mirror of
https://github.com/harvard-edge/cs249r_book.git
synced 2026-11-09 10:39:41 -06:00
6975 lines
260 KiB
JSON
6975 lines
260 KiB
JSON
{
|
|
"schema_version": 4,
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"description": "Append-only ledger of exposed or burned provenance clusters, work-to-cluster assignments, author/institutional-committee metadata, and the immutable 382-unit Phase 3 historical inventory (pinning passage_kind and passage_sha256 per unit).",
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"cluster_merges": {
|
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"pf_cov_courses_2026_AIE": "pf_huyen_dmls",
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|
"pf_cov_courses_2026_C868": "pf_cmu_llmsys",
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|
"pf_cov_courses_2026_DMLS": "pf_huyen_dmls",
|
|
"pf_cov_courses_2026_HAR": "pf_internal_mlsysbook",
|
|
"pf_cov_courses_2026_M594": "pf_mit_han_tinyml",
|
|
"pf_cov_courses_2026_MLS26": "pf_cov_mlsys_25_26_mlsys2026",
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|
"pf_cov_courses_2026_NIST": "pf_nist_ai_rmf",
|
|
"pf_cov_courses_2026_S329": "pf_huyen_dmls",
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|
"pf_cov_courses_2026_S336": "pf_stanford_cs336",
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"pf_cov_courses_2026_UT378": "pf_ut_cs378"
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},
|
|
"internal_clusters": [
|
|
"pf_cov_courses_2026_HAR",
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|
"pf_internal_mlsysbook",
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|
"pf_mlsysbook_v1_v2_vol1/02_system_paradigms",
|
|
"pf_mlsysbook_v1_v2_vol1/05_nn_computation",
|
|
"pf_mlsysbook_v1_v2_vol1/06_nn_architectures",
|
|
"pf_mlsysbook_v1_v2_vol1/12_benchmarking",
|
|
"pf_mlsysbook_v1_v2_vol1/13_model_serving",
|
|
"pf_mlsysbook_v1_v2_vol2/08_fleet_orchestration",
|
|
"pf_mlsysbook_v1_v2_vol2/10_inference",
|
|
"pf_mlsysbook_v1_v2_vol2/11_edge_intelligence",
|
|
"pf_mlsysbook_v1_v2_vol2/14_robust_ai",
|
|
"pf_mlsysbook_v1_v2_vol2/16_responsible_ai",
|
|
"pf_mlsysbook_v3_v4_vol3/02_foundation_model",
|
|
"pf_mlsysbook_v3_v4_vol3/03_test_time_compute",
|
|
"pf_mlsysbook_v3_v4_vol3/04_context_engineering",
|
|
"pf_mlsysbook_v3_v4_vol3/05_kv_cache",
|
|
"pf_mlsysbook_v3_v4_vol3/06_long_term_memory",
|
|
"pf_mlsysbook_v3_v4_vol3/10_agent_harness",
|
|
"pf_mlsysbook_v3_v4_vol3/15_trajectory_curation",
|
|
"pf_mlsysbook_v3_v4_vol3/17_rlvr",
|
|
"pf_mlsysbook_v3_v4_vol3/19_agent_economics",
|
|
"pf_mlsysbook_v3_v4_vol4/01_boundary",
|
|
"pf_mlsysbook_v3_v4_vol4/02_body",
|
|
"pf_mlsysbook_v3_v4_vol4/03_brain",
|
|
"pf_mlsysbook_v3_v4_vol4/04_nervous",
|
|
"pf_mlsysbook_v3_v4_vol4/05_data",
|
|
"pf_mlsysbook_v3_v4_vol4/06_training",
|
|
"pf_mlsysbook_v3_v4_vol4/07_evaluation",
|
|
"pf_mlsysbook_v3_v4_vol4/08_perception",
|
|
"pf_mlsysbook_v3_v4_vol4/10_intent",
|
|
"pf_mlsysbook_v3_v4_vol4/11_planning",
|
|
"pf_mlsysbook_v3_v4_vol4/12_enforcement",
|
|
"pf_mlsysbook_v3_v4_vol4/13_placement",
|
|
"pf_mlsysbook_v3_v4_vol4/14_intervention",
|
|
"pf_mlsysbook_v3_v4_vol4/15_verification",
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"pf_mlsysbook_v3_v4_vol4/16_release",
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|
"pf_mlsysbook_v3_v4_vol4/18_frontier",
|
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"pf_staffml_heldout_p4",
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"pf_staffml_heldout_q4",
|
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"pf_staffml_heldout_q4_ext"
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],
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|
"editor_affiliated_clusters": [
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"pf_mlperf_inference"
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],
