AWhat changed
Defined multi-scale retention with parallel, recurrent and chunkwise-recurrent computations to combine parallel training and fixed-state incremental decoding.
Scientific scope
Defined multi-scale retention with parallel, recurrent and chunkwise-recurrent computations to combine parallel training and fixed-state incremental decoding. Constant per-token decoding cost fixes model/state dimensions; it is not constant cost for an entire sequence or a proof of replacing all Transformers.
Evidence
The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. Constant per-token decoding cost fixes model/state dimensions; it is not constant cost for an entire sequence or a proof of replacing all Transformers.
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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