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PointnetSAModuleMSG

Syntologyentry name in harvested coderead from the graph 2026-09-24

PointnetSAModuleMSG appears in the code Syntology harvested for 9 papers, as 21 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 1 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named PointnetSAModuleMSG do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 21 distinct code bodies named PointnetSAModuleMSG; 20 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
20unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 21 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

9 papers shown of 9, newest first; 21 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
arXiv:2502.01312 2025-02 (from id) chrislin0621/CleanPose/model/Net.py 5bb52eaf3a735b3a unverified MIT (permissive)
Graspness Discovery in Clutters for Fast and Accurate Grasp Detection 17 Jun 2024 graspnet/anygrasp_sdk/pointnet2/pointnet2/pointnet2_modules.py 91c47b2268fcd248 unverified no licence file found · pointer only
MiKASA: Multi-Key-Anchor & Scene-Aware Transformer for 3D Visual Grounding 5 Mar 2024 dfki-av/mikasa-3dvg/models/MiKASA_transformer.py 644b83bc52ec1cc1 unverified no licence file found · pointer only
IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation 23 Mar 2023 cvmi-lab/ist-net/model/ist_net.py e2b1301d9768573d unverified MIT (permissive)
OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds 10 Oct 2022 vlar-group/ogc/models/segnet_ogcdr.py af2fc6415208e147 unverified licence not identified · pointer only
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation Learning 20 Oct 2021 guochengqian/assanet/models/encoder/assanet_encoder.py dff8b526ff3def5f unverified MIT (permissive)
FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation 3 Mar 2021 ethnhe/PVN3D/pvn3d/lib/pvn3d.py 86a12407c21929a5 unverified MIT (permissive)
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps 26 Sep 2020 CZ-Wu/GPNet/lib/gpnet.py 7edcad5893a03f79 unverified no licence file found · pointer only
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 referit3d/referit3d/referit3d/models/backbone/point_net_pp.py d53b2e702a829fb0 ran · metamorphic tier: deterministic MIT (permissive)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 zyang-ur/SAT/referit3d/external_tools/pointnet2/pointnet2_modules.py a80a54dddb6349ae unverified MIT (permissive)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 hoangcuongbk80/VoteGrasp/pointnet2/pointnet2_modules.py 793ed3a4ee8d7bf4 unverified no licence file found · pointer only
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 tao-tao-tao-tao-tao/diffusion_suction/train/models/backbone2/pointnet2/pointnet2_backbone.py 1d8dff9fef819904 unverified no licence file found · pointer only
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 AsahiLiu/PointDetectron/pointnet2/pointnet2_modules.py 6d3f7e94b9d2b11b unverified MIT (permissive)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 Harut0726/votenet/pointnet2/pointnet2_modules.py a3e240dde91b9210 unverified MIT (permissive)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 curryyuan/x-trans2cap/lib/pointnet2/pointnet2_modules.py 46d072d568750005 unverified Apache-2.0 (permissive)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 sshaoshuai/Pointnet2.PyTorch/pointnet2/pointnet2_modules.py e007e97b1d9d744b unverified MIT (permissive)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 zhh6425/LocalContextPropagation/pointnet2/pointnet2_modules.py a7ce6f090a331749 unverified no licence file found · pointer only
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 dfki-av/mikasa-3dvg/models/point_net_pp.py 613ddd5378be9c11 unverified no licence file found · pointer only
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 zaiweizhang/H3DNet/pointnet2/pointnet2_modules.py 1788ad2f156a1b3d unverified MIT (permissive)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 asalarpour/Point_GN/pointnet2_ops_lib/pointnet2_ops/pointnet2_modules.py 843c26df3d1ce95d unverified no licence file found · pointer only
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 7 Jun 2017 nickgkan/butd_detr/pointnet2/pointnet2_modules.py 849da9ddf3201c42 unverified licence not identified · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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