{
  "paper_url": "https://arxiv.org/html/2610.36794v1",
  "source_url": "https://arxiv.org/pdf/2610.36794v1#page=4",
  "figure": "Figure 2",
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  "copyright": "Original paper authors; fixed arXiv v1 license applies",
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  "caption": "Figure 2. Overview of Select-TTT. (1) The frozen LM head maps chunk hidden\nstates to logit space, where query-token scores are aggregated by top- k k mean pooling to assess chunk relevance. (2) Relevance scores are converted\ninto learning-rate multipliers. (3) In-Place TTT computes the NTP-aligned\nfast-weight updates. (4) The multipliers rescale these updates to selectively\nwrite query-relevant information into fast-weight memory.",
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