Scores Alone Do Not Prove Discovery: The Discovery Certification Protocol for Auditing AI Research Agents
- 类型:arxiv
- 标识:2609.09219
- 链接:https://arxiv.org/abs/2609.09219
- 主分类:agent
- 形态:method
- 被引:2
- 被引来源:Semantic Scholar
- S2被引:2
- OpenAlex被引:0
- 影响力被引:0
- TLDR:The Discovery Certification Protocol (DCP) turns an outcome claim into an executable audit under a registered model, information boundary, and budget, and a deterministic verifier reproduces these local decisions from frozen records.
- OpenAlex ID:W7212191432
- OpenAlex DOI:10.48550/arxiv.2609.09219
- DOI:10.48550/arxiv.2609.09219
- DOI来源:OpenAlex
- 开放获取:green
- 开放获取链接:https://doi.org/10.48550/arxiv.2609.09219
- OpenAlex更新:2026-09-12
- 待LLM分类:否
- 标题中文:分数本身不能证明发现:面向 AI 研究 Agent 审计的发现认证协议
- TLDR中文:Discovery Certification Protocol(DCP)将结果声明转化为在已注册模型、信息边界与预算下的可执行审计,并由确定性验证器基于冻结记录复现本地决策
- 来源文件:
- /inbox/tom/_candidates/2026-09-10-agent-rag-longcontext-candidates.json
- [S2 enrich]
- [OpenAlex backfill]