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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?

Toto, an observability forecasting foundation model, is audit on the Benchmark of Observability Metrics (BOOM) across five series-disjoint resplits, comparing linear probes on its frozen residual stream with models that read the raw input window and with Toto's architecture stripped of its trained configuration.

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

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