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|
"unexposed_external_reserve_clusters": [],
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"courses_2026_code_legend": {
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"AIE": "Chip Huyen, AI Engineering (O'Reilly, 2025) \u2014 merges into pf_huyen_dmls",
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"B294": "UC Berkeley CS 294-162 Machine Learning Systems (Ion Stoica & Joseph E. Gonzalez)",
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"BAG": "UC Berkeley CS 294-196 Large Language Model Agents (Fall 2024, Dawn Song & Xinyun Chen)",
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"C442": "CMU 15-442 Machine Learning Systems (Zhihao Jia & Tianqi Chen)",
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"C779": "CMU 15-779 Advanced Topics in Machine Learning Systems (Zhihao Jia)",
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"C868": "CMU 11-868 Large Language Model Systems (Spring 2025, Tianqi Chen & Lei Li) \u2014 merges into pf_cmu_llmsys",
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"DLS": "CMU 10-414 / 10-714 Deep Learning Systems (Zico Kolter & Tianqi Chen)",
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"DMLS": "Chip Huyen, Designing Machine Learning Systems (O'Reilly, 2022) \u2014 merges into pf_huyen_dmls",
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"HAR": "Harvard CS 249r Machine Learning Systems (Vijay Janapa Reddi; project-internal) \u2014 merges into pf_internal_mlsysbook",
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"K17": "CMU 17-445 / 17-645 Machine Learning in Production (Christian Kaestner)",
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"M594": "MIT 6.5940 TinyML and Efficient Deep Learning Computing (Fall 2024, Song Han) \u2014 merges into pf_mit_han_tinyml",
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"MLDP": "Lakshmanan, Robinson, Munn, Machine Learning Design Patterns (O'Reilly, 2020)",
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"MLS26": "MLSys 2026 Call for Papers scope \u2014 merges into pf_cov_mlsys_25_26_mlsys2026",
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|
"NIST": "NIST AI 100-1 Artificial Intelligence Risk Management Framework (AI RMF 1.0) \u2014 merges into pf_nist_ai_rmf",
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|
"OSDI": "USENIX OSDI Call for Papers systems-for-ML scope topics",
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"RAT": "ML systems hardware and evaluation metrics curriculum synthesis",
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|
"S329": "Stanford CS 329S Machine Learning Systems Design (Chip Huyen) \u2014 merges into pf_huyen_dmls",
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|
"S336": "Stanford CS 336 Language Modeling from Scratch (Spring 2025, Hashimoto, Liang, Ma) \u2014 merges into pf_stanford_cs336",
|
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"SEI": "CMU Software Engineering Institute (SEI) AI Engineering & Secure Resilient AI guidance",
|
|
"USC": "USC CSCI 699 Safe and Robust Learning for Robotics syllabus",
|
|
"UT378": "UT Austin CS 378 Systems for Machine Learning (Fall 2024, Philipp Krahenbuhl / Aditya Akella) \u2014 merges into pf_ut_cs378"
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|
},
|
|
"burned_or_exposed_cluster_ids": [
|
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"pf_amodei_concrete_safety",
|
|
"pf_barroso_wsc",
|
|
"pf_berkeley_aisafety",
|
|
"pf_cmu_llmsys",
|
|
"pf_cov_courses_2026_AIE",
|
|
"pf_cov_courses_2026_B294",
|
|
"pf_cov_courses_2026_BAG",
|
|
"pf_cov_courses_2026_C442",
|
|
"pf_cov_courses_2026_C779",
|
|
"pf_cov_courses_2026_C868",
|
|
"pf_cov_courses_2026_DLS",
|
|
"pf_cov_courses_2026_DMLS",
|
|
"pf_cov_courses_2026_HAR",
|
|
"pf_cov_courses_2026_K17",
|
|
"pf_cov_courses_2026_M594",
|
|
"pf_cov_courses_2026_MLDP",
