Home › Code › length

length

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

length appears in the code Syntology harvested for 22 papers, as 13 distinct code bodies found in 24 places (a place is one code body under one paper). At least one of them ran in 8 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 length 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 5 of the 13 distinct code bodies named length; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
2ran
8unverified
5fingerprinted

Licence is a property of each copy, so it is counted per place: 2 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

22 papers shown of 22, 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. 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
Tactile DreamFusion: Exploiting Tactile Sensing for 3D Generation 9 Dec 2024 ruihangao/tactiledreamfusion/utils.py 43cdc168f88caf9b unverified MIT (permissive)
SADG: Segment Any Dynamic Gaussian Without Object Trackers 28 Nov 2024 yunjinli/SADG-SegmentAnyDynamicGaussian/cam_utils.py 43cdc168f88caf9b unverified MIT (permissive)
GradeADreamer: Enhanced Text-to-3D Generation Using Gaussian Splatting and Multi-View Diffusion 14 Jun 2024 trapoom555/gradeadreamer/gradeadreamer/geometry/dmtet.py de6b9750cabc6a63 ran fingerprinted MIT (permissive)
Hybrid Fourier Score Distillation for Efficient One Image to 3D Object Generation 31 May 2024 Ysz2022/Fourier123/cam_utils.py 43cdc168f88caf9b unverified MIT (permissive)
DreamScene4D: Dynamic Multi-Object Scene Generation from Monocular Videos 3 May 2024 dreamscene4d/dreamscene4d/mesh.py 1e4a5a4be061154e ran fingerprinted MIT (permissive)
Hash3D: Training-free Acceleration for 3D Generation 9 Apr 2024 Adamdad/hash3D/dreamgaussian-hash3d/mesh.py 1e4a5a4be061154e ran fingerprinted no licence file found · pointer only
Hash3D: Training-free Acceleration for 3D Generation 9 Apr 2024 Adamdad/hash3D/dreamgaussian-hash3d/cam_utils.py 43cdc168f88caf9b unverified no licence file found · pointer only
SC4D: Sparse-Controlled Video-to-4D Generation and Motion Transfer 4 Apr 2024 jarrentwu1031/sc4d/cam_utils.py 43cdc168f88caf9b unverified Apache-2.0 (permissive)
SC-GS: Sparse-Controlled Gaussian Splatting for Editable Dynamic Scenes 4 Dec 2023 yihua7/SC-GS/cam_utils.py 43cdc168f88caf9b unverified MIT (permissive)
Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting 20 Dec 2023 junwuzhang19/repaint123/cam_utils.py 43cdc168f88caf9b unverified MIT (permissive)
DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling 28 Nov 2023 alexzhou907/dreampropeller/dreamgaussian/cam_utils.py 43cdc168f88caf9b unverified Apache-2.0 (permissive)
HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting 28 Nov 2023 silence-tang/gaussianip/animation.py 43cdc168f88caf9b unverified MIT (permissive)
TextDeformer: Geometry Manipulation using Text Guidance 26 Apr 2023 threedle/TextDeformer/nvdiffmodeling/src/util.py de6b9750cabc6a63 ran fingerprinted MIT (permissive)
Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation 24 Mar 2023 Gorilla-Lab-SCUT/Fantasia3D/geometry/dmtet.py de6b9750cabc6a63 ran fingerprinted Apache-2.0 (permissive)
Ego-Body Pose Estimation via Ego-Head Pose Estimation 9 Dec 2022 lijiaman/egoego_release/egoego/lafan1/utils.py 5a932f8b8492d39f unverified MIT (permissive)
The Utility of Explainable AI in Ad Hoc Human-Machine Teaming 8 Sep 2022 CORE-Robotics-Lab/Utility-of-Explainable-AI-NeurIPS2021/Python_Examples/malmo.py d1fc77d21d4f192c unverified MIT (permissive)
AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation 22 Dec 2021 mgholamikn/AdaptPose/function_adaptpose/model_pos_eval_angle.py 39dbb3d3a35fee96 unverified MIT (permissive)
Offline Reinforcement Learning with Implicit Q-Learning 12 Oct 2021 dasgringuen/assetto_corsa_gym/assetto_corsa_gym/AssettoCorsaEnv/gap_cpu.py 046abc4b4ab05935 unverified MIT (permissive)
Offline Reinforcement Learning with Implicit Q-Learning 12 Oct 2021 dasgringuen/assetto_corsa_gym/assetto_corsa_gym/AssettoCorsaEnv/gap_torch.py 30afe5f53a0af6db unverified MIT (permissive)
Towards Robustifying NLI Models Against Lexical Dataset Biases 10 May 2020 owenzx/LexicalDebias-ACL2020/models/hex.py bdffe2f0ce34eb31 ran · our draft was wrong fingerprinted MIT (permissive)
Einconv: Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks 13 Aug 2019 pfnet-research/einconv/enumerate_graph.py 7d9af909b59581b7 ran · honoured contract fingerprinted MIT (permissive)
Finding Moments in Video Collections Using Natural Language 30 Jul 2019 escorciav/moments-retrieval-page/np_segments_ops.py d84840dc2bd43436 unverified MIT (permissive)
A simple yet effective baseline for 3d human pose estimation 8 May 2017 sidify/3d-pose-estimation/src/kinematics.py c98211090c8cd833 ran · our draft was wrong fingerprinted MIT (permissive)
Pointer Networks 9 Jun 2015 devsisters/pointer-network-tensorflow/data_loader.py f9e1ca751b8d078c 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