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#artificial intelligence Preprint Oct 2026

Expanding LLM Reasoning

Extra inference compute is usually spent on sampling more reasoning chains. We study where inside an existing chain an additional continuation should begin. We define expansion utility, the change in correctness from restarting a chain at a stored step, and measure it at every eligible step for nine models on six bench...

Rian Atri, Evan Luo · 0 citations
#artificial intelligence Preprint Oct 2026

What Does an Observability Foundation Model Know?

A linear probe can show that a label is recoverable from a model's hidden states, but not whether that goes beyond what the input already reveals, or whether the model uses it. We audit Toto, an observability forecasting foundation model, on the Benchmark of Observability Metrics (BOOM) across five series-disjoint resp...

Dhyey Dharmendrakumar Mavani, Rian Atri, Tai-Ran Ji · 0 citations

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