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        "title": "The sleep framework: A new way for LLMs to retain knowledge in continual learning",
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      {
        "title": "Architectural Backdoors for Within-Batch Data Stealing and Model Inference Manipulation",
        "url": "https://deepmind.google/research/publications/149959/",
        "paper": "2505.18323",
        "directory_date": "2026-09-22",
        "classification": "historical directory addition, not October first publication",
        "disposition": "source/history record; do not generate a new-paper count or attack reproduction task",
        "fulltext_review_completed": false
      }
    ],
    "limitations": [
      "Repository created_at dates establish currently observed official public source existence, not complete historical public-visibility provenance.",
      "No entire organization publication inventory exhaustion claimed.",
      "Items only abstract/identity triaged remain distinguishable from fulltext reviews and implemented components.",
      "No GPU/model/data download or experiment executed by this priority source review."
    ]
  },
  "additional_dispositions": [
    {
      "id": "2610.37041",
      "version": "v1",
      "key": "guided-rlvr",
      "domain": "post-training",
      "title": "Guided-RLVR: Guided Exploration in Reinforcement Learning with Verifiable Rewards",
      "paper_url": "https://arxiv.org/abs/2610.37041v1",
      "reviewed_version_url": "https://arxiv.org/html/2610.37041v1",
      "first_author": "Bo Yang",
      "first_author_affiliation": "Beihang University",
      "published_at": "2026-10-27T11:13:13Z",
      "announced_on": "2026-10-28",
      "code": null,
      "code_status": "截至2026-10-29，固定原文/摘要未给公开作者仓库，精确题名查找也未确认原作者代码；不宣称已开源",
      "upstream_revision": null,
      "priority": "P1",
      "intake_class": "new_announcement",
      "implementation_status": "deferred_high_cost",
      "full_experiment_status": "not_reproduced_high_cost",
      "review_resolution": "not_reproduced_high_cost",
      "review_done": true,
      "automatic_retry": false,
      "automatic_implementation_queue": false,
      "cost_assessment": {
        "source_url": "https://arxiv.org/html/2610.37041v1#S4.SS5",
        "source_sections": "Section4.5 Table4, AppendixB/C",
        "available_resource": "one NVIDIA A100 or A30, or local Mac",
        "model_scale": "Qwen2.5-7B-Instruct / Qwen3-4B + jointly trained MLP controller; optional DeepSeek-R1 trace supervised cold-start",
        "data_scale": "MATH/Code-R1各2000训练、500测试；竞赛3任务以2000 DAPO样本训练；G=10，其中8 guided，最多8192tokens",
        "measured_paper_cost": "作者独立MATH timing: one RTX PRO6000 Blackwell,5000steps,17.92GPUh for Guided-RLVR(no cold-start),vs15.92GRPO; this is author measurement,not local",
        "decision": "成本过高，不复现（审查 DONE）；不下载大模型/trace，不启动训练探针或多臂benchmark，不自动重试"
      },
      "method": "句界、高entropy且满足间隔时，轻量控制器选语义steering token，采样侧加非负logit偏置；correct且实际采到promotion的math rollout才加log-perplexity差bonus。训练policy以同前缀未加boost的old/current比率更新，controller以成功intervention事件和共享group advantage更新。",
      "fidelity_caveat": "AppendixA Eq5的exact delta与Eq6/final使用近似delta不同；ptarget=.5时近似delta=-log(pk)>0，即pk>.5仍增加，而正文‘已超过target就clip0’文字并不随近似成立。不能无说明改用exact公式并称完整忠实原实现。AppendixB.2阈值需明确当前entropy加入窗口时序，先不以自行假定填补controller。",
      "source_evidence": [
        "https://arxiv.org/abs/2610.37041v1",
        "https://arxiv.org/html/2610.37041v1#S3.SS2",
        "https://arxiv.org/html/2610.37041v1#A1",
        "https://arxiv.org/html/2610.37041v1#S4.SS5"
      ]
    }
  ],
  "full_bulletin_full_text_review_complete": false,
  "limitations": [
    "Latest actual official bulletin is Oct28; no Oct29 announcement is fabricated.",
    "Recent pages include Oct27 plus overlap; listings and replacements are not new first-publication counts.",
    "Official-source comparison is bounded and partly reconstructed, not whole-web exhaustiveness.",
    "Eight accepted L1 components do not establish model capabilities or full reproduction.",
    "Sleep and HOPE are historical official-source-triggered backfills; EG2/RPL updates retain existing identities.",
    "The global full-review watermark remains Oct15; this selected delivery does not close every recalled identity."
  ]
}