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random_sample

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

random_sample appears in the code Syntology harvested for 18 papers, as 18 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 9 of the papers; 3 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 random_sample 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 8 of the 18 distinct code bodies named random_sample; 10 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
1ran · fixture could not drive it
4ran
10unverified
3fingerprinted

Licence is a property of each copy, so it is counted per place: 6 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

18 papers shown of 18, 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; 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
Parametric Point Cloud Completion for Polygonal Surface Reconstruction 11 Mar 2025 parametric-completion/paco/utils/misc.py 2c13bc1137dca047 unverified MIT (permissive)
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models 19 Jun 2024 QwenLM/AutoIF/code_dpo/2_dpo_data_query_construct.py 0c720b590a991017 ran fingerprinted Apache-2.0 (permissive)
CLIPLoss and Norm-Based Data Selection Methods for Multimodal Contrastive Learning 29 May 2024 ypwang61/VAS/cal_clipscores.py cfd8b1cf3644b321 ran no licence file found · pointer only
Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts 29 May 2024 MediaBrain-SJTU/DISAM/code/models/resnet.py 647d32905ebb0ee7 ran no licence file found · pointer only
On Exploring PDE Modeling for Point Cloud Video Representation Learning 6 Apr 2024 zhh6425/MotionPointNet/layers/subsample.py f1d9a9d6a76dbed2 ran fingerprinted no licence file found · pointer only
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark 12 Nov 2023 wenkehuang/marsfl/Backbones/ResNet_pretrain.py 647d32905ebb0ee7 ran no licence file found · pointer only
Any-dimensional equivariant neural networks 10 Jun 2023 mateodd25/free-nets/experiments/free_symmetric_projection.py ad3bd41e9ed1bb19 unverified MIT (permissive)
Any-dimensional equivariant neural networks 10 Jun 2023 mateodd25/free-nets/experiments/aux_O.py 5c71362caaf3b0ab unverified MIT (permissive)
Can Large Language Models Capture Dissenting Human Voices? 23 May 2023 xfactlab/emnlp2023-LLM-Disagreement/sample.py 2163e5e3c4bcebcd unverified MIT (permissive)
Versatile Energy-Based Probabilistic Models for High Energy Physics 1 Feb 2023 taolicheng/ebm-hep/ebm_jet_attn.py e5b729c5f624bcd2 unverified no licence file found · pointer only
Learning from All Vehicles 22 Mar 2022 dotchen/LAV/lav/models/bev_planner.py 84aa89472ba98d55 unverified Apache-2.0 (permissive)
Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators 11 Jun 2021 RICE-EIC/Auto-NBA/model_search.py 40eb5ef310a13593 ran · honoured contract MIT (permissive)
Broaden Your Views for Self-Supervised Video Learning 30 Mar 2021 deepmind/brave/brave/datasets/sampling.py e6ad315cfb7d7612 unverified Apache-2.0 (permissive)
Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation 30 Apr 2020 dwlmt/Story-Untangling/story_untangling/modules/utils.py f6392a9a1efc97e8 unverified Unlicense (permissive)
Guided Image Generation with Conditional Invertible Neural Networks 4 Jul 2019 5yearsKim/Conditional-Normalizing-Flow/inference.py 5dbb728ceb7ffbcb ran · fixture could not drive it no licence file found · pointer only
Sherlock: A Deep Learning Approach to Semantic Data Type Detection 25 May 2019 mitmedialab/sherlock-project/sherlock/functional.py 8654506268afc092 unverified MIT (permissive)
Variational Wasserstein Clustering 23 Jun 2018 icemiliang/pyvot/utils_numpy.py bd6add87efaed8a7 ran · our draft was wrong fingerprinted MIT (permissive)
Proximal Policy Optimization Algorithms 20 Jul 2017 near32/regym/regym/rl_algorithms/algorithms/PPO/ppo.py 2439c728712b51ae ran · our draft was wrong MIT (permissive)
arXiv:2022.findings-emnlp.353 RaiPranav/FCL-FedSeIT/FedWeit/utils.py 3bf4eb4b1fb26975 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