{
  "id": "2610.09145",
  "title": "Noise Your Prompt: Noising Conditioning Tokens in Continuous Diffusion Language Models",
  "authors": "Justin Jung",
  "first_public": "2026-10-06",
  "lens": [
    "continuous",
    "beyond-sequential"
  ],
  "representation": [
    "continuous-state"
  ],
  "training": [
    "supervised"
  ],
  "questions": [
    "generalization",
    "capability",
    "limitations"
  ],
  "evidence": [
    "empirical",
    "boundary"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Adds noise to conditioning tokens during training instead of keeping the prompt clean. Tests improvements in Sudoku and N-Queens generalization and solution diversity, while reporting that the gains do not transfer to every language-generation task.",
  "computation": [
    "diffusion"
  ],
  "venue": "arXiv",
  "arxiv": "2610.09145",
  "paper_url": "https://arxiv.org/abs/2610.09145",
  "provenance": "Primary-source literature search, 2026-10-18",
  "added_at": "2026-10-18",
  "author_names": [
    "Justin Jung"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.09145/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-09145",
  "citation_date": "2026-10-06",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.09145/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.09145/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.09145/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.09145/citation.csl.json"
}