arXiv (All)
open access
ReplayLens: Auditing Agents' Use of Outcomes
When an agent reuses logged experience, a changed decision may reflect the recorded score, the action's name, or the record's position in storage. Standard memory evaluations do not reveal which relationship drives that change. We introduce ReplayLens, a black-box audit that changes one relationship
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Structured Security Auditing and Robustness Enhancement for Untrusted Agent Skills#141432
- Auditing Harness Tampering in Self-Improving Agents#819548
- Auditing Harness Tampering in Self-Improving Agents#809552
- TrustErase: Auditable Instant Machine Unlearning with Passport-Embedded Representations#282738
- A KNOWLEDGE-BASED MODEL OF AUDIT RISK#933578
Record · ID 1119250
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive