{
  "schema_version": "1.0",
  "snapshot_date": "2026-10-03",
  "period": "2026-w40",
  "captured_at": "2026-10-04T02:32:12+00:00",
  "methodology_version": "m3",
  "snapshot_id": "0641434ff686",
  "fetcher_version": "collect/2.0",
  "license": "CC0-1.0",
  "domain": {
    "slug": "ai",
    "label": "Artificial Intelligence"
  },
  "axes": {
    "github_commit_velocity": "log-slope of weekly commit counts (last 26 weeks); within-cohort robust-z (median/MAD), residualized on log stars. Stars are never scored.",
    "openalex_citation_momentum": "log-slope of citations-per-year measuring recent momentum: partial current year dropped, earliest (birth) year dropped when >=4 exist, >=3 completed years required; within-cohort robust-z, residualized on log total citations.",
    "deps_direct_dependents_momentum": "Unique direct dependents over each frozen-panel system's linkage-verified package union (deps.dev BigQuery Dependents, weekly; intra-panel self-dependents excluded). OLS log1p slope residualized on log1p latest, then within-cohort robust z; 14 CLEAN points and 5 latest dependents; one-way fragility veto; cohort canary floor 0.80. This axis measures the frozen-panel trajectory of the package set selected and linkage-verified as of 2026-07-21. Systems outside that panel are not measured on this axis. Residual survivorship beyond the frozen universe is disclosed, not denied. Source: deps.dev (Google), CC-BY 4.0. Modified: aggregated to system-level counts and momentum scores."
  },
  "gate": "Rising = not incumbent AND cohort_n >= 5 AND >=2 of 3 axes present AND >=2 axes rising. An axis rises when raw slope > 0 AND within-cohort z >= 1; development velocity also requires >=5 average weekly commits. Axis 3 must be scored, pass its cohort canary, and have no fragility veto. No threshold changed from m2.",
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      "label": "Robotics & Embodied AI",
      "industry": "robotics-embodied",
      "sub_niche": "robotics-embodied"
    },
    "ai-drug-discovery": {
      "label": "AI Drug Discovery",
      "industry": "ai-for-science",
      "sub_niche": "ai-drug-discovery"
    },
    "coding-agents": {
      "label": "Coding Agents",
      "industry": "ai-agents",
      "sub_niche": "coding-agents"
    },
    "inference-serving": {
      "label": "Inference & Serving",
      "industry": "ai-infrastructure",
      "sub_niche": "inference-serving"
    },
    "agent-frameworks": {
      "label": "Agent Frameworks",
      "industry": "ai-agents",
      "sub_niche": "agent-frameworks"
    },
    "post-training-alignment": {
      "label": "Post-training & Alignment",
      "industry": "foundation-models",
      "sub_niche": "post-training-alignment"
    },
    "media-generation": {
      "label": "Media Generation",
      "industry": "multimodal-media",
      "sub_niche": "media-generation"
    },
    "multimodal-foundation-models": {
      "label": "Multimodal Foundation Models",
      "industry": "foundation-models",
      "sub_niche": "multimodal-foundation-models"
    },
    "gui-agents": {
      "label": "GUI & Computer-Use Agents",
      "industry": "ai-agents",
      "sub_niche": "gui-agents"
    },
    "unassigned-v1": {
      "label": "Unassigned (AI-v1 census)",
      "industry": "unassigned",
      "sub_niche": "unassigned-v1"
    }
  },
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      "name": "LeRobot",
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      "homepage": "https://github.com/huggingface/lerobot",
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      ],
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      "sub_niche": "robotics-embodied",
      "cohort": "robotics-embodied",
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          "proxy": null
        },
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          "unstable": false,
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      "percentile": 20,
      "confidence": "medium",
      "axes_present": [
        "github_commit_velocity",
        "deps_direct_dependents_momentum"
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      "rising": false,
      "status": "tracked",
      "incumbent": false,
      "note": "Paper exists but 0 citations indexed; axis-2 not yet usable."
    },
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      "entity_id": "e_J4DR3YCQCAN",
      "name": "Genesis",
      "slug": "genesis",
      "entity_type": "repo",
      "homepage": "https://github.com/Genesis-Embodied-AI/genesis-world",
      "github_repo": "Genesis-Embodied-AI/genesis-world",
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          "proxy": null
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      "percentile": 87,
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        "github_commit_velocity"
      ],
      "convergent_axes": [],
      "rising": false,
      "status": "single-axis",
      "incumbent": false,
      "note": "No canonical peer paper in OpenAlex; axis-2 absent."
    },
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      "name": "OpenVLA",
      "slug": "openvla",
      "entity_type": "repo",
      "homepage": "https://openvla.github.io/",
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      ],
      "industry": "robotics-embodied",
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            "2026": 11
          },
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      "name": "dora-rs",
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      "entity_type": "repo",
      "homepage": "https://github.com/dora-rs/dora",
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      ],
      "industry": "robotics-embodied",
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      "percentile": 67,
      "confidence": "medium",
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      "status": "watch",
      "incumbent": false,
      "note": "Title-matching OpenAlex record had author mismatch; treated as axis-2 absent."
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      "entity_id": "e_N0ZEZQYXT6K",
      "name": "Isaac Lab",
      "slug": "isaac-lab",
      "entity_type": "repo",
      "homepage": "https://github.com/isaac-sim/IsaacLab",
      "github_repo": "isaac-sim/IsaacLab",
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          "proxy": "Orbit (the predecessor framework that became Isaac Lab)"
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      "percentile": 93,
      "confidence": "high",
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        "openalex_citation_momentum"
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        "github_commit_velocity",
        "openalex_citation_momentum"
      ],
      "rising": true,
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      "name": "Habitat-Lab",
      "slug": "habitat-lab",
      "entity_type": "repo",
      "homepage": "https://aihabitat.org/",
      "github_repo": "facebookresearch/habitat-lab",
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            "2022": 151,
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      "percentile": 27,
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        "openalex_citation_momentum"
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      "rising": false,
      "status": "tracked",
      "incumbent": false,
      "note": "OpenAlex undercounts vs Scholar; slope direction usable, magnitude not."
    },
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      "name": "MuJoCo",
      "slug": "mujoco",
      "entity_type": "repo",
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      "github_repo": "google-deepmind/mujoco",
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      ],
      "industry": "robotics-embodied",
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      "cohort": "robotics-embodied",
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            "2013": 8,
            "2014": 12,
            "2015": 20,
            "2016": 29,
            "2017": 88,
            "2018": 222,
            "2019": 365,
            "2020": 579,
            "2021": 635,
            "2022": 403,
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      "percentile": 47,
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      "axes_present": [
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      "note": "batch#01 2026-07-01 (taxonomy v1, provisional, not-yet-deployed)"
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      "note": "paper_ref: 2410.07864; batch#01 2026-07-01 (taxonomy v1, provisional, not-yet-deployed)"
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      "note": "paper_ref: 2503.14734; batch#01 2026-07-01 (taxonomy v1, provisional, not-yet-deployed)"
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      "note": "batch#01 2026-07-01 (taxonomy v1, provisional, not-yet-deployed)"
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      "github_repo": "mani-skill/ManiSkill",
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      "industry": "robotics-embodied",
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      "cohort": "robotics-embodied",
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