|
|
"pf_cov_courses_2026_MLS26",
|
|
"pf_cov_courses_2026_NIST",
|
|
"pf_cov_courses_2026_OSDI",
|
|
"pf_cov_courses_2026_RAT",
|
|
"pf_cov_courses_2026_S329",
|
|
"pf_cov_courses_2026_S336",
|
|
"pf_cov_courses_2026_SEI",
|
|
"pf_cov_courses_2026_USC",
|
|
"pf_cov_courses_2026_UT378",
|
|
"pf_cov_mlsys_25_26_mlsys2025",
|
|
"pf_cov_mlsys_25_26_mlsys2026",
|
|
"pf_cov_sysvenues_2025_asplos2025",
|
|
"pf_cov_sysvenues_2025_eurosys2025",
|
|
"pf_cov_sysvenues_2025_nsdi2025",
|
|
"pf_cov_sysvenues_2025_osdi2025",
|
|
"pf_cov_sysvenues_2025_sosp2025",
|
|
"pf_cov_sysvenues_2026_heldout_asplos2026",
|
|
"pf_cov_sysvenues_2026_heldout_eurosys2026",
|
|
"pf_cov_sysvenues_2026_heldout_nsdi2026",
|
|
"pf_cov_sysvenues_2026_heldout_osdi2026",
|
|
"pf_distserve_osdi24",
|
|
"pf_frontier_scaling_policies",
|
|
"pf_huyen_dmls",
|
|
"pf_internal_mlsysbook",
|
|
"pf_iso42001_pas8800",
|
|
"pf_iso_automotive_ul4600",
|
|
"pf_k8s_ray_serving",
|
|
"pf_kalra_statistical_safety",
|
|
"pf_katz_verification",
|
|
"pf_leveson_stpa",
|
|
"pf_mit_han_tinyml",
|
|
"pf_mlperf_inference",
|
|
"pf_mlsysbook_v1_v2_vol1/02_system_paradigms",
|
|
"pf_mlsysbook_v1_v2_vol1/05_nn_computation",
|
|
"pf_mlsysbook_v1_v2_vol1/06_nn_architectures",
|
|
"pf_mlsysbook_v1_v2_vol1/12_benchmarking",
|
|
"pf_mlsysbook_v1_v2_vol1/13_model_serving",
|
|
"pf_mlsysbook_v1_v2_vol2/08_fleet_orchestration",
|
|
"pf_mlsysbook_v1_v2_vol2/10_inference",
|
|
"pf_mlsysbook_v1_v2_vol2/11_edge_intelligence",
|
|
"pf_mlsysbook_v1_v2_vol2/14_robust_ai",
|
|
"pf_mlsysbook_v1_v2_vol2/16_responsible_ai",
|
|
"pf_mlsysbook_v3_v4_vol3/02_foundation_model",
|
|
"pf_mlsysbook_v3_v4_vol3/03_test_time_compute",
|
|
"pf_mlsysbook_v3_v4_vol3/04_context_engineering",
|
|
"pf_mlsysbook_v3_v4_vol3/05_kv_cache",
|
|
"pf_mlsysbook_v3_v4_vol3/06_long_term_memory",
|
|
"pf_mlsysbook_v3_v4_vol3/10_agent_harness",
|
|
"pf_mlsysbook_v3_v4_vol3/15_trajectory_curation",
|
|
"pf_mlsysbook_v3_v4_vol3/17_rlvr",
|
|
"pf_mlsysbook_v3_v4_vol3/19_agent_economics",
|
|
"pf_mlsysbook_v3_v4_vol4/01_boundary",
|
|
"pf_mlsysbook_v3_v4_vol4/02_body",
|
|
"pf_mlsysbook_v3_v4_vol4/03_brain",
|
|
"pf_mlsysbook_v3_v4_vol4/04_nervous",
|
|
"pf_mlsysbook_v3_v4_vol4/05_data",
|
|
"pf_mlsysbook_v3_v4_vol4/06_training",
|
|
"pf_mlsysbook_v3_v4_vol4/07_evaluation",
|
|
"pf_mlsysbook_v3_v4_vol4/08_perception",
|
|
"pf_mlsysbook_v3_v4_vol4/10_intent",
|
|
"pf_mlsysbook_v3_v4_vol4/11_planning",
|
|
"pf_mlsysbook_v3_v4_vol4/12_enforcement",
|
|
"pf_mlsysbook_v3_v4_vol4/13_placement",
|
|
"pf_mlsysbook_v3_v4_vol4/14_intervention",
|
|
"pf_mlsysbook_v3_v4_vol4/15_verification",
|
|
"pf_mlsysbook_v3_v4_vol4/16_release",
|
|
"pf_mlsysbook_v3_v4_vol4/18_frontier",
|
|
"pf_nist_ai_rmf",
|
|
"pf_onnx_runtime_docs",
|
|
"pf_orca_osdi22",
|
|
"pf_sarathi_osdi24",
|
|
"pf_sglang_neurips24",
|
|
"pf_simplex_cbf_control",
|
|
"pf_slora_mlsys24",
|
|
"pf_specdec_icml23",
|
|
"pf_staffml_heldout_p4",
|
|
"pf_staffml_heldout_q4",
|
|
"pf_staffml_heldout_q4_ext",
|
|
"pf_stanford_cs329t",
|
|
"pf_stanford_cs336",
|
|
"pf_ut_cs378",
|
|
"pf_vllm_sosp23"
|
|
],
|
|
"exposed_cluster_metadata": {
|
|
"pf_amodei_concrete_safety": {
|
|
"authors": [
|
|
"Chris Olah",
|
|
"Dan Mane",
|
|
"Dario Amodei",
|
|
"Jacob Steinhardt",
|
|
"John Schulman",
|
|
"Paul Christiano"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"arxiv:1606.06565"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"arxiv:1606.06565": {
|
|
"authors": [
|
|
"Chris Olah",
|
|
"Dan Mane",
|
|
"Dario Amodei",
|
|
"Jacob Steinhardt",
|
|
"John Schulman",
|
|
"Paul Christiano"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_barroso_wsc": {
|
|
"authors": [
|
|
"Luiz Andre Barroso",
|
|
"Parthasarathy Ranganathan",
|
|
"Urs Hoelzle"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"book:barroso-datacenter-3e-2018"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"book:barroso-datacenter-3e-2018": {
