Observed arrival · 2026-09-18
Latent Reasoning: A Research Atlas
A focused research atlas on language models that reason in continuous latent space rather than by emitting words.
- For
- AI researchers, technical readers, and model builders
- Worth noticing
- It separates parameter savings, training compute, inference compute, and wall-clock latency instead of treating them as one efficiency measure.
Field notes
The atlas treats latent reasoning as a research object with separate methodological, theoretical, and monitoring questions rather than as a single product claim. Its evidence structure includes named methods, linked papers, implementations, a timeline, and an annotated bibliography. The homepage also preserves important qualifications: continuous thought may widen the intermediate channel, but transcript readability does not follow automatically, and reported gains vary with decoding, training regime, recurrence depth, and the metric being measured.
Observed signals
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