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Paper Citation Record · LEDGER

Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2002.12880.

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

pith.paper-citation-record.v1
2002.12880 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:58:38.627300Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T03:49:31.315706Z

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 d5564258-a6d8-453f-b747-83a7863a8c00 · inbound

Symmetry-preserving neural networks in lattice field theories cites this paper.

Symmetry-preserving neural networks in lattice field theories Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T00:58:38.627300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:58:38.627300Z digest=sha256:d8f9d2778f1764bc7331533fcd3c0c0b74f167b0009cfc5d68f8d5f3bedc3956

Observation 0256799e-39d9-4112-92cb-3f72a1660aea · inbound

The Token Is a Group Element: On Lie-Algebra Attention over Matrix Lie Groups cites this paper.

The Token Is a Group Element: On Lie-Algebra Attention over Matrix Lie Groups Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T03:49:31.318094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T17:31:07.841585Z digest=sha256:c2c810aa70c3179af8a62d87ebcb20c5c612c92b1eeab85dd6aff0a2dc92e20b