32f3f80f78c · inbound

Multiscale Supervised Unbalanced Optimal Transport Flow Matching cites this paper.

Multiscale Supervised Unbalanced Optimal Transport Flow Matching On Robustness of Neural Ordinary Differential Equations

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-20T19:58:58.882089Z

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.

source=pdf_text observed=2026-05-20T19:56:40.957833Z digest=sha256:eab39a132919c82f5607d77c23b71c7054c2063a69999e923c19a30912405dda

Observation 6716b95e-be71-415a-ae5d-455cf6332cb3 · inbound

Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics cites this paper.

Hybrid Neural Ordinary Differential Equations for Data-Efficient Polymerization Modeling with Incomplete Kinetics On Robustness of Neural Ordinary Differential Equations

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-07-01T21:56:15.805050Z

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.

source=pdf_text observed=2026-06-28T16:01:16.642276Z digest=sha256:afef2a443b25e2d926e54bcb0d6e1165d3daefd4d637f577b2cd7cf3e2dd0378

Observation 22d2deef-5d5e-427f-a8e5-8dbb7a473379 · inbound

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier cites this paper.

Robustness Verification of an Autonomous Underwater Vehicle-based Plankton Classifier On Robustness of Neural Ordinary Differential Equations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-11T19:02:37.598360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:02:37.598360Z digest=sha256:a0576666c899e7cc39d186d884bf0cc880af4ca169e07970408e021fb678a85c