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shuffle

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

shuffle appears in the code Syntology harvested for 35 papers, as 30 distinct code bodies found in 35 places (a place is one code body under one paper). At least one of them ran in 19 of the papers; 11 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 shuffle 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 15 of the 30 distinct code bodies named shuffle; 15 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

6ran · honoured contract
2ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
6ran
15unverified
11fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 35 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

35 papers shown of 35, newest first; 35 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; 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
Unlocking the Power of Large Language Models for Multi-Table Entity Matching added by Syntology 2026-04 (from id) Ymeki/LLM4MEM/utils.py c97239d4646d3339 ran fingerprinted no licence file found · pointer only
The Ensemble Inverse Problem: Applications and Methods added by Syntology 2026-01 (from id) ZhengyanHuan/The-Ensemble-Inverse-Problem--Applications-and-Methods/Sec3p2/plot_func.py 84489a68e2b4465d unverified no licence file found · pointer only
OctoThinker: Mid-training Incentivizes Reinforcement Learning Scaling 25 Jun 2025 gair-nlp/octothinker/eval/utils.py 3358374eed4646e4 unverified Apache-2.0 (permissive)
GDeR: Safeguarding Efficiency, Balancing, and Robustness via Prototypical Graph Pruning 17 Oct 2024 ins1stenc3/GDeR/load_dataset.py c9784c69b04f8033 unverified no licence file found · pointer only
Bridging and Modeling Correlations in Pairwise Data for Direct Preference Optimization 14 Aug 2024 YJiangcm/BMC/eval/math/prepare_train_data.py c35f14527d73a1ed ran Apache-2.0 (permissive)
Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations 22 Jun 2024 lorenzobasile/IDCorrelation/utils/metrics.py 50810c2ae403377b ran · honoured contract fingerprinted no licence file found · pointer only
Linguistic Collapse: Neural Collapse in (Large) Language Models 28 May 2024 rhubarbwu/linguistic-collapse/count.py 07dd1a4ae14651c9 ran no licence file found · pointer only
JiuZhang3.0: Efficiently Improving Mathematical Reasoning by Training Small Data Synthesis Models 23 May 2024 rucaibox/jiuzhang3.0/prepare_train_data.py c35f14527d73a1ed ran no licence file found · pointer only
Boosting Unsupervised Segmentation Learning 4 Apr 2024 alperensari/segmentation-tricks/utils_metric.py 205e834237bf794c ran · honoured contract no licence file found · pointer only
EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation 3 Mar 2024 MICV-yonsei/EAGLE/src_EAGLE/utils.py 205e834237bf794c ran · honoured contract MIT (permissive)
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models 5 Feb 2024 deepseek-ai/deepseek-math/evaluation/utils.py 1d4da55afb0377ec ran fingerprinted MIT (permissive)
Gradual Domain Adaptation: Theory and Algorithms 20 Oct 2023 yifei-he/goat/dataset.py 73a5a29137cb1d07 ran fingerprinted MIT (permissive)
Generalized Schrödinger Bridge Matching 3 Oct 2023 facebookresearch/generalized-schrodinger-bridge-matching/gsbm/evaluator.py d0bda32f4b2dc376 ran fingerprinted licence not identified · pointer only
Finding Order in Chaos: A Novel Data Augmentation Method for Time Series in Contrastive Learning 23 Sep 2023 eth-siplab/finding_order_in_chaos/augmentations.py c28d10c26b7b61d0 ran · fixture could not drive it no licence file found · pointer only
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks 14 Nov 2022 intelligent-computing-lab-yale/snn_har/augmentations.py 8a18464ef09fd0f6 unverified MIT (permissive)
Bottlenecks CLUB: Unifying Information-Theoretic Trade-offs Among Complexity, Leakage, and Utility 11 Jul 2022 BehroozRazeghi/CLUB/utils/mine.py dcb7882ba2120be4 unverified MIT (permissive)
Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification 20 Jun 2022 mpatacchiola/contextual-squeeze-and-excitation/run_metadataset.py 180ce251fbb5b1ad ran · honoured contract fingerprinted MIT (permissive)
Unsupervised Semantic Segmentation by Distilling Feature Correspondences 16 Mar 2022 mhamilton723/STEGO/src/train_segmentation.py 205e834237bf794c ran · honoured contract MIT (permissive)
Memory Efficient Meta-Learning with Large Images 2 Jul 2021 cambridge-mlg/LITE/src/utils.py e3e669ad7a0bde46 unverified MIT (permissive)
How to Train Your Wide Neural Network Without Backprop: An Input-Weight Alignment Perspective 15 Jun 2021 fietelab/wide-network-alignment/alignment_cifar.py 169575fc2515e3b6 ran · honoured contract fingerprinted MIT (permissive)
An Empirical Study on Channel Effects for Synthetic Voice Spoofing Countermeasure Systems 3 Apr 2021 yzyouzhang/asvspoof2021_air/main_train.py 6e88ac6fb45d54ef unverified MIT (permissive)
A Variational Approach to Privacy and Fairness 11 Jun 2020 BehroozRazeghi/Variational-Leakage/utils/mine.py dcb7882ba2120be4 unverified MIT (permissive)
Adversarial Robustness for Code 11 Feb 2020 eth-sri/robust-code/robustcode/parsers/parser.py aa232e245bdcd69e ran · violated contract fingerprinted Apache-2.0 (permissive)
Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches 16 Jul 2019 MaurizioFD/RecSys2019_DeepLearning_Evaluation/Conferences/IJCAI/ConvNCF_our_interface/ConvNCF.py 6f9a56e47e7765ae unverified AGPL-3.0 (copyleft) · pointer only
COBRA: Data-Efficient Model-Based RL through Unsupervised Object Discovery and Curiosity-Driven Exploration 22 May 2019 deepmind/spriteworld/spriteworld/sprite_generators.py 5af55bc5d9e1b38d unverified Apache-2.0 (permissive)
Memory Efficient Experience Replay for Streaming Learning 16 Sep 2018 tyler-hayes/ExStream/utils.py 288311e940d7b1e2 unverified MIT (permissive)
End-to-End Incremental Learning 25 Jul 2018 axelmukwena/biometricECG/utils.py e88d07e0f6a17a4e unverified MIT (permissive)
Polite Dialogue Generation Without Parallel Data 8 May 2018 WolfNiu/polite-dialogue-generation/src/model/LSTM-CNN-multi-GPU-new_vocab.py a4b5a8d188329b96 ran · violated contract fingerprinted MIT (permissive)
MINE: Mutual Information Neural Estimation 12 Jan 2018 ChengzhangZhu/MINE/mine.py 7697af4755f25282 unverified no licence file found · pointer only
Robust Unsupervised Domain Adaptation for Neural Networks via Moment Alignment 16 Nov 2017 wzell/mann/sentiment_analysis.py 8536663c9d029ddb ran · honoured contract fingerprinted GPL-3.0 (copyleft) · pointer only
Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1 9 Feb 2016 mateusgrellert/binary-net-tensorflow/mnist.py 7b7c7ba07fb321f9 ran · honoured contract fingerprinted no licence file found · pointer only
Adversarial Autoencoders 18 Nov 2015 greentfrapp/adversarialautoencoder/anomaly_detectors.py 145208e8e4762951 unverified MIT (permissive)
Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks 9 Jun 2015 oplatek/e2end/e2end/utils.py 8694c9cd02e9f95c unverified Apache-2.0 (permissive)
U-Net: Convolutional Networks for Biomedical Image Segmentation 18 May 2015 arthurflor23/surface-crack-detection/src/util/misc.py 14b138f819cf2ea1 unverified MIT (permissive)
arXiv:2025.acl-long.1506 deepseek-ai/DeepSeek-Math/evaluation/utils.py 1d4da55afb0377ec ran fingerprinted 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