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Paper Citation Record · LEDGER

A Differentiable Newton Euler Algorithm for Multi-body Model Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2010.09802.

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

pith.paper-citation-record.v1
2010.09802 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:04:53.331197Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:28:36.210275Z

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 068bdbf2-7e3a-4ba3-97c7-022e077dda23 · inbound

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning cites this paper.

Bayesian Inverse Physics for Neuro-Symbolic Robot Learning A Differentiable Newton Euler Algorithm for Multi-body Model Learning

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T05:04:53.331197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:04:53.331197Z digest=sha256:b9191d5ea6d5bb48e15ae3691435c3fe03fb65c7d1e083808555775148d96c25

Observation 6df9eb11-493b-46f7-9b82-f2e9f89a8120 · inbound

Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification cites this paper.

Newtonian and Lagrangian Neural Networks: A Comparison Towards Efficient Inverse Dynamics Identification A Differentiable Newton Euler Algorithm for Multi-body Model Learning

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-06T23:28:36.304760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-08-06T23:28:33.934746Z digest=sha256:19e70543a5ad5e8fdcc5c5ba4499016a6a268737934349914d34785d142663ac