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list_dir

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

list_dir appears in the code Syntology harvested for 22 papers, as 6 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 19 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 list_dir 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 3 of the 6 distinct code bodies named list_dir; 3 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
2ran
3unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 10 of the 22 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; 22 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
BiDM: Pushing the Limit of Quantization for Diffusion Models 8 Dec 2024 xingyu-zheng/bidm/bidm-cifar/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong no licence file found · pointer only
PSC: Posterior Sampling-Based Compression 13 Jul 2024 noamelata/AdaSense/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong no licence file found · pointer only
Training Unbiased Diffusion Models From Biased Dataset 2 Mar 2024 ermongroup/fairgen/src/KL-BigGAN/dataset_utils.py 0d8aca7e68b6e3c8 ran no licence file found · pointer only
On the Duality Between Sharpness-Aware Minimization and Adversarial Training 23 Feb 2024 weizeming/SAM_AT/SAM_segmentation/datasets/utils.py 0d8aca7e68b6e3c8 ran no licence file found · pointer only
Image Restoration by Denoising Diffusion Models with Iteratively Preconditioned Guidance 27 Dec 2023 tirer-lab/ddpg/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong no licence file found · pointer only
Towards Accurate Guided Diffusion Sampling through Symplectic Adjoint Method 19 Dec 2023 hanshuyan/adjointdpm/ddpm_and_guided-diffusion/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong no licence file found · pointer only
Optimal Transport-Guided Conditional Score-Based Diffusion Models 2 Nov 2023 XJTU-XGU/OTCS/datasets/utils.py 0a2cbd0f7b6ec66e ran no licence file found · pointer only
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation 10 Oct 2023 zkzhang98/coinseg/datasets/utils.py 0d8aca7e68b6e3c8 ran no licence file found · pointer only
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport 21 Jul 2023 cognaclee/dpm-ot/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong no licence file found · pointer only
Unlimited-Size Diffusion Restoration 1 Mar 2023 wyhuai/ddnm/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration 30 Jan 2023 sony/gibbsddrm/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
Fast Inference in Denoising Diffusion Models via MMD Finetuning 19 Jan 2023 diegovalsesia/mmd-ddm/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
A Physics-informed Diffusion Model for High-fidelity Flow Field Reconstruction 26 Nov 2022 BaratiLab/Diffusion-based-Fluid-Super-resolution/train_ddpm/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
Graphically Structured Diffusion Models 20 Oct 2022 plai-group/gsdm/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach 13 Jul 2022 neurai-lab/tarc/datasets/cifar10_noisy.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
Diffusion-GAN: Training GANs with Diffusion 5 Jun 2022 jegzheng/truncated-diffusion-probabilistic-models/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
Probabilistic task modelling for meta-learning 9 Jun 2021 cnguyen10/probabilistic_task_modelling/utils.py 13a67fa3cba4d488 unverified MIT (permissive)
Are Anchor Points Really Indispensable in Label-Noise Learning? 1 Jun 2019 xiaoboxia/T-Revision/utils.py 915e1c6c38494be9 ran · our draft was wrong no licence file found · pointer only
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild 29 Mar 2019 kibok90/iccv2019-inc/datasets/utils.py 915e1c6c38494be9 ran · our draft was wrong MIT (permissive)
On First-Order Meta-Learning Algorithms 8 Mar 2018 gabrielhuang/reptile-pytorch/utils.py 9bc2cdc80cede326 unverified BSD-2-Clause (permissive)
Distributed Representations of Sentences and Documents 16 May 2014 TheCyberian/androidMalwareDetectionWithNLP/doc2vec_training_plus_binary_classification.py ffa4cd04f2875291 unverified Apache-2.0 (permissive)
arXiv:Fahes_PODA_Prompt-driven_Zero-shot_Domain_Adaptation_ICCV_2023_paper astra-vision/PODA/datasets/utils.py 0d8aca7e68b6e3c8 ran Apache-2.0 (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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