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Learned Static Function Data Structures

Summary: Learned static functions: ML predicts per-key value distributions, then encodes each value with a key-specific prefix code stored in a static function structure. Breaks the zero-order entropy barrier for point queries, yielding major space savings over compressed static functions. (summarized by gpt-5.4-mini on Apr 12 2026)

Paper ID
14369
Venue
VLDB
Year
2026
Pagerank
4.1945683e-05
Overall Rank
10,326 | 28.17%
DOI
10.14778/3796195.3796205

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