{
  "id": "2610.07175",
  "title": "CALR: Continuous Anchored Latent Reasoning via Render-of-Thought Compression",
  "authors": "Zhaoyang Wei, Bowen Jiang, Yanchao Hao, Wenchao Ding, Zheng Wei, Shaocheng Wu, Zhenjun Han, Jianbin Jiao",
  "first_public": "2026-10-05",
  "added_at": "2026-10-18",
  "venue": "arXiv",
  "arxiv": "2610.07175",
  "paper_url": "https://arxiv.org/abs/2610.07175",
  "lens": [
    "continuous"
  ],
  "representation": [
    "continuous-state",
    "multimodal-latent"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "supervised",
    "curriculum"
  ],
  "questions": [
    "capability",
    "efficiency",
    "interpretability"
  ],
  "evidence": [
    "empirical",
    "probing"
  ],
  "modality": [
    "language",
    "symbolic",
    "vision"
  ],
  "summary": "Compresses images of written derivations into continuous states, training both the answers they support and the reasoning that can be recovered from them. Gradually shifts from generating latent blocks in parallel to generating them in sequence.",
  "provenance": "Primary-source literature search, 2026-10-18",
  "author_names": [
    "Zhaoyang Wei",
    "Bowen Jiang",
    "Yanchao Hao",
    "Wenchao Ding",
    "Zheng Wei",
    "Shaocheng Wu",
    "Zhenjun Han",
    "Jianbin Jiao"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.07175/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-07175",
  "citation_date": "2026-10-05",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.07175/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.07175/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.07175/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.07175/citation.csl.json"
}