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random_crop_arr

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

random_crop_arr appears in the code Syntology harvested for 41 papers, as 8 distinct code bodies found in 41 places (a place is one code body under one paper). At least one of them ran in 8 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 random_crop_arr 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 2 of the 8 distinct code bodies named random_crop_arr; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 8 of the 41 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

41 papers shown of 41, newest first; 41 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 3 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
RemEdit: Efficient Diffusion Editing with Riemannian Geometry added by Syntology 2026-01 (from id) eashanadhikarla/RemEdit/src/datasets/IMAGENET_dataset.py 9aa64be32dcfd7ca unverified MIT (permissive)
Label-Efficient Hyperspectral Image Classification via Spectral FiLM Modulation of Low-Level Pretrained Diffusion Features added by Syntology 2025-12 (from id) openai/guided-diffusion/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Enhancing Diffusion Model Guidance through Calibration and Regularization added by Syntology 2025-11 (from id) ajavid34/guided-info-diffusion/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified no licence file found · pointer only
D-AR: Diffusion via Autoregressive Models 29 May 2025 showlab/d-ar/dataset/augmentation.py 980fb099f82d8b84 unverified MIT (permissive)
Autoregressive Image Generation with Randomized Parallel Decoding 13 Mar 2025 hp-l33/ARPG/dataset/augmentation.py 980fb099f82d8b84 unverified MIT (permissive)
FlexVAR: Flexible Visual Autoregressive Modeling without Residual Prediction 27 Feb 2025 jiaosiyu1999/FlexVAR/dataset/augmentation.py 5c39d5cf4b4b2a41 unverified MIT (permissive)
Improved Diffusion-based Generative Model with Better Adversarial Robustness 24 Feb 2025 kugwzk/AT_Diff/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
ZipAR: Accelerating Auto-regressive Image Generation through Spatial Locality 5 Dec 2024 ThisisBillhe/ZipAR/LlamaGen-ZipAR/dataset/augmentation.py 980fb099f82d8b84 unverified no licence file found · pointer only
TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation 4 Dec 2024 ByteFlow-AI/TokenFlow/tokenflow/dataset/augmentation.py 980fb099f82d8b84 unverified Apache-2.0 (permissive)
Physics Informed Distillation for Diffusion Models 13 Nov 2024 pantheon5100/pid_diffusion/cm/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation 31 Aug 2024 leaplabthu/adanat/datasets_uvit.py 05d1f95a391c0ec3 ran no licence file found · pointer only
Inverse Problems with Diffusion Models: A MAP Estimation Perspective 27 Jul 2024 guthasaibharathchandra/MAP-GA/cm/image_datasets.py 53d5be4fdbcfac23 unverified no licence file found · pointer only
Self-Guided Generation of Minority Samples Using Diffusion Models 16 Jul 2024 soobin-um/sg-minority/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models and Time-Dependent Layer Normalization 13 Jun 2024 qihao067/DiMR/datasets.py 05d1f95a391c0ec3 ran Apache-2.0 (permissive)
Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation 10 Jun 2024 foundationvision/llamagen/dataset/augmentation.py 980fb099f82d8b84 unverified MIT (permissive)
Revisiting Non-Autoregressive Transformers for Efficient Image Synthesis 8 Jun 2024 leaplabthu/improvednat/dataset.py 05d1f95a391c0ec3 ran MIT (permissive)
DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models 27 May 2024 yuanzhi-zhu/DiffPIR/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance 26 Mar 2024 KU-CVLAB/Perturbed-Attention-Guidance/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
A Phase Transition in Diffusion Models Reveals the Hierarchical Nature of Data 26 Feb 2024 pcsl-epfl/forward-backward-diffusion/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
DiffiT: Diffusion Vision Transformers for Image Generation 4 Dec 2023 nvlabs/diffit/diffit/image_datasets.py 53d5be4fdbcfac23 unverified no licence file found · pointer only
Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? 30 Nov 2023 zhengyuezhao/gridpure/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Do text-free diffusion models learn discriminative visual representations? 29 Nov 2023 soumik-kanad/diffssl/guided_diffusion/image_datasets.py 4745538bfc32f1f9 ran MIT (permissive)
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models 15 Aug 2023 cure-lab/DiffGuard/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified no licence file found · pointer only
Understanding the Latent Space of Diffusion Models through the Lens of Riemannian Geometry 24 Jul 2023 enkeejunior1/Diffusion-Pullback/src/models/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified Apache-2.0 (permissive)
Generative Semantic Communication: Diffusion Models Beyond Bit Recovery 7 Jun 2023 ispamm/gesco/guided_diffusion/image_datasets.py 959babefa37161a0 unverified MIT (permissive)
Brain tumor segmentation using synthetic MR images -- A comparison of GANs and diffusion models 5 Jun 2023 muhamadusman/assist/DiffusionModel/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Image generation with shortest path diffusion 1 Jun 2023 mtkresearch/shortest-path-diffusion/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified Apache-2.0 (permissive)
Denoising Diffusion Models for Plug-and-Play Image Restoration 15 May 2023 yuanzhi-zhu/diffpir/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning 25 Apr 2023 thu-ml/cep-energy-guided-diffusion/images/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Consistency Models 2 Mar 2023 openai/consistency_models/cm/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels 21 Feb 2023 ML-GSAI/DPT/datasets.py 05d1f95a391c0ec3 ran MIT (permissive)
SinDiffusion: Learning a Diffusion Model from a Single Natural Image 22 Nov 2022 weilunwang/sindiffusion/guided_diffusion/image_datasets.py 114572c5d3736a4d unverified Apache-2.0 (permissive)
Diffusion Models already have a Semantic Latent Space 20 Oct 2022 kwonminki/Asyrp_official/datasets/IMAGENET_dataset.py 9aa64be32dcfd7ca unverified MIT (permissive)
Improving Sample Quality of Diffusion Models Using Self-Attention Guidance 3 Oct 2022 KU-CVLAB/Self-Attention-Guidance/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT recorded; this copy not marked cleared · pointer only
(Certified!!) Adversarial Robustness for Free! 21 Jun 2022 ethz-privsec/diffusion_denoised_smoothing/imagenet/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Accelerating Diffusion Models via Early Stop of the Diffusion Process 25 May 2022 zhaoyanglyu/early_stopped_ddpm/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT recorded; this copy not marked cleared · pointer only
Diffusion Models for Counterfactual Explanations 29 Mar 2022 guillaumejs2403/DiME/core/image_datasets.py 4745538bfc32f1f9 ran MIT (permissive)
Diffusion Models for Medical Anomaly Detection 8 Mar 2022 JuliaWolleb/diffusion-anomaly/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Blended Diffusion for Text-driven Editing of Natural Images 29 Nov 2021 omriav/blended-diffusion/guided_diffusion/guided_diffusion/image_datasets.py 53d5be4fdbcfac23 unverified MIT (permissive)
Few-shot Image Generation with Mixup-based Distance Learning 23 Nov 2021 rowerliu/adbd/guided_diffusion/image_datasets.py 4745538bfc32f1f9 ran MIT (permissive)
arXiv:Hertz_Style_Aligned_Image_Generation_via_Shared_Attention_CVPR_2024_paper aim-uofa/StyleDrop-PyTorch/datasets.py 05d1f95a391c0ec3 ran 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".

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