Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2002.12880.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T20:23:10.544798Z
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 e3269f8c-e185-4828-b533-1e68d9c19a0b · inbound
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases cites this paper.
The Good, The Efficient and the Inductive Biases: Exploring Efficiency in Deep Learning Through the Use of Inductive Biases Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Reference 105
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T20:23:10.544798Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 181225d1-01e8-4b2a-a9af-811f4a116829 · inbound
Learning Broken Symmetries with Approximate Invariance cites this paper.
Learning Broken Symmetries with Approximate Invariance Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T04:33:45.034720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
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.
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 2026-08-15T06:32:42.880941+00:00.