{
  "id": "2610.33203",
  "title": "Of Chains and Gains: What Reinforcement Learning changes on Reasoning-based Image Quality Assessment",
  "authors": "Yixuan Li, Yuxuan Jiang, Hanwei Zhu, Hancheng Zhu, Fan Zhang, Shiqi Wang, David Bull",
  "first_public": "2026-10-23",
  "added_at": "2026-11-02",
  "venue": "arXiv",
  "arxiv": "2610.33203",
  "paper_url": "https://arxiv.org/abs/2610.33203",
  "lens": [
    "analysis"
  ],
  "representation": [
    "hidden-state"
  ],
  "computation": [
    "depth-wise",
    "token-wise"
  ],
  "training": [
    "analysis-only"
  ],
  "questions": [
    "interpretability",
    "evaluation",
    "limitations"
  ],
  "evidence": [
    "empirical",
    "probing",
    "mechanistic",
    "boundary"
  ],
  "modality": [
    "multimodal",
    "vision"
  ],
  "summary": "Tests how image-quality scores depend on written reasoning and its hidden states before and after reinforcement learning. Chain swaps, filler controls and activation steering separate information that can be read from a state from information that affects the score.",
  "provenance": "Primary-source literature review, 2026-11-02",
  "author_names": [
    "Yixuan Li",
    "Yuxuan Jiang",
    "Hanwei Zhu",
    "Hancheng Zhu",
    "Fan Zhang",
    "Shiqi Wang",
    "David Bull"
  ],
  "record_url": "https://latent-implicit-thinking.github.io/papers/2610.33203/",
  "legacy_record_url": "https://latent-implicit-thinking.github.io/papers/#paper-2610-33203",
  "citation_date": "2026-10-23",
  "json_url": "https://latent-implicit-thinking.github.io/papers/2610.33203/record.json",
  "markdown_url": "https://latent-implicit-thinking.github.io/papers/2610.33203/index.md",
  "bibtex_url": "https://latent-implicit-thinking.github.io/papers/2610.33203/citation.bib",
  "csl_url": "https://latent-implicit-thinking.github.io/papers/2610.33203/citation.csl.json",
  "pdf_url": "https://arxiv.org/pdf/2610.33203"
}