{
  "id": "2610.30983",
  "title": "A Reality Check of Inference-Time Context Augmentation Methods",
  "authors": "Haeun Yu, Geert Heyman, Pepa Atanasova, Isabelle Augenstein",
  "first_public": "2026-10-22",
  "added_at": "2026-10-23",
  "venue": "arXiv",
  "arxiv": "2610.30983",
  "paper_url": "https://arxiv.org/abs/2610.30983",
  "html_url": "https://arxiv.org/html/2610.30983v1",
  "lens": [
    "learned-tokens",
    "analysis"
  ],
  "representation": [
    "discrete-token"
  ],
  "computation": [
    "token-wise"
  ],
  "training": [
    "analysis-only",
    "inference-only"
  ],
  "questions": [
    "evaluation",
    "limitations",
    "capability"
  ],
  "evidence": [
    "empirical"
  ],
  "modality": [
    "language"
  ],
  "summary": "Tests inserting blank filler, repeated or rephrased sentences, and generated explanations at different points in a prompt. Tracks both corrected and newly broken answers across seven models and three datasets, showing why average accuracy alone can hide unreliable gains.",
  "provenance": "Primary-source literature review, 2026-10-23",
  "author_names": [
    "Haeun Yu",
    "Geert Heyman",
    "Pepa Atanasova",
    "Isabelle Augenstein"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.30983/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-30983",
  "citation_date": "2026-10-22",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.30983/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.30983/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.30983/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.30983/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.30983"
}