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      "resolution": "bounded_l1_component_accepted",
      "doc": "post-training/2611.02846-specopd/README.md",
      "catalog_key": "specopd",
      "catalog_detail": "post-training/2611.02846-specopd/README.md",
      "track": "post-training",
      "intake_class": "new_first_publication_since_previous_capture",
      "review_done": true,
      "full_experiment_status": "not_reproduced_high_cost",
      "full_experiment_review_done": true,
      "component_implemented": true,
      "component_accepted": true,
      "diagnostic_only": true,
      "promotion_eligible": false,
      "evolve_integrated": false,
      "automatic_retry": false,
      "automatic_implementation_queue": false,
      "verified_priority_organizations": [],
      "full_text_review": {
        "scope": "defining method,evidence,resources,authorship and source-release review; not every reference or appendix claim",
        "full_article_read": false
      },
      "source_provenance": [
        {
          "source_kind": "fixed-primary-paper",
          "source_url": "https://arxiv.org/abs/2611.02846v1"
        }
      ],
      "reason": "固定低成本L1组件已验收；完整高成本实验不复现，不宣称模型能力或Evolve改善",
      "component_evidence": "docs/post-training/2611.02846-specopd/metrics/component-cuda-seeds42-44.json"
    },
    {
      "domain": "post-training",
      "key": "rlid",
      "title": "RLiD: Reinforcement Learning in the Decision Plane for Language Agents and LLMs",
      "paper_url": "https://arxiv.org/abs/2611.02455v1",
      "detail_path": "post-training/2611.02455-rlid/README.md",
      "priority": "P1",
      "first_author": "Ziyi Chen",
      "first_author_affiliation": "University of Illinois Urbana-Champaign",
      "published": "2026-11-02",
      "published_at": "2026-11-02T03:17:51Z",
      "code": null,
      "code_status": "截至2026-11-04，官方abs/HTML未给作者公开仓库URL；文中ldmrl/和llmdistill/raw/路径不是可访问开源链接，精确题名/编号检索未找到已核实作者仓库。本地据公式独立重写",
      "cost_assessment": {
        "source": "Sec.3 compute accounting、Sec.6及Appendix N；https://arxiv.org/html/2611.02455v1#S3",
        "model_scale": "Qwen2.5 0.5B/1.5B/3B/7B及Qwen3.5 2B/4B/9B LoRA rank16；另有跨模型学生",
        "data_scale": "ARC、Countdown、Sokoban、FrozenLake、ALFWorld多环境，多seed、教师轨迹收集、蒸馏及RL",
        "available_resource": "单张NVIDIA A100或A30，或本地Mac",
        "paper_configuration": "ALFWorld每episode最多50步、每组8轨迹；完整训练-蒸馏链路作者报告12.7 H100 GPU-hours，对照17.3 GPU-hours",
        "estimated_cost_basis": "作者实测已为小时级，且其H100结果不能当成本地A100耗时承诺；多环境、多模型与完整轨迹蒸馏矩阵超出本轮低成本预算",
        "decision": "成本过高，不复现（审查 DONE）；只验证数值readout、决策PPO和同策略方差恒等式，不加载权重、不跑环境或完整训练、不自动重试"
      },
      "implementation_status": "component_only",
      "requires_gpu_validation": true,
      "gpu_validation_passed": true,
      "gpu_validation_artifact": "docs/gpu-validations/rlid-a100-20261104.json",
      "id": "2611.02455",
      "status": "implemented",
      "resolution": "bounded_l1_component_accepted",
      "doc": "post-training/2611.02455-rlid/README.md",
      "catalog_key": "rlid",
      "catalog_detail": "post-training/2611.02455-rlid/README.md",
      "track": "post-training",
      "intake_class": "new_first_publication_since_previous_capture",
      "review_done": true,
      "full_experiment_status": "not_reproduced_high_cost",
      "full_experiment_review_done": true,
      "component_implemented": true,
      "component_accepted": true,
      "diagnostic_only": true,
      "promotion_eligible": false,
      "evolve_integrated": false,
      "automatic_retry": false,
      "automatic_implementation_queue": false,
      "verified_priority_organizations": [],
      "full_text_review": {
        "scope": "defining method,evidence,resources,authorship and source-release review; not every reference or appendix claim",
        "full_article_read": false
      },
