#latent-reasoning

2 articles

01 ·★ MEMBER·PAPER·13 min read Paper Explained: Reason Through the Latent! — Visual information being in a latent state doesn't mean the answer uses it Several latent visual reasoners keep their accuracy even when you corrupt the latent state — the answer is not actually flowing through it. CVRR (arXiv:2609.06746) starts recurrence from the question state after the image has been absorbed, then closes every other image-conditioned route before decoding, making latent computation necessary while keeping performance. A walkthrough grounded only in the paper's text, including its causal interventions. 02 ·Inference & Serving·FREE·PAPER·8 min read Paper explained: BDH-CQ — an AI that thinks without words. Recurrent memory plus latent reasoning resets ARC's cost frontier BDH-CQ (arXiv:2608.09888) never verbalizes its intermediate reasoning: demonstrations are written into a recurrent memory, and the answer is computed by iterating in a high-dimensional latent space. A 150M-parameter model reaches 29.5% pass@2 on ARC-AGI-1 at $0.0007 per task, breaking the reported cost–accuracy Pareto frontier. We explain the paper using only its own text as evidence.