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Paper Citation Record · LEDGER

Projected Neural Differential Equations for Learning Constrained Dynamics

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.23667.

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

pith.paper-citation-record.v1
2410.23667 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:01:27.491306Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:26:25.440179Z

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 ba641039-8338-4e98-9689-a3d5218ffd75 · inbound

Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints cites this paper.

Semi-Explicit Neural DAEs: Learning Long-Horizon Dynamical Systems with Algebraic Constraints Projected Neural Differential Equations for Learning Constrained Dynamics

Reference 14

Resolution
malformed identifier
no resolver link, observed 2026-08-07T14:01:27.491306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:01:27.491306Z digest=sha256:32febec7116e32229df243b2f18b5f49aad760d64b11b9a9e6fda6a7837b0452

Observation 1e3dd3a3-97d6-45a9-8a4a-a36b79f91ecc · inbound

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

Exact Fixed-Point Constraints in Neural-ODEs with Provable Universality Projected Neural Differential Equations for Learning Constrained Dynamics

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:26:25.443703Z

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=arxiv_source observed=2026-05-12T05:21:34.502248Z digest=sha256:23b5435ce4af6da714f919c405ae0ef47dd3d5dfcbdf4fba982d79505add679f

Observation 4ed704d8-375f-4f3a-bbae-04aa3be8b6b0 · inbound

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers cites this paper.

End-to-End Learning of Safe Optimal Feedback Control in High Dimensions with Control Barrier Function Layers Projected Neural Differential Equations for Learning Constrained Dynamics

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-01T09:44:50.815924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T09:44:50.815924Z digest=sha256:7549f74214e93d1ea702cf1a3f3e629940478f19d9b7ef45741720d758df6321