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PointNet

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

PointNet appears in the code Syntology harvested for 5 papers, as 10 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 5 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 PointNet 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 9 of the 10 distinct code bodies named PointNet; 1 is 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
9ran
1unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 10 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

5 papers shown of 5, newest first; 10 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, and the graph's for 1 papers added by Syntology. 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
UST-SSM: Unified Spatio-Temporal State Space Models for Point Cloud Video Modeling added by Syntology 2025-08 (from id) wangzy01/UST-SSM/models/UST.py 413dc21c33750526 ran · metamorphic tier: deterministic no licence file found · pointer only
Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks 20 Apr 2024 r-pad/taxpose/taxpose/nets/transformer_flow.py 79a4b9f82b00cd47 ran · metamorphic tier: invariant fingerprinted MIT (permissive)
LiDAR R-CNN: An Efficient and Universal 3D Object Detector 29 Mar 2021 tusimple/LiDAR_RCNN/src/LiDAR_RCNN/models/point_net.py 6d77160eac6886d0 ran no licence file found · pointer only
Self-Supervised Few-Shot Learning on Point Clouds 29 Sep 2020 charusharma1991/SSL_PointClouds/SSL/model_conv.py 297905ce35b45dde ran fingerprinted no licence file found · pointer only
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 vinits5/learning3d/models/pointnet.py 90de9a977caa457e ran · metamorphic tier: deterministic MIT (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 WangYueFt/dgcnn/pytorch/model.py d49fb29dc696ee6c ran · metamorphic tier: deterministic fingerprinted MIT (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 brendanmallery9/entropic-barycenters/classification_example/pointnet_implementation.py df9cbdf65f14db23 ran fingerprinted MIT (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 opeco17/pointnet/model.py f926ecb7397001aa ran no licence file found · pointer only
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 nikitakaraevv/pointnet/source/model.py 0bb3296226c3f2e6 ran fingerprinted Apache-2.0 (permissive)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 2 Dec 2016 smfirmin/DeepLearningFinalProject/pointnet/model.py 59d97f829f142dbb unverified MIT (permissive)

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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections