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arXiv 2610.17724 · cs.AI · 2026-10-13

Evidence-First Agentic Verification

Reza Sanayei, Razvan-Gabriel Dumitru, Sunjie Hou, MohammadHossein Rezaei, Haris Riaz, Robert Vacareanu, Minglai Yang, Ying Liu and 2 more

Scale AI

In latest · #354 Added on 2026-10-24

One-line takeaway

Scale AI's Sauron is an evidence-first agentic verifier for long-horizon, semi-verifiable tasks: it investigates both environment state and execution trace and accepts a claim only after independently validating it, so rubric-based RL rewards don't reinforce unsupported success claims.

Scale AI 的 Sauron 是“证据优先”的智能体评审器:针对长程、半可验证任务,同时检查环境状态和执行轨迹,只有独立核实过来源的说法才采信,避免把智能体自称成功当真、在强化学习中奖励错误行为。

23HF upvotes
3GitHub stars
0Citations (Semantic Scholar)
36.9Buzz score

Read on arXiv PDF Hugging Face discussion Code

About this data

Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-26.

The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.

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