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Paper Citation Record · LEDGER

Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.02698.

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

pith.paper-citation-record.v1
2410.02698 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:17:39.730385Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T14:32:15.034772Z

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 c7b3e324-6b9f-413b-9d05-5bb3273f818d · inbound

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces cites this paper.

Equivariant Eikonal Neural Networks: Grid-Free, Scalable Travel-Time Prediction on Homogeneous Spaces Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:17:39.730385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:17:39.730385Z digest=sha256:c8b7108ece63b3062809776414b72d0eefff276cb1abed8ec5f6baf7d49afed7

Observation 26997fa7-df7e-4a20-8673-09ab648a6864 · inbound

Governing Equation Discovery from Data Based on Differential Invariants cites this paper.

Governing Equation Discovery from Data Based on Differential Invariants Lie Algebra Canonicalization: Equivariant Neural Operators under arbitrary Lie Groups

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:32:15.116020Z

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=pdf_text observed=2026-08-07T14:32:14.275319Z digest=sha256:436c1324a0dd25c78fdc898774386ef0b4b28dee250c2e384b1370ea887e6e77