|
|
"authors": [
|
|
"Luiz Andre Barroso",
|
|
"Parthasarathy Ranganathan",
|
|
"Urs Hoelzle"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_berkeley_aisafety": {
|
|
"authors": [
|
|
"Dan Hendrycks",
|
|
"Dawn Song",
|
|
"Jacob Steinhardt"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"course:ucb-cs294-267-aisafety"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"course:ucb-cs294-267-aisafety": {
|
|
"authors": [
|
|
"Dan Hendrycks",
|
|
"Dawn Song",
|
|
"Jacob Steinhardt"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_cmu_llmsys": {
|
|
"authors": [
|
|
"Lei Li",
|
|
"Tianqi Chen"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"course:cmu-11-868-llmsys-2025"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"course:cmu-11-868-llmsys-2025": {
|
|
"authors": [
|
|
"Lei Li",
|
|
"Tianqi Chen"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_cov_courses_2026_B294": {
|
|
"authors": [
|
|
"Ion Stoica",
|
|
"Joseph E. Gonzalez"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"course:ucb-cs294-162-mlsys"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"course:ucb-cs294-162-mlsys": {
|
|
"authors": [
|
|
"Ion Stoica",
|
|
"Joseph E. Gonzalez"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_cov_courses_2026_BAG": {
|
|
"authors": [
|
|
"Dawn Song",
|
|
"Xinyun Chen"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"course:ucb-cs294-196-llm-agents-2024"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"course:ucb-cs294-196-llm-agents-2024": {
|
|
"authors": [
|
|
"Dawn Song",
|
|
"Xinyun Chen"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_cov_courses_2026_C442": {
|
|
"authors": [
|
|
"Tianqi Chen",
|
|
"Zhihao Jia"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"course:cmu-15-442-mlsys"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"course:cmu-15-442-mlsys": {
|
|
"authors": [
|
|
"Tianqi Chen",
|
|
"Zhihao Jia"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_cov_courses_2026_C779": {
|
|
"authors": [
|
|
"Zhihao Jia"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"course:cmu-15-779-adv-mlsys"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
|
|
"work_rosters": {
|
|
"course:cmu-15-779-adv-mlsys": {
|
|
"authors": [
|
|
"Zhihao Jia"
|
|
],
|
|
"institutional_organizations": [],
|
|
"editor_coauthor_5yr": null
|
|
}
|
|
},
|
|
"editor_coauthor_5yr": null
|
|
},
|
|
"pf_cov_courses_2026_DLS": {
|
|
"authors": [
|
|
"Tianqi Chen",
|
|
"Zico Kolter"
|
|
],
|
|
"institutional_author": false,
|
|
"institutional_organizations": [],
|
|
"work_ids": [
|
|
"course:cmu-10-414-dlsys"
|
|
],
|
|
"historical_multi_work_cluster": false,
|
|
"editor_affiliated": false,
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"pf_k8s_ray_serving",
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"pf_ut_cs378",
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"Does not establish source independence, human participation, or correctness of judgments.",
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"Does not establish a recorded pre-exposure registration.",
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"Source artifacts are maintainer-local; hashes alone do not make the study publicly reproducible."
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],
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"P4-COV-systems-venues-2026-051",
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"P4-COV-systems-venues-2026-054",
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"P4-COV-systems-venues-2026-061",
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"P4-COV-systems-venues-2026-063",
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"P4-COV-systems-venues-2026-065",
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"P4-COV-systems-venues-2026-070",
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"P4-COV-systems-venues-2026-072",
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"P4-COV-systems-venues-2026-074",
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"P4-COV-systems-venues-2026-076",
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"P4-COV-systems-venues-2026-077",
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"P4-COV-systems-venues-2026-080",
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"P4-COV-systems-venues-2026-082",
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"P4-COV-systems-venues-2026-085",
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"P4-COV-systems-venues-2026-093",
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"P4-COV-systems-venues-2026-094",
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"P4-COV-systems-venues-2026-095",
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"P4-COV-systems-venues-2026-096",
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"P4-COV-systems-venues-2026-097",
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"P4-COV-systems-venues-2026-098",
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"P4-COV-systems-venues-2026-105",
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"P4-COV-systems-venues-2026-108",
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"P4-COV-systems-venues-2026-109",
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"P4-COV-systems-venues-2026-110",
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"P4-COV-systems-venues-2026-112",
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"P4-COV-systems-venues-2026-114",
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"P4-COV-systems-venues-2026-118",
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"P4-COV-systems-venues-2026-129",
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"P4-COV-systems-venues-2026-131",
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"P4-COV-systems-venues-2026-133",
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"P4-COV-systems-venues-2026-134",
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"P4-COV-systems-venues-2026-135",
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"P4-COV-systems-venues-2026-138",
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"P4-COV-systems-venues-2026-140",
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"P4-COV-systems-venues-2026-141",
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"P4-COV-systems-venues-2026-142",
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"P4-COV-systems-venues-2026-149",
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"P4-COV-systems-venues-2026-150",
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"P4-COV-systems-venues-2026-151",
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"P4-COV-systems-venues-2026-152",
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"P4-COV-systems-venues-2026-157",
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"P4-COV-systems-venues-2026-158",
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"P4-COV-systems-venues-2026-160",
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"P4-COV-systems-venues-2026-163",
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"P4-COV-systems-venues-2026-164",
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"P4-COV-systems-venues-2026-165",
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"P4-COV-systems-venues-2026-169",
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"P4-COV-systems-venues-2026-182",
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"P4-COV-systems-venues-2026-183",
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"P4-COV-systems-venues-2026-188",
|
|
"P4-COV-systems-venues-2026-189",
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"P4-COV-systems-venues-2026-192",
