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grouper

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

grouper appears in the code Syntology harvested for 19 papers, as 10 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 5 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 grouper 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 4 of the 10 distinct code bodies named grouper; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
3ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 19 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

19 papers shown of 19, newest first; 19 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 2 papers added by Syntology; 3 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
Matching Meaning at Scale: Evaluating Semantic Search for 18th-Century Intellectual History through the Case of Locke added by Syntology 2026-05 (from id) TurkuNLP/semantic-sim/interactive_index.py 2d0224d483d91857 ran Apache-2.0 (permissive)
Learning Dynamic Collaborative Network for Semi-supervised 3D Vessel Segmentation added by Syntology 2026-01 (from id) xujiaommcome/DiCo/code/dataloaders/dataset.py c7ba8abbb7422762 unverified no licence file found · pointer only
VisualWebInstruct: Scaling up Multimodal Instruction Data through Web Search 13 Mar 2025 tiger-ai-lab/visualwebinstruct/VisualWebInstruct/html_download.py e5faa0db66429c23 unverified MIT (permissive)
Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning 9 Oct 2024 abx393/llm-pruning-calibration-data/lib/tasks/util.py a7a81b4c3a6ce8aa ran Apache-2.0 (permissive)
Scaling Offline Model-Based RL via Jointly-Optimized World-Action Model Pretraining 1 Oct 2024 CJReinforce/JOWA/src/save_obs_in_token.py 2444d9ba3dc707f5 ran GPL-3.0 (copyleft) · pointer only
PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation 8 Sep 2024 axi404/pmt/code/dataloaders/la_heart.py c7ba8abbb7422762 unverified no licence file found · pointer only
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning 10 Jun 2024 dojeon-ai/atari-pb/src/common/data_utils.py c62d5f7985717f5c unverified no licence file found · pointer only
Translation Consistent Semi-supervised Segmentation for 3D Medical Images 28 Mar 2022 yyliu01/tracoco/Code/UnetACDC/Dataloader/dataloader.py bafb7215e3542d98 unverified MIT (permissive)
Pretraining Representations for Data-Efficient Reinforcement Learning 9 Jun 2021 mila-iqia/SGI/src/offline_dataset.py 2444d9ba3dc707f5 ran MIT (permissive)
Semi-supervised Medical Image Segmentation through Dual-task Consistency 9 Sep 2020 HiLab-git/DTC/code/dataloaders/la_heart.py c7ba8abbb7422762 unverified MIT (permissive)
Train in Germany, Test in The USA: Making 3D Object Detectors Generalize 17 May 2020 cxy1997/3D_adapt_auto_driving/stat_norm/norm.py 2f84320f2c4da396 ran · our draft was wrong no licence file found · pointer only
Semi-Supervised Semantic Segmentation with Cross-Consistency Training 19 Mar 2020 Luoxd1996/DTC/code/dataloaders/la_heart.py c7ba8abbb7422762 unverified MIT (permissive)
RWR-GAE: Random Walk Regularization for Graph Auto Encoders 12 Aug 2019 MysteryVaibhav/DW-GAE/deepWalk/graph.py ded4ca7d73b1360a unverified MIT (permissive)
Pseudo-Labeling and Confirmation Bias in Deep Semi-Supervised Learning 8 Aug 2019 EricArazo/PseudoLabeling/utils_pseudoLab/TwoSampler.py c7ba8abbb7422762 unverified MIT (permissive)
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium Segmentation 16 Jul 2019 bx0903/pdc/code/dataloaders/la_heart.py c7ba8abbb7422762 unverified MIT (permissive)
DeepSphere: towards an equivariant graph-based spherical CNN 8 Apr 2019 deepsphere/code-iclr20/deepsphere/data.py 7622c18415c6bd78 unverified MIT (permissive)
arXiv:Wang_MCF_Mutual_Correction_Framework_for_Semi-Supervised_Medical_Image_Segmentation_CVPR_2023_paper WYC-321/MCF/code/dataloaders/la_heart.py c7ba8abbb7422762 unverified MIT (permissive)
arXiv:Miao_CauSSL_Causality-inspired_Semi-supervised_Learning_for_Medical_Image_Segmentation_ICCV_2023_paper JuzhengMiao/CauSSL/dataloaders/CTdataset.py c7ba8abbb7422762 unverified MIT (permissive)
arXiv:Chen_MagicNet_Semi-Supervised_Multi-Organ_Segmentation_via_Magic-Cube_Partition_and_Recovery_CVPR_2023_paper DeepMed-Lab-ECNU/MagicNet/code/dataloaders/dataset.py c7ba8abbb7422762 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