AWhat changed
Combines invariant attention weights with equivariant tensor-field value messages to process 3D point clouds while respecting rigid rotations and translations.
Scientific scope
Combines invariant attention weights with equivariant tensor-field value messages to process 3D point clouds while respecting rigid rotations and translations. First two authors share contribution. Reuses tensor-field kernels and representation theory; not an independent invention of their mathematics. Neighborhood-restricted attention cost depends on bounded neighborhood size; unrestricted global attention remains quadratic. General 3D architecture only, without excluded-domain application records.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. First two authors share contribution. Reuses tensor-field kernels and representation theory; not an independent invention of their mathematics. Neighborhood-restricted attention cost depends on bounded neighborhood size; unrestricted global attention remains quadratic. General 3D architecture only, without excluded-domain application records.
Contributors
- Source-listed authors and technical contributors · SCIENCE: Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.
Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.
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