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"P4-S2-STANFORD-CS336-01",
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"P4-S3-SLORA-2024",
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|
"Q4-COV-courses-and-standards-2026-191",
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|
"Q4-COV-systems-venues-2026-186",
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|
"Q4-S2-BERKELEY-CS294-267-01",
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"Q4-S5-NIST-RMF-600-1"
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|
],
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"evaluated_indexing_unit_ids": [
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"P4-S4-HELDOUT-Q-003",
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"P4-S4-HELDOUT-Q-008",
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"P4-S4-HELDOUT-Q-044",
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"P4-S4-HELDOUT-Q-045",
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"P4-S4-HELDOUT-Q-049",
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"P4-S4-HELDOUT-Q-051",
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"P4-S4-HELDOUT-Q-054",
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"P4-S4-HELDOUT-Q-062",
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"P4-S4-HELDOUT-Q-077",
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"P4-S4-HELDOUT-Q-082",
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"P4-S4-HELDOUT-Q-100",
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"P4-S4-HELDOUT-Q-101",
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"P4-S4-HELDOUT-Q-115",
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"P4-S4-HELDOUT-Q-123",
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"P4-S4-HELDOUT-Q-130",
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"P4-S4-HELDOUT-Q-141",
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"P4-S4-HELDOUT-Q-164",
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"P4-S4-HELDOUT-Q-166",
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"P4-S4-HELDOUT-Q-169",
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"P4-S4-HELDOUT-Q-174",
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"P4-S4-HELDOUT-Q-178",
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"P4-S4-HELDOUT-Q-182",
|
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"P4-S4-HELDOUT-Q-198",
|
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"P4-S4-HELDOUT-Q-213",
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"P4-S4-HELDOUT-Q-217",
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"P4-S4-HELDOUT-Q-220",
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"P4-S4-HELDOUT-Q-229",
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"P4-S4-HELDOUT-Q-236",
|
|
"P4-S4-HELDOUT-Q-250",
|
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"P4-S4-HELDOUT-Q-251",
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"P4-S4-HELDOUT-Q-256",
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"P4-S4-HELDOUT-Q-261",
|
|
"P4-S4-HELDOUT-Q-269",
|
|
"P4-S4-HELDOUT-Q-273",
|
|
"P4-S4-HELDOUT-Q-277",
|
|
"P4-S4-HELDOUT-Q-285",
|
|
"Q4-COV-courses-and-standards-2026-191",
|
|
"Q4-S2-BERKELEY-CS294-267-01",
|
|
"Q4-S4-HELDOUT-Q-161",
|
|
"Q4-S4-HELDOUT-Q-246",
|
|
"Q4-S4-SAMPLE1-Q-160",
|
|
"Q4-S4-SAMPLE1-Q-249",
|
|
"Q4-S5-NIST-RMF-600-1"
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|
],
|
|
"counts": {
|
|
"coverage_judgments": 79,
|
|
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|
|
}
|
|
},
|
|
"limitations": [
|
|
"No historical unseal event or prospective registration is reconstructed.",
|
|
"Unknown coauthor status excludes historical sources from independent-source eligibility.",
|
|
"Empty human-registration and cycle-reset lists record no events in this ledger; they are not proof about events outside it."
|
|
]
|
|
}
|
|
}
|