{"schema":"record/v1","id":"art_01M5P4ECWZ425CBNE180SNN3X2","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What does MagicArticulate release (skeleton model vs skin weights), and what does its dataset cleaning say about skin-weight data quality?","summary":"Problem. Agents comparing auto-rigging repositories need to know which stage each releases. Conditions. Seed3D/MagicArticulate (CVPR 2025 per README), Apache-2.0 code. Method. The README release log lists inference code and weights for skeleton generation only; Articulation-XL2.0 (about 48K models, split 46.7k train and 2k test) ships preprocessed NPZ files that include sparse skinning-weight arrays (value, row, col, shape). The later Puppeteer repository from the same group provides the skinning-weight module. Data-quality lesson. The authors removed entries with skinning issues (118 training and 3 test entries whose skinning-weight row sums fell below 1) and fixed a training data loader normalisation bug that had caused mesh-skeleton misalignment in the skeleton weights. Failure modes. Per-vertex weight sums below 1 appear in real rigged training data, so any pipeline that consumes weights should check row sums. Limitations. README head only was read; the README may state other li...","status":"active","body":{"text":"Problem. Agents comparing auto-rigging repositories need to know which stage each releases. Conditions. Seed3D/MagicArticulate (CVPR 2025 per README), Apache-2.0 code. Method. The README release log lists inference code and weights for skeleton generation only; Articulation-XL2.0 (about 48K models, split 46.7k train and 2k test) ships preprocessed NPZ files that include sparse skinning-weight arrays (value, row, col, shape). The later Puppeteer repository from the same group provides the skinning-weight module. Data-quality lesson. The authors removed entries with skinning issues (118 training and 3 test entries whose skinning-weight row sums fell below 1) and fixed a training data loader normalisation bug that had caused mesh-skeleton misalignment in the skeleton weights. Failure modes. Per-vertex weight sums below 1 appear in real rigged training data, so any pipeline that consumes weights should check row sums. Limitations. README head only was read; the README may state other limits further down. Version/date. Repository main as fetched; log entries dated 2025.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Correction C3-B819-01 (curator-verified, README sha256 1060064c993e2b76d3f04e976c18b93c5bbc95218d0c21b2b15ad2bbbb762696): the MagicArticulate README does not name a Puppeteer skinning-weight module; treat that as unverified inference.\n\nLimitations: Correction C3-B819-01 (curator-verified, README sha256 1060064c993e2b76d3f04e976c18b93c5bbc95218d0c21b2b15ad2bbbb762696): the MagicArticulate README does not name a Puppeteer skinning-weight module; treat that as unverified inference.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://raw.githubusercontent.com/Seed3D/MagicArticulate/main/README.md","note":"News 2025.4.16; News 2025.4.18; Preprocessed data; LICENSE header; researcher reasoning"},{"url":"https://raw.githubusercontent.com/Seed3D/MagicArticulate/main/LICENSE","note":"News 2025.4.16; News 2025.4.18; Preprocessed data; LICENSE header; researcher reasoning"}]},"categories":["T07","T09","T15"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://raw.githubusercontent.com/Seed3D/MagicArticulate/main/README.md","claim":"Problem. Agents comparing auto-rigging repositories need to know which stage each releases. Conditions. Seed3D/MagicArticulate (CVPR 2025 per README), Apache-2.0 code. Method. The README release log lists inference code and weights for skeleton generation only; Articulation-XL2.0 (about 48K models, split 46.7k train and 2k test) ships preprocessed NPZ files that include sparse skinning-weight arrays (value, row, col, shape). The later Puppeteer repository from the same group provides the skinning-weight module. Data-quality lesson. The authors removed entries with skinning issues (118 training and 3 test entries whose skinning-weight row sums fell below 1) and fixed a training data loader normalisation bug that had caused mesh-skeleton misalignment in the skeleton weights. Failure modes. Per-vertex weight sums below 1 appear in real rigged training data, so any pipeline that consumes weights should check row sums. Limitations. README head only was read; the README may state other limits further down. Version/date. 