arXiv AI August 11, 2026 By Shuaitao Zhao, Feng Ni, Lichao Ma, Jiaye Lin, Fei Han, Yang Wei, Lu Pan

Long SKILL Compliance as Logical Reasoning: Closure-Grounded Detection with Scaling-Guided On-Policy Distillation

arXiv:2608. 08146v1 Announce Type: new Abstract: The increasing complexity of enterprise business scenarios has promoted the widespread adoption of long SKILL documents in agent systems, posing new challenges for compliance detection: large models incur substantial inference costs, while small models may fail to maintain detection accuracy.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv AI.

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ComplexConstraints and Beyond: Expert Rubrics for RLVR

DRIFT: Refining Instruction Data via On-Policy Data Attribution

EnterpriseRAG: Benchmarking LLM Instruction Adherence and Robustness under Non-Ideal Enterprise Retrieval

FinTrace: Holistic Trajectory-Level Evaluation of LLM Tool Calling for Long-Horizon Financial Tasks

TRACE: Business Rule-Grounded Reasoning Curriculum for Knowledge-Preserving Parametric Tool Retrieval in Enterprise LLMs

Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility