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Paper Citation Record · LEDGER

AI Poincar\'e: Machine Learning Conservation Laws from Trajectories

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2011.04698.

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

pith.paper-citation-record.v1
2011.04698 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:20:15.150453Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T05:04:37.102250Z

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 949b5660-a31b-4b01-b9cf-d1c972a65ce1 · inbound

Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl cites this paper.

Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl AI Poincar\'e: Machine Learning Conservation Laws from Trajectories

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-13T03:54:08.007214Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T03:54:07.943187Z digest=sha256:733ba84440c83e6c964e3b988f5061081176d4ebf59f935eb5032b8c2eabee27

Observation 1ecde7ae-323e-4cdf-92df-09697f3f87ad · inbound

Symbolic Classification-Enabled LHC Limits Online BSM Global Fits cites this paper.

Symbolic Classification-Enabled LHC Limits Online BSM Global Fits AI Poincar\'e: Machine Learning Conservation Laws from Trajectories

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-05-22T05:04:37.105405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-22T05:03:33.071351Z digest=sha256:76106c1c95a2d1621f9df171710745bedd957749c9a12c2d37aa6e4b040bdbf9

Observation 643dd9e3-edf2-4bd7-9b51-371af8b34ac3 · inbound

Machine-Learning Search for Lax Connections cites this paper.

Machine-Learning Search for Lax Connections AI Poincar\'e: Machine Learning Conservation Laws from Trajectories

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T04:20:15.150453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:20:15.150453Z digest=sha256:5ae7d37bab212689d3f9946879f64132e26f8563c43de8da15eb70cdf00f8d6c