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Paper Citation Record · LEDGER

AI Poincar\'{e} 2.0: Machine Learning Conservation Laws from Differential Equations

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2203.12610.

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

pith.paper-citation-record.v1
2203.12610 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:20:15.300719Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T12:14:11.769846Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
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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 f7b7d944-6051-4604-9cc2-85548f83f925 · inbound

Kernel-Based LMI Approaches to Solving the Hamilton-Jacobi-Bellman Equation and Nonlinear Optimal Control cites this paper.

Kernel-Based LMI Approaches to Solving the Hamilton-Jacobi-Bellman Equation and Nonlinear Optimal Control AI Poincar\'{e} 2.0: Machine Learning Conservation Laws from Differential Equations

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-21T12:14:11.772166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T12:11:34.123475Z digest=sha256:372d652edc59f0670fecd1898d0863cbaf84aaaf786c5b822bda4d36dfd44a6e

Observation 0ae5b5bb-55af-461f-9b15-8f58b12868a4 · inbound

Machine-Learning Search for Lax Connections cites this paper.

Machine-Learning Search for Lax Connections AI Poincar\'{e} 2.0: Machine Learning Conservation Laws from Differential Equations

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T04:20:15.300719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:20:15.300719Z digest=sha256:d7bf5da51def84b17dcdc17c232f5e38b0b95e03f7c7ecf2c5315dc66eac092c