      "source_provenance": [
        {
          "source_kind": "fixed-primary-paper",
          "source_url": "https://arxiv.org/abs/2611.02455v1"
        }
      ],
      "reason": "固定低成本L1组件已验收；完整高成本实验不复现，不宣称模型能力或Evolve改善",
      "component_evidence": "docs/post-training/2611.02455-rlid/metrics/component-cuda-seeds42-44.json"
    }
  ],
  "additional_dispositions": [
    {
      "title": "FabScore: Fine-Grained Evaluation of Fabrications in Automated AI Research",
      "organization": "Google collaboration",
      "source_url": "https://research.google/pubs/fabscore-fine-grained-evaluation-of-fabrications-in-automated-ai-research-2/",
      "decision": "historical_duplicate_title_with_new_readable_source",
      "review_done": false,
      "blocking": false,
      "evidence": "Old official title already exists in the October archive; the new URL points to readable author PDF and MIT author repository https://github.com/chchenhui/fabscore. OpenReview/API challenge still prevents exact first-publication date confirmation. No November-new identity or implementation is invented.",
      "source_attempts": [
        {
          "url": "https://chchenhui.github.io/papers/FabScore.pdf",
          "result": "readable35-pagePDF;method/figure/taxonomychecked"
        },
        {
          "url": "https://api2.openreview.net/notes?id=6gYWcYQcWM",
          "result": "HTTP403"
        },
        {
          "url": "https://openreview.net/forum?id=6gYWcYQcWM",
          "result": "browserverificationinterstitial"
        }
      ],
      "reopen_condition": "A primary exact original public date becomes available; no periodic retry without changed evidence",
      "automatic_retry": false
    },
    {
      "title": "Entitlement Is Not Authorization",
      "organization": "Google",
      "source_url": "https://research.google/pubs/entitlement-is-not-authorization/",
      "decision": "outside_current_topic_scope",
      "review_done": true,
      "reason": "General entitlement consistency/billing model checking and seeded subscription simulation, not an LLM,Agent,JEPA or search/recommendation method. Google priority does not remove topic boundaries."
    },
    {
      "title": "What Limits Us? Analyzing Self-Reported Limitations in NLP Research",
      "organization": "Google collaboration",
      "id": "2609.15191",
      "source_url": "https://research.google/pubs/what-limits-us-analyzing-self-reported-limitations-in-nlp-research/",
      "decision": "already_reviewed_historical_identity",
      "review_done": true,
      "previous_record": "docs/research-audits/google-emnlp25-closure/review-decisions.json",
      "reason": "Known human-AI qualitative research meta-analysis; new directory URL is not a new autonomous RSI implementation."
    },
    {
      "title": "Hierarchical Functional Fault Grading: A Chiplet-Based Methodology to Supplement Structural ATPG Coverage",
      "organization": "Google",
      "source_url": "https://research.google/pubs/hierarchical-functional-fault-grading-a-chiplet-based-methodology-to-supplement-structural-atpg-coverage-3/",
      "decision": "outside_current_topic_scope",
      "review_done": true,
      "reason": "Manufacturing-defect fault simulation for chiplets,not ML model training/inference or an agent algorithm;no claimed new AI implementation."
    },
    {
      "title": "EmbeddingGemma 2: Unified and Efficient Multimodal Representations",
      "organization": "Google DeepMind",
      "source_url": "https://deepmind.google/research/publications/279443/",
      "decision": "already_catalogued_official_url_addition",
      "review_done": true,
      "catalog_key": "embedding-gemma2",
      "reason": "Known model/paper and existing checkpoints;directory URL delta is not a second model or new-first-publication count."
    }
  ]
}
