Artifact-centered Claim-aware Observability for Autonomous Scientific Agents

2026-08-18

AI Summary

论文提出了一种面向科学自治代理的可观察性框架，通过记录声明相关的产物谱系来解决现有审计工具不足的问题。

Abstract

Autonomous scientific agents now increasingly propose ideas, write code, run experiments, analyze results, and even draft papers. Observe and audit those agents are necessary but logging every model call is not enough, scientists also need to inspect the artifacts and claims that the systems produced and their relations. This is driven by the fact that failures in scientific agent systems are often distributed across several objects. A manuscript claim may cite the wrong evidence, a search process may select a degenerate candidate, a laboratory novelty claim may depend on an unstated rule, or a multi-agent plan may change without a visible trigger. Existing tracing, experiment tracking, and archival provenance tools are valuable, but their native objects do not make these scientific audit relations first-class. We argue that autonomous scientific systems should emit portable, claim-aware artifact lineage as a minimum audit layer. We propose a compact observability profile organized around individuals, operators, fitness records, lineage, archives, runs, streams, and steering commands. In this profile, scientific claims are ordinary individuals with explicit evidence bindings and verification records. The profile is intended as a semantic layer that complements current telemetry and provenance standards. Execution details can remain in OpenTelemetry. Final packages can export to PROV-O or RO-Crate standards.

Problem

• autonomous scientific agents
• observability
• audit relations
• artifact lineage
• scientific claims

Innovation

• Artifact-centered
• Claim-aware
• Observability
• Autonomous Scientific Agents
• Audit