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Paper Citation Record · LEDGER

Physics-informed Neural Networks to Model and Control Robots: a Theoretical and Experimental Investigation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2305.05375.

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

pith.paper-citation-record.v1
2305.05375 v3

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 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:01:46.910475Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:39:34.710713Z

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 b7093d81-1e15-46aa-988e-3b1e570cab66 · inbound

Case Studies of Generative Machine Learning Models for Dynamical Systems cites this paper.

Case Studies of Generative Machine Learning Models for Dynamical Systems Physics-informed Neural Networks to Model and Control Robots: a Theoretical and Experimental Investigation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T00:01:46.910475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T00:01:46.910475Z digest=sha256:6a55c04c9f56dbe372c6e97853d8e2eed7a8332b5418b4578602233902c8e432

Observation 364912fc-e43d-4953-a084-ca302d2e0dae · inbound

Learning-Based Modeling of Soft Robots via Cosserat Rod Theory cites this paper.

Learning-Based Modeling of Soft Robots via Cosserat Rod Theory Physics-informed Neural Networks to Model and Control Robots: a Theoretical and Experimental Investigation

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T04:39:34.712273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T16:52:30.567725Z digest=sha256:db53718ddee6148552addae126344212408f4ae950c71a3643b33887e914c7da