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Presents SeaSlides, a framework for agentic slide generation that uses a semantic abstraction layer to preserve content and enable editable artifacts, with backends for HTML and Typst.
This paper introduces Semantic State Abstraction Interfaces (SSAI) to separate representation hypotheses from optimization variance in LLM-augmented portfolio decisions. It concludes that SSAI's apparent advantage is largely a basket-selection effect, with dense encodings and principal components performing better empirically.