{
  "id": "2610.01177",
  "title": "Temporally-Resolved Token Attribution Reveals the Generation Dynamics of Diffusion Language Models",
  "authors": "Darpan Aswal, Céline Hudelot",
  "first_public": "2026-10-01",
  "lens": [
    "analysis",
    "beyond-sequential"
  ],
  "representation": [
    "hidden-state",
    "discrete-token"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "interpretability",
    "evaluation"
  ],
  "evidence": [
    "formal",
    "empirical"
  ],
  "modality": [
    "language",
    "symbolic"
  ],
  "summary": "Extends integrated-gradient attribution across layers and denoising steps to examine which inputs influence a diffusion model's developing response. Includes multi-hop graph reasoning; the authors present attribution as a complement to, not a replacement for, causal intervention.",
  "computation": [
    "diffusion"
  ],
  "venue": "arXiv",
  "arxiv": "2610.01177",
  "paper_url": "https://arxiv.org/abs/2610.01177",
  "provenance": "Primary-source literature search, 2026-10-18",
  "added_at": "2026-10-18",
  "author_names": [
    "Darpan Aswal",
    "Céline Hudelot"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.01177/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-01177",
  "citation_date": "2026-10-01",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.01177/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.01177/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.01177/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.01177/citation.csl.json"
}