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arXiv cs.LG
arXiv cs.LG
7/14/2026
Ablation, Statistical Inference, and Validation for KV-Cache Compression

Ablation, Statistical Inference, and Validation for KV-Cache Compression

Short summary

This study compares Turbo-Quant and SpectralQuant KV-cache compression methods using a statistical validation methodology that separates systematic codec differences from implementation variance. Eigenbasis-based methods fail on heavy-tailed data due to covariance instability but excel in structured regimes. The effective semantic dimension adapts to calibration budgets rather than true data rank.

  • •Compares Turbo-Quant and SpectralQuant KV-cache compression with statistical validation
  • •Eigenbasis methods fail on heavy-tailed data but work well in structured regimes
  • •Effective semantic dimension adapts to calibration budgets, not true data rank

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