Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2302.03655.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:06:28.364058Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T02:53:55.253899Z
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 5b343642-c19f-4716-9e4e-c67b8cfb8a77 · inbound
Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction cites this paper.
Distributed Equivariant Graph Neural Networks for Large-Scale Electronic Structure Prediction Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:06:28.364058Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7e63633-5952-4b8a-8876-ed5772f38bda · inbound
Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework cites this paper.
Hot-Ham: an accurate and efficient E(3)-equivariant machine-learning electronic structures calculation framework Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T05:52:52.861314Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e21ce8a4-3eb5-494f-8ec0-6280dedc5837 · inbound
Interpretable Nanoporous Materials Design with Symmetry-Aware Networks cites this paper.
Interpretable Nanoporous Materials Design with Symmetry-Aware Networks Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Reference 70
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T16:08:39.414885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 68896bab-c4e3-4bed-ab3b-fd3100b1652e · inbound
Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks cites this paper.
Fast contracted Clebsch--Gordan tensor products for equivariant graph neural networks Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T03:09:43.949965Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5264a6a0-d1d0-4cb7-8c84-0890005e5531 · inbound
Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction cites this paper.
Velocityformer: Broken-Symmetry-Matched Equivariant Graph Transformers for Cosmological Velocity Reconstruction Reducing SO(3) Convolutions to SO(2) for Efficient Equivariant GNNs
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T02:53:55.255454Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.