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Paper · arXiv

Structure Before Intelligence: Gating What Agentic Scientific Workflows Release

An agentic scientific workflow can run to completion and still release wrong results: a silent numerical error, a stale input, or a defect in a shared upstream step can contaminate several outputs while a sibling branch stays correct. We treat trust in such results as a release decision. A harness around the workflow's directed acyclic graph (DAG) decides which outputs may be used: it enforces mandatory checks, contains failures to the affected branch, recomputes from tracked versions, adds validators, and releases a result only if a risk model estimates its probability of being invalid as low. Language-model agents work inside the harness, choosing corrective actions and reviewing releas...

AuthorsAshish Acharya, Aman Al Amin, Hong Qin
Primary categorycs.AI
Published14 October 2026
Last updated at source14 October 2026
cs.AIq-bio.QM
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