{
  "id": "2610.39853",
  "title": "KV Cache Quantization for Diffusion Language Models",
  "authors": "Yan Tai, Yunan Ding, Guangzhao Li, Siqi Luo, Chaoyang Zhang, Guangtao Zhai, Guodong Guo, Xiaohong Liu",
  "first_public": "2026-10-29",
  "added_at": "2026-11-02",
  "venue": "arXiv",
  "arxiv": "2610.39853",
  "paper_url": "https://arxiv.org/abs/2610.39853",
  "html_url": "https://arxiv.org/html/2610.39853v1",
  "lens": [
    "beyond-sequential"
  ],
  "representation": [
    "discrete-token",
    "cache-memory"
  ],
  "computation": [
    "diffusion"
  ],
  "training": [
    "inference-only"
  ],
  "questions": [
    "efficiency",
    "evaluation"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Calibrates diffusion-language-model cache quantization on intermediate masked states that match the decoding process. Keeps selected keys in high precision to preserve attention choices while quantizing the remaining keys and values.",
  "provenance": "Primary-source literature review, 2026-11-02",
  "author_names": [
    "Yan Tai",
    "Yunan Ding",
    "Guangzhao Li",
    "Siqi Luo",
    "Chaoyang Zhang",
    "Guangtao Zhai",
    "Guodong Guo",
    "Xiaohong Liu"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.39853/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-39853",
  "citation_date": "2026-10-29",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.39853/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.39853/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.39853/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.39853/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.39853"
}