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check_integrity

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

check_integrity appears in the code Syntology harvested for 37 papers, as 9 distinct code bodies found in 37 places (a place is one code body under one paper). At least one of them ran in 17 of the papers; 4 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 check_integrity 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 9 distinct code bodies named check_integrity; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
3ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
5unverified
4fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 37 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

37 papers shown of 37, newest first; 37 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; 5 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 7345763c9b9300fb unverified no licence file found · pointer only
Versatile Incremental Learning: Towards Class and Domain-Agnostic Incremental Learning 17 Sep 2024 khu-agi/vil/continual_datasets/dataset_utils.py 46b62ccc9e5b9878 ran fingerprinted Apache-2.0 (permissive)
PSC: Posterior Sampling-Based Compression 13 Jul 2024 noamelata/AdaSense/datasets/utils.py 7345763c9b9300fb unverified no licence file found · pointer only
Robustifying and Boosting Training-Free Neural Architecture Search 12 Mar 2024 hzf1174/RoBoT/foresight/imagenet16.py e947a6effcaaf32b ran · violated contract fingerprinted Apache-2.0 (permissive)
Training Unbiased Diffusion Models From Biased Dataset 2 Mar 2024 ermongroup/fairgen/src/KL-BigGAN/dataset_utils.py 7345763c9b9300fb unverified 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 7345763c9b9300fb unverified 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 7345763c9b9300fb unverified 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 7345763c9b9300fb unverified no licence file found · pointer only
Optimal Transport-Guided Conditional Score-Based Diffusion Models 2 Nov 2023 XJTU-XGU/OTCS/datasets/utils.py 7345763c9b9300fb unverified no licence file found · pointer only
CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation 10 Oct 2023 zkzhang98/coinseg/datasets/utils.py 7345763c9b9300fb unverified no licence file found · pointer only
On the Effectiveness of LayerNorm Tuning for Continual Learning in Vision Transformers 18 Aug 2023 tdemin16/continual-layernorm-tuning/couple/continual_datasets/dataset_utils.py 46b62ccc9e5b9878 ran fingerprinted Apache-2.0 (permissive)
DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport 21 Jul 2023 cognaclee/dpm-ot/datasets/utils.py 7345763c9b9300fb unverified no licence file found · pointer only
Unlimited-Size Diffusion Restoration 1 Mar 2023 wyhuai/ddnm/datasets/utils.py 7345763c9b9300fb unverified 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 7345763c9b9300fb unverified MIT (permissive)
Fast Inference in Denoising Diffusion Models via MMD Finetuning 19 Jan 2023 diegovalsesia/mmd-ddm/datasets/utils.py 7345763c9b9300fb unverified 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 7345763c9b9300fb unverified MIT (permissive)
Graphically Structured Diffusion Models 20 Oct 2022 plai-group/gsdm/datasets/utils.py 7345763c9b9300fb unverified MIT (permissive)
DC-BENCH: Dataset Condensation Benchmark 20 Jul 2022 justincui03/dc_benchmark/darts-pt/nasbench201/DownsampledImageNet.py e947a6effcaaf32b ran · violated contract fingerprinted MIT (permissive)
Task Agnostic Representation Consolidation: a Self-supervised based Continual Learning Approach 13 Jul 2022 neurai-lab/tarc/datasets/cifar10_noisy.py fac9904f665a5702 ran · violated contract fingerprinted MIT (permissive)
Diffusion-GAN: Training GANs with Diffusion 5 Jun 2022 jegzheng/truncated-diffusion-probabilistic-models/datasets/utils.py 7345763c9b9300fb unverified MIT (permissive)
Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis 11 May 2022 chenwydj/architecture_convergence/nas-without-training/datasets/DownsampledImageNet.py e947a6effcaaf32b ran · violated contract fingerprinted MIT (permissive)
Learning to Prompt for Continual Learning 16 Dec 2021 JH-LEE-KR/l2p-pytorch/continual_datasets/dataset_utils.py 46b62ccc9e5b9878 ran fingerprinted Apache-2.0 recorded; this copy not marked cleared · pointer only
Understanding and Accelerating Neural Architecture Search with Training-Free and Theory-Grounded Metrics 26 Aug 2021 vita-group/tegnas/lib/datasets/DownsampledImageNet.py e947a6effcaaf32b ran · violated contract fingerprinted MIT (permissive)
Open-set Label Noise Can Improve Robustness Against Inherent Label Noise 21 Jun 2021 hongxin001/ODNL/algorithms/odnl.py 379a713ff6573163 ran · violated contract fingerprinted no licence file found · pointer only
Zero-Cost Operation Scoring in Differentiable Architecture Search 12 Jun 2021 zerocostptnas/zerocost_operation_score/nasbench201/DownsampledImageNet.py d3f4daf499849800 unverified MIT (permissive)
Optimizing Reusable Knowledge for Continual Learning via Metalearning 9 Jun 2021 JuliousHurtado/meta-training-setup/dataloaders/utils.py 46b62ccc9e5b9878 ran fingerprinted MIT (permissive)
Adversarial Continual Learning 21 Mar 2020 facebookresearch/Adversarial-Continual-Learning/src/dataloaders/utils.py 46b62ccc9e5b9878 ran fingerprinted MIT recorded; this copy not marked cleared · pointer only
NAS-Bench-201: Extending the Scope of Reproducible Neural Architecture Search 2 Jan 2020 Edge-AI-Acceleration-Lab/RBFleX-NAS/designspace/NAS-Bench-201/DownsampledImageNet.py e947a6effcaaf32b ran · violated contract fingerprinted MIT (permissive)
Restricted Recurrent Neural Networks 21 Aug 2019 diaoenmao/Restricted-Recurrent-Neural-Networks/src/datasets/utils.py c37e20d42c55a32a unverified MIT (permissive)
Are Anchor Points Really Indispensable in Label-Noise Learning? 1 Jun 2019 xiaoboxia/T-Revision/utils.py fac9904f665a5702 ran · violated contract fingerprinted no licence file found · pointer only
Overcoming Catastrophic Forgetting with Unlabeled Data in the Wild 29 Mar 2019 kibok90/iccv2019-inc/datasets/utils.py fac9904f665a5702 ran · violated contract fingerprinted MIT (permissive)
Meta-Amortized Variational Inference and Learning 5 Feb 2019 mhw32/meta-inference-public/src/datasets/norb.py fac9904f665a5702 ran · violated contract fingerprinted MIT (permissive)
arXiv:aaai_29393 VGCQ/DSD2/utils/cifar.py fac9904f665a5702 ran · violated contract fingerprinted MIT (permissive)
arXiv:Sun_Unleashing_the_Power_of_Gradient_Signal-to-Noise_Ratio_for_Zero-Shot_NAS_ICCV_2023_paper Sunzh1996/Xi-GSNR/Xi_GSNR_Consistency/datasets/DownsampledImageNet.py e947a6effcaaf32b ran · violated contract fingerprinted MIT (permissive)
arXiv:Fahes_PODA_Prompt-driven_Zero-shot_Domain_Adaptation_ICCV_2023_paper astra-vision/PODA/datasets/utils.py 7345763c9b9300fb unverified Apache-2.0 (permissive)
arXiv:136640364 lukashedegaard/co3d/datasets/download.py 9d650a060048e8e8 unverified Apache-2.0 (permissive)
arXiv:00676 lliai/Auto-DAS/autodas/datasets/imagenet16.py 24aee327ca41fde9 unverified 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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