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is_model

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

is_model appears in the code Syntology harvested for 24 papers, as 4 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 3 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 is_model 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 4 distinct code bodies named is_model; 3 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
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 24 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

24 papers shown of 24, newest first; 24 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; 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
FlashFPS: Efficient Farthest Point Sampling for Large-Scale Point Clouds via Pruning and Caching added by Syntology 2026-04 (from id) Yuzhe-Fu/FlashFPS/FlashFPS-Openpoints/openpoints/models/registry.py cd2a47ded9dd84cf unverified licence not identified · pointer only
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation 20 Aug 2024 Javion11/PointLiBR/openpoints/models/registry.py cd2a47ded9dd84cf unverified MIT (permissive)
MambaVision: A Hybrid Mamba-Transformer Vision Backbone 10 Jul 2024 nvlabs/mambavision/mambavision/models/registry.py cd2a47ded9dd84cf unverified no licence file found · pointer only
X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition 23 Apr 2024 sunshuofeng/X-3D/openpoints/models/registry.py cd2a47ded9dd84cf unverified MIT (permissive)
Unleashing Network Potentials for Semantic Scene Completion 12 Mar 2024 fereenwong/ammnet/ammnet/models/registry.py cd2a47ded9dd84cf unverified no licence file found · pointer only
Point Cloud Mamba: Point Cloud Learning via State Space Model 1 Mar 2024 skyworkai/pointcloudmamba/openpoints/models/registry.py cd2a47ded9dd84cf unverified no licence file found · pointer only
Visual In-Context Prompting 22 Nov 2023 ux-decoder/dinov/dinov/architectures/registry.py 86c6e09f9f6f6637 ran no licence file found · pointer only
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning 6 Oct 2023 ucsc-vlaa/fedconv/models/registry.py cd2a47ded9dd84cf unverified MIT (permissive)
Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions 19 Sep 2023 roywangj/adaptpoint/openpoints/models/registry.py cd2a47ded9dd84cf unverified MIT (permissive)
Segment Any Point Cloud Sequences by Distilling Vision Foundation Models 15 Jun 2023 IDEA-Research/OpenSeeD/openseed/architectures/registry.py 86c6e09f9f6f6637 ran Apache-2.0 (permissive)
Self-positioning Point-based Transformer for Point Cloud Understanding 29 Mar 2023 mlvlab/SPoTr/openpoints/models/registry.py cd2a47ded9dd84cf unverified MIT (permissive)
Can CNNs Be More Robust Than Transformers? 7 Jun 2022 ucsc-vlaa/robustcnn/timm/models/registry.py cd2a47ded9dd84cf unverified MIT (permissive)
PointVector: A Vector Representation In Point Cloud Analysis 21 May 2022 guochengqian/openpoints/models/registry.py cd2a47ded9dd84cf unverified MIT (permissive)
A ConvNet for the 2020s 10 Jan 2022 0jason000/convnext/src/model.py b85a6569fd4f3890 unverified Apache-2.0 (permissive)
Masked Autoencoders Are Scalable Vision Learners 11 Nov 2021 0jason000/mae_vit/src/model.py b85a6569fd4f3890 unverified Apache-2.0 (permissive)
Non-deep Networks 14 Oct 2021 imankgoyal/NonDeepNetworks/imagenet/timm/models/registry.py cd2a47ded9dd84cf unverified BSD-3-Clause (permissive)
MLP-Mixer: An all-MLP Architecture for Vision 4 May 2021 MiuGod0126/Mlp-Mixer-Paddle/paddle/models/registry.py cd2a47ded9dd84cf unverified Apache-2.0 (permissive)
CvT: Introducing Convolutions to Vision Transformers 29 Mar 2021 microsoft/CvT/lib/models/registry.py 86c6e09f9f6f6637 ran MIT (permissive)
GhostNet: More Features from Cheap Operations 27 Nov 2019 0jason000/ghostnet/src/model.py b85a6569fd4f3890 unverified Apache-2.0 (permissive)
Densely Connected Convolutional Networks 25 Aug 2016 0jason000/DenseNet/src/model.py b85a6569fd4f3890 unverified Apache-2.0 (permissive)
Rethinking the Inception Architecture for Computer Vision 2 Dec 2015 0jason000/inception_v3/src/model.py b85a6569fd4f3890 unverified Apache-2.0 (permissive)
Going Deeper with Convolutions 17 Sep 2014 0jason000/GoogleNet/src/model.py b85a6569fd4f3890 unverified Apache-2.0 (permissive)
emcee: The MCMC Hammer 2012-02 (from id) dfm/emcee3/emcee3/model.py 83e0386a01c5a548 unverified MIT (permissive)
arXiv:Lin_Meta_Architecture_for_Point_Cloud_Analysis_CVPR_2023_paper linhaojia13/PointMetaBase/openpoints/models/registry.py cd2a47ded9dd84cf 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".

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