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            "citation": "Automated Researchers Can Mitigate Well-Characterized Alignment Failures",
            "url": "https://alignment.anthropic.com/2026/automated-alignment-researchers/"
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      "scope": {
        "description": "Public benchmarks and automated audits are proxies, not overall alignment certification. Capability checks cover selected tasks, the human baseline cannot iterate, and post-hoc cheating detection is imperfect. Persistence after extensive subsequent training and effects on unmeasured capabilities remain untested.",
        "domain": "AI-assisted machine-learning research"
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      "statement": "# Chen, Wen and Kirchner with Claude: automated alignment post-training research\n\nUsed Claude research agents to propose and test post-training methods against ten characterized alignment failures, reporting gains on held-out evaluations and larger models under capability-preservation gates, with a separate early production-model case study. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.\n\n## Scientific scope\n\nPublic benchmarks and automated audits are proxies, not overall alignment certification. Capability checks cover selected tasks, the human baseline cannot iterate, and post-hoc cheating detection is imperfect. Persistence after extensive subsequent training and effects on unmeasured capabilities remain untested.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nChen Yueh-Han; Jiaxin Wen; Jan Hendrik Kirchner\n\nNamed source authors and agent execution are recorded separately; individual effort shares are unknown.\n\nClaude / Anthropic / Claude Opus 4.8: Source-reported main automated researcher proposing and testing post-training methods inside a human-designed benchmark, monitoring and evaluation harness (source reported).\n\nClaude / Anthropic / Claude Sonnet 5: Source-reported data-generation researcher in the separate early production-model alignment case; not the main open-weight experiment model (source reported).\n\n## Original sources\n\n- [Automated Researchers Can Mitigate Well-Characterized Alignment Failures](https://alignment.anthropic.com/2026/automated-alignment-researchers/)\n",
      "summary": "Used Claude research agents to propose and test post-training methods against ten characterized alignment failures, reporting gains on held-out evaluations and larger models under capability-preservation gates, with a separate early production-model case study. Reported result; not independently verified by WRS. Ranked using a provisional grade and reference estimate for the exact claimed result.",
      "title": "Chen, Wen and Kirchner with Claude: automated alignment post-training research"
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