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1. Curbing Feature Coding: Strictly Local Feature Assignment

   Graf, Thomas (January 2020, Proceedings of the Society for Computation in Linguistics)

   Graf (2017) warns that every syntactic formalism faces a severe overgeneration problem because of the hidden power of subcategorization. Any constraint definable in monadic second-order logic can be compiled into the category system so that it is indirectly enforced as part of subcategorization. Not only does this kind of feature coding deprive syntactic proposals of their empirical bite, it also undermines computational efforts to limit syntactic formalisms via subregular complexity. This paper presents a subregular solution to feature coding. Instead of features being a cheap resource that comes for free, features must be assigned by a transduction. In particular, category features must be assigned by an input strictly local (ISL) tree-tot-tree transduction, defined here for the first time. The restriction to ISL transductions correctly rules out various deviant category systems. 

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2. Feature preserving data assimilation via feature alignment

   https://doi.org/10.1016/j.cma.2025.118345  

   Subrahmanya, Amit N; Sandu, Adrian (September 2025, Computer Methods in Applied Mechanics and Engineering)
3. Capture the Feature Flag: Detecting Feature Flags in Open-Source

   https://doi.org/10.1145/3379597.3387463  

   Meinicke, J; Hoyos, J; Vasilescu, B; Kästner, C. (January 2020, International Conference on Mining Software Repositories)
4. Random Feature Amplification: Feature Learning and Generalization in Neural Networks

   Frei, Spencer; Chatterji, Niladri S; Bartlett, Peter L (August 2023, Journal of machine learning research)
5. Langmuir cover feature

   Horlacher, Danielle; Warren, Roseanne (July 2024, ACS)

   Ion beam milling can selectively remove a hydrophobic self-assembled monolayer from a silicon wafer surface and effectively regulate the position of surface nanobubbles when immersed in water. The cover illustrates the concept of top-down positioning of surface nanobubbles at sub-100 nm length scale for the first time. 

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