AWhat changed
Provides C++ reverse-mode automatic differentiation with extensible typed mathematical/probability functions and functor-based gradient interfaces for inference and optimization.
Scientific scope
Provides C++ reverse-mode automatic differentiation with extensible typed mathematical/probability functions and functor-based gradient interfaces for inference and optimization. This is an implementation/library contribution, not invention of reverse-mode differentiation, the chain rule or Eigen. The implementation design does not certify every benchmark result or arbitrary numerical guarantees. It is distinct from the Stan model language/runtime record.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. This is an implementation/library contribution, not invention of reverse-mode differentiation, the chain rule or Eigen. The implementation design does not certify every benchmark result or arbitrary numerical guarantees. It is distinct from the Stan model language/runtime record.
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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