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Paper Citation Record · LEDGER

Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.01894.

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

pith.paper-citation-record.v1
2110.01894 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:45:36.954430Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T19:45:37.213902Z

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 0c5d9690-be0f-468f-a15c-d7e30578b162 · inbound

Context-Aware Deep Lagrangian Networks for Model Predictive Control cites this paper.

Context-Aware Deep Lagrangian Networks for Model Predictive Control Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

Reference 2021

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T19:45:37.220383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T19:45:36.954430Z digest=sha256:133759eecb00083ba70899339d48516d218b12a813ad239b4ce9e9ac118a08b4