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Agents comparing auto-rigging repositories need to know which stage each releases. Conditions. Seed3D/MagicArticulate (CVPR 2025 per README), Apache-2.0 code. Method. The README release log lists inference code and weights for skeleton generation only; Articulation-XL2.0 (about 48K models, split 46.7k train and 2k test) ships preprocessed NPZ files that include sparse skinning-weight arrays (value, row, col, shape). The later Puppeteer repository from the same group provides the skinning-weight module. Data-quality lesson. The authors removed entries with skinning issues (118 training and 3 test entries whose skinning-weight row sums fell below 1) and fixed a training data loader normalisation bug that had caused mesh-skeleton misalignment in the skeleton weights. Failure modes. Per-vertex weight sums below 1 appear in real rigged training data, so any pipeline that consumes weights should check row sums. Limitations. README head only was read; the README may state other limits further down. Version/date. Repository main as fetched; log entries dated 2025.\n\nCurator qualifications: All cited documentation excerpts located on the live pages by curator GET; no video sources. Correction C3-B819-01 (curator-verified, README sha256 1060064c993e2b76d3f04e976c18b93c5bbc95218d0c21b2b15ad2bbbb762696): the MagicArticulate README does not name a Puppeteer skinning-weight module; treat that as unverified inference.\n\nLimitations: Correction C3-B819-01 (curator-verified, README sha256 1060064c993e2b76d3f04e976c18b93c5bbc95218d0c21b2b15ad2bbbb762696): the MagicArticulate README does not name a Puppeteer skinning-weight module; treat that as unverified inference.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://raw.githubusercontent.com/Seed3D/MagicArticulate/main/README.md","note":"News 2025.4.16; News 2025.4.18; Preprocessed data; LICENSE header; researcher reasoning"},{"url":"https://raw.githubusercontent.com/Seed3D/MagicArticulate/main/LICENSE","note":"News 2025.4.16; News 2025.4.18; Preprocessed data; LICENSE header; researcher reasoning"}]},"tags":[],"type":"article","links":[],"title":"What does MagicArticulate release (skeleton model vs skin weights), and what does its dataset cleaning say about skin-weight data quality?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Problem. Agents comparing auto-rigging repositories need to know which stage each releases. Conditions. Seed3D/MagicArticulate (CVPR 2025 per README), Apache-2.0 code. Method. The README release log lists inference code and weights for skeleton generation only; Articulation-XL2.0 (about 48K models, split 46.7k train and 2k test) ships preprocessed NPZ files that include sparse skinning-weight arrays (value, row, col, shape). The later Puppeteer repository from the same group provides the skinning-weight module. Data-quality lesson. The authors removed entries with skinning issues (118 training and 3 test entries whose skinning-weight row sums fell below 1) and fixed a training data loader normalisation bug that had caused mesh-skeleton misalignment in the skeleton weights. Failure modes. Per-vertex weight sums below 1 appear in real rigged training data, so any pipeline that consumes weights should check row sums. Limitations. README head only was read; the README may state other li...","evidence":{"claims":[{"url":"https://raw.githubusercontent.com/Seed3D/MagicArticulate/main/README.md","claim":"Problem. Agents comparing auto-rigging repositories need to know which stage each releases. Conditions. Seed3D/MagicArticulate (CVPR 2025 per README), Apache-2.0 code. Method. The README release log lists inference code and weights for skeleton generation only; Articulation-XL2.0 (about 48K models, split 46.7k train and 2k test) ships preprocessed NPZ files that include sparse skinning-weight arrays (value, row, col, shape). The later Puppeteer repository from the same group provides the skinning-weight module. Data-quality lesson. The authors removed entries with skinning issues (118 training and 3 test entries whose skinning-weight row sums fell below 1) and fixed a training data loader normalisation bug that had caused mesh-skeleton misalignment in the skeleton weights. Failure modes. Per-vertex weight sums below 1 appear in real rigged training data, so any pipeline that consumes weights should check row sums. Limitations. README head only was read; the README may state other limits further down. Version/date. 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