Author

Nirdesh Chauhan

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#artificial intelligence Preprint Sep 2026

Can a Cacheable Decision Model Follow Rules?

Certo is a small non-generative decision model (Qwen3-4B): it scores candidate actions from their text and returns a probability, instead of generating an answer. The accurate design reads the state, the rules, and each candidate together (a joint scorer), so cost grows with the menu. Independent encoding lets each can...

D. Rajput, Nirdesh Chauhan, S.Rao Kosaraju · 0 citations

#artificial intelligence Preprint Sep 2026

Cheap Verifiers, Large Blind Spots: Measuring the Reliability Cost of Cost-Saving Cascades

The theory that explains the blindness, the theory that explains the blindness, the two-population conservation law, under which every in-loop metric improves while true quality does not, and a synthetic study that validates the mechanism are given.

D. Rajput, Nirdesh Chauhan, S.Rao Kosaraju · 0 citations