SOURCE-LINKED INTELLIGENCE
ContractEval: Query-Conditioned Execution Matching for Procedural Instruction Conformance
As LLM agents move from answering questions to carrying out procedures, failures can be unwarranted rather than visibly wrong: the final response looks acceptable even though the system skipped the check, branch, dependency, or invariant that made the answer justified. Output-only evaluation sees the answer, and trace-aware judging sees activity, but neither identifies which obligations were active for the query. We introduce CONTRACTEVAL, a diagnostic framework for making those active obligations explicit. It represents procedural instructions as query-active obligations and matches them agai
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-08T21:21:16.000Z
First collected: 2026-09-20T19:52:05.078Z. This is not the publication date.