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Paper Citation Record · LEDGER

Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2012.03448.

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

pith.paper-citation-record.v1
2012.03448 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:50:29.462395Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-04T23:15:52.081627Z

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 22324e29-1541-45a4-998f-9feade89def3 · inbound

Geometric flow regularization in latent spaces for smooth dynamics with the efficient variations of curvature cites this paper.

Geometric flow regularization in latent spaces for smooth dynamics with the efficient variations of curvature Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T04:50:29.462395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:50:29.462395Z digest=sha256:d78a94dea5121b4f9ea0386e54e43f3efdd319feeb99285ec0cda81891d63b4e

Observation 89f82c3d-1f9f-4874-bf5d-580127fab644 · inbound

Data-driven discovery of dynamical models in biology cites this paper.

Data-driven discovery of dynamical models in biology Variational Autoencoders for Learning Nonlinear Dynamics of Physical Systems

Reference 201

Resolution
verified exact
local_arxiv, observed 2026-08-04T23:15:52.087068Z

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=2026-08-04T23:15:51.050092Z digest=sha256:39c956e8eac64f2425fb90349eeb014e625db7315886ad32063ff3f740df2110