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add_argument_group
add_argument_group appears in the code Syntology harvested for 31 papers, as 6 distinct code bodies found in 31 places (a place is one code body under one paper). At least one of them ran in 30 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 add_argument_group 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 6 distinct code bodies named add_argument_group; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 7 of the 31 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
31 papers shown of 31, newest first; 31 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; 4 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| Learning to Make Keypoints Sub-Pixel Accurate | 16 Jul 2024 | kimsinjeong/keypt2subpx/settings.py 8f8a9f02683a9743 |
ran | Apache-2.0 (permissive) |
| Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension | 6 Mar 2024 | liuquan98/eyoc/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook | 8 Dec 2023 | yilmazkadir/segmentation_losses/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | no licence file found · pointer only |
| Specify Robust Causal Representation from Mixed Observations | 21 Oct 2023 | ymy4323460/cari/codebase/method/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | no licence file found · pointer only |
| APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction | 4 May 2023 | liuQuan98/APR/FCGF_APR/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Robust Outlier Rejection for 3D Registration with Variational Bayes | 4 Apr 2023 | Jiang-HB/VBReg/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| ARCS: Accurate Rotation and Correspondence Search | 28 Mar 2022 | zgojcic/3DSmoothNet/core/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | BSD-2-Clause (permissive) |
| You Only Demonstrate Once: Category-Level Manipulation from Single Visual Demonstration | 30 Jan 2022 | wenbowen123/BundleTrack/lf-net-release/common/argparse_utils.py 7ac251a2c9e673b8 |
unverified | Apache-2.0 (permissive) |
| Distantly Supervised Relation Extraction in Federated Settings | 12 Aug 2020 | DianboWork/FedDS/decentralized_main.py fc116b79b5825e85 |
ran · our draft was wrong | no licence file found · pointer only |
| Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization | 29 Jul 2020 | Liumouliu/Deep_blind_PnP/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Lagrangian Neural Style Transfer for Fluids | 2 May 2020 | byungsook/neural-flow-style/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Deep Global Registration | 24 Apr 2020 | chrischoy/FCGF/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Latent Space Subdivision: Stable and Controllable Time Predictions for Fluid Flow | 12 Mar 2020 | lij131/LatentSpaceSubdivision-base/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Continual and Multi-Task Architecture Search | 12 Jun 2019 | ramakanth-pasunuru/CAS-MAS/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| 3DRegNet: A Deep Neural Network for 3D Point Registration | 2 Apr 2019 | identical code first harvested elsewhere 6d80592fd6d47b2d |
ran · our draft was wrong | licence of this copy not recorded |
| The Perfect Match: 3D Point Cloud Matching with Smoothed Densities | 16 Nov 2018 | LONG-9621/Match_SmoothNet/core/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | BSD-2-Clause (permissive) |
| Unifying and Merging Well-trained Deep Neural Networks for Inference Stage | 14 May 2018 | ivclab/NeuralMerger/Fine-tuning/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Zero-Shot Dialog Generation with Cross-Domain Latent Actions | 13 May 2018 | snakeztc/NeuralDialog-ZSDG/simdial-zsdg.py 6d80592fd6d47b2d |
ran · our draft was wrong | Apache-2.0 (permissive) |
| Unsupervised Discrete Sentence Representation Learning for Interpretable Neural Dialog Generation | 22 Apr 2018 | ShiminLei/LA-Dialog-Generation-System/dailydialog-utt-skip.py 6d80592fd6d47b2d |
ran · our draft was wrong | Apache-2.0 (permissive) |
| Learning to Find Good Correspondences | 16 Nov 2017 | identical code first harvested elsewhere 6d80592fd6d47b2d |
ran · our draft was wrong | licence of this copy not recorded |
| CausalGAN: Learning Causal Implicit Generative Models with Adversarial Training | 6 Sep 2017 | identical code first harvested elsewhere 6d80592fd6d47b2d |
ran · our draft was wrong | licence of this copy not recorded |
| Learning from Simulated and Unsupervised Images through Adversarial Training | 22 Dec 2016 | carpedm20/simulated-unsupervised-tensorflow/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | Apache-2.0 (permissive) |
| Structured Sequence Modeling with Graph Convolutional Recurrent Networks | 22 Dec 2016 | youngjoo-epfl/gconvRNN/config.py ae8c11cb85308517 |
ran · our draft was wrong | MIT (permissive) |
| Neural Architecture Search with Reinforcement Learning | 5 Nov 2016 | carpedm20/ENAS-pytorch/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | Apache-2.0 (permissive) |
| Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network | 15 Sep 2016 | identical code first harvested elsewhere 6d80592fd6d47b2d |
ran · our draft was wrong | licence of this copy not recorded |
| Pointer Networks | 9 Jun 2015 | devsisters/pointer-network-tensorflow/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) |
| Recurrent Models of Visual Attention | 24 Jun 2014 | kevinzakka/recurrent-visual-attention/config.py b7dd47e91ac1448a |
ran · our draft was wrong | MIT (permissive) |
| arXiv:aaai_25456 | SuhZhang/ConvMatch/core/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) | |
| arXiv:aaai_19917 | ZhiChen902/DetarNet/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) | |
| arXiv:Zhong_T-Net_Effective_Permutation-Equivariant_Network_for_Two-View_Correspondence_Learning_ICCV_2021_paper | x-gb/T-Net/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | MIT (permissive) | |
| arXiv:Zhang_DeMatch_Deep_Decomposition_of_Motion_Field_for_Two-View_Correspondence_Learning_CVPR_2024_paper | SuhZhang/DeMatch/core/config.py 6d80592fd6d47b2d |
ran · our draft was wrong | 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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