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The Genomics Agent Abstained When Evidence Could Not Settle the Claim
ARGUS keeps deterministic biological computation separate from language-model planning and changes its evidence path with uncertainty.
Summary
ARGUS keeps deterministic biological computation separate from language-model planning and changes its evidence path with uncertainty.
On one well-studied cancer-risk variant, the same planner followed different evidence paths for four transcription factors, rescued one model false negative with experimental data and abstained on mixed or missing evidence. The case study uses real database queries, not simulated observations.
Why it matters
ARGUS keeps deterministic biological computation separate from language-model planning and changes its evidence path with uncertainty.
Limits and context
- The case study uses real database queries, not simulated observations.
Key claims
ARGUS keeps deterministic biological computation separate from language-model planning and changes its evidence path with uncertainty.
Qualification: The case study uses real database queries, not simulated observations.
Evidence: source-2026-10-11-018
Sources
- arXiv preprint 2610.12281, original v1arXiv / submitting research authors · primary research
Corrections
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