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Review regressions before expanding the test." ], "measure": "Agreement with human review, missed failures, false alarms, and evaluation cost per task.", "decision": "Keep the change only if it meets your preselected quality and latency limits and improves the metric you care about after setup and operating costs. Otherwise retain the baseline. This is an exploration plan, not a validated recommendation." }, "builder_review": null, "arxiv_id": "2609.29773", "title": "Breaking the Environment Wall: Evolving LLM Agent Environments for Recursive Self-Improvement", "summary": "Env-Rethink replaces hand-curated, static agent task environments with an automated pipeline that builds Collection Maps and Event Logs for context, detects environmental noise via a post-trained 27B model, and generates harder evolved environment variants through virtual event histories. 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