AWhat changed
Combined local, random and global attention connections for long text sequences.
Scientific scope
Combined local, random and global attention connections for long text sequences. Linear cost assumes bounded attention neighborhoods; expressivity results have specified theoretical assumptions, not exact equality to every dense attention output.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Linear cost assumes bounded attention neighborhoods; expressivity results have specified theoretical assumptions, not exact equality to every dense attention output.
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.
- Big Bird: Transformers for Longer Sequences
- Zaheer and colleagues: BigBird sparse attention — author or proceedings record
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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