AWhat changed
Elfwing and colleagues studied sigmoid-weighted linear and derivative activations with eligibility-trace RL; Ramachandran and colleagues later evaluated the same self-gated form as Swish and a scaled-parameter variant in deep vision/language networks.
Scientific scope
Elfwing and colleagues studied sigmoid-weighted linear and derivative activations with eligibility-trace RL; Ramachandran and colleagues later evaluated the same self-gated form as Swish and a scaled-parameter variant in deep vision/language networks. One lineage package with two independent source bylines, not two inventions of x*sigmoid(x). February2017original calls the units SiL/SiLd1; OctoberSwishv1 is a self-gated activation report, not the later activation-search paper/title. No absolute first-ever priority adjudication or universal superiority; inherited EE-RBM/gating and separate RL algorithm choices retained.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. One lineage package with two independent source bylines, not two inventions of x*sigmoid(x). February2017original calls the units SiL/SiLd1; OctoberSwishv1 is a self-gated activation report, not the later activation-search paper/title. No absolute first-ever priority adjudication or universal superiority; inherited EE-RBM/gating and separate RL algorithm choices retained.
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.
- Sigmoid-Weighted Linear Units for Neural Network Function Approximation in Reinforcement Learning
- Swish: a Self-Gated Activation Function
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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