Proves that conditional residual answer entropy sets the query-time scale under a routed atom-budgeted certified-repair learned-index architecture.
CDFShop: Exploring and optimizing learned index structures
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
A multi-layer ELT data quality framework using LLM semantic tests detected all 16 injected anomalies versus 7 in a manual baseline, with full cross-store agreement in 106 seconds.
IEFF enables retrain-free feature efficiency rollouts in ranking systems by elastically controlling feature coverage at serving time, achieving 5x faster rollouts, zero retraining GPU cost, and 50-55% less performance degradation than abrupt feature removal.
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Residual-Entropy Accounting for Routed Atom-Budgeted Learned Indexes
Proves that conditional residual answer entropy sets the query-time scale under a routed atom-budgeted certified-repair learned-index architecture.