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unpickle

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

unpickle appears in the code Syntology harvested for 45 papers, as 27 distinct code bodies found in 47 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 unpickle 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 9 of the 27 distinct code bodies named unpickle; 18 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract

0ran · violated contract

6ran · our draft was wrong

0ran · fixture could not drive it

3ran

18unverified

0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 47 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

45 papers shown of 45, newest first; 47 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; 2 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.

Paper	Date	File	Status Syntology	Licence
Energy Matching: Unifying Flow Matching and Energy-Based Models for Generative Modeling	14 Apr 2025	m1balcerak/EnergyMatching/experiments/imagenet/dataset_imagenet32.py `ed993db42c75bec3`	unverified	MIT (permissive)
Instance-dependent Early Stopping	11 Feb 2025	tmllab/2025_iclr_ies/cifar_main.py `10b1d9fe0289ed97`	ran · our draft was wrong	no licence file found · pointer only
Out-Of-Distribution Detection with Diversification (Provably)	21 Nov 2024	haiyunyao/diversemix/utils/imagenet_loader.py `4ebc0e09cb353eac`	unverified	no licence file found · pointer only
Bridging OOD Detection and Generalization: A Graph-Theoretic View	26 Sep 2024	deeplearning-wisc/graph-spectral-ood/utils/imagenet_rc_loader.py `4ebc0e09cb353eac`	unverified	Apache-2.0 (permissive)
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels	23 Jul 2024	JaesoonBaik1213/DaSC/datas/data_utils.py `5543609031c0e900`	ran	MIT (permissive)
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels	23 Jul 2024	JaesoonBaik1213/DaSC/datas/data_utils_N.py `ef49e82a7403eee1`	ran	MIT (permissive)
Learning to Complement and to Defer to Multiple Users	9 Jul 2024	zhengzhang37/lecodu/dataloader_cifar.py `ef49e82a7403eee1`	ran	no licence file found · pointer only
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning	27 May 2024	aailab-kaist/DBAE/datasets/imagenet.py `4ebc0e09cb353eac`	unverified	Apache-2.0 (permissive)
Friendly Sharpness-Aware Minimization	19 Mar 2024	nblt/F-SAM/utils.py `ef49e82a7403eee1`	ran	no licence file found · pointer only
Robust Data Pruning under Label Noise via Maximizing Re-labeling Accuracy	2 Nov 2023	kaist-dmlab/Prune4Rel/load_noise_data.py `ef49e82a7403eee1`	ran	MIT (permissive)
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML	11 Oct 2023	ziqi-zhang/teeslice-artifact/membership-inference/demoloader/downsampled_imagenet.py `4ebc0e09cb353eac`	unverified	no licence file found · pointer only
Set Learning for Accurate and Calibrated Models	5 Jul 2023	lukasmut/oko/cifar10_preprocessing.py `9863251d401d43c3`	ran	MIT (permissive)
How Deep Neural Networks Learn Compositional Data: The Random Hierarchy Model	5 Jul 2023	pcsl-epfl/hierarchy-learning/init.py `4ebc0e09cb353eac`	unverified	MIT (permissive)
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection	3 Jun 2023	lygjwy/DOS/datasets/imagenet_64.py `937d4f7234113d01`	unverified	MIT (permissive)
LINe: Out-of-Distribution Detection by Leveraging Important Neurons	24 Mar 2023	yonghyun-ahn/line-out-of-distribution-detection-by-leveraging-important-neurons/util/dataset_largescale.py `80aea57f14a9774f`	unverified	MIT (permissive)
Centrality and Consistency: Two-Stage Clean Samples Identification for Learning with Instance-Dependent Noisy Labels	29 Jul 2022	uitrbn/TSCSI_IDN/dataloader_cifar_idn_part.py `ef49e82a7403eee1`	ran	MIT (permissive)
UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning	28 Mar 2022	nazmul-karim170/unicon-noisy-label/dataloader_cifar.py `ef49e82a7403eee1`	ran	MIT (permissive)
Learning to generate line drawings that convey geometry and semantics	23 Mar 2022	carolineec/informative-drawings/dataset.py `80b795d920e2967a`	ran · our draft was wrong	MIT (permissive)
Training OOD Detectors in their Natural Habitats	7 Feb 2022	jkatzsam/woods_ood/utils/imagenet_rc_loader.py `4ebc0e09cb353eac`	unverified	Apache-2.0 (permissive)
DICE: Leveraging Sparsification for Out-of-Distribution Detection	18 Nov 2021	deeplearning-wisc/dice/util/dataset_largescale.py `80aea57f14a9774f`	unverified	MIT (permissive)
Stein Latent Optimization for Generative Adversarial Networks	9 Jun 2021	identical code first harvested elsewhere `c41924e881d94c2e`	ran · our draft was wrong	licence of this copy not recorded
Rethinking Noisy Label Models: Labeler-Dependent Noise with Adversarial Awareness	28 May 2021	LiJunnan1992/DivideMix/dataloader_cifar.py `ef49e82a7403eee1`	ran	MIT (permissive)
Contrastive Learning Improves Model Robustness Under Label Noise	19 Apr 2021	arghosh/noisy_label_pretrain/imagenet32.py `4ebc0e09cb353eac`	unverified	MIT (permissive)
Moreau-Yosida $f$-divergences	26 Feb 2021	renyi-ai/moreau-yosida-f-divergences/gan_cifar10.py `c41924e881d94c2e`	ran · our draft was wrong	no licence file found · pointer only
When Do Neural Networks Outperform Kernel Methods?	24 Jun 2020	bGhorbani/linearized_neural_networks/preprocess.py `306d40284d54ba3f`	unverified	Apache-2.0 (permissive)
Balancing reconstruction error and Kullback-Leibler divergence in Variational Autoencoders	18 Feb 2020	asperti/BalancingVAE/computed_gamma.py `38ed4e3667407885`	ran · our draft was wrong	no licence file found · pointer only
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data	17 Nov 2019	sunblaze-ucb/REFIT/datasets/imagenet32.py `d3ce4f9536a5b7a7`	unverified	MIT (permissive)
Quality Aware Generative Adversarial Networks	8 Nov 2019	lfovia/QAGANS/QAGAN-SSIM/cifar10_SSIM_GP.py `a2cf628deba641fa`	ran · our draft was wrong	no licence file found · pointer only
Learning from Label Proportions with Generative Adversarial Networks	5 Sep 2019	liujiabin008/LLP-GAN/cifar10_data.py `82a1f28d04e522ee`	unverified	no licence file found · pointer only
Adversarial Lipschitz Regularization	12 Jul 2019	identical code first harvested elsewhere `c41924e881d94c2e`	ran · our draft was wrong	licence of this copy not recorded
ME-Net: Towards Effective Adversarial Robustness with Matrix Estimation	28 May 2019	YyzHarry/ME-Net/attack_blackbox.py `80b795d920e2967a`	ran · our draft was wrong	MIT (permissive)
Semi-Supervised Learning by Augmented Distribution Alignment	20 May 2019	qinenergy/adanet/convlarge/dataset_utils.py `418ad96eb358a5db`	unverified	MIT (permissive)
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources	26 Apr 2019	AlanFokCo/compensation-tools/elastic_demos/add_data.py `91b57896044b9479`	unverified	Apache-2.0 (permissive)
Probabilistic End-to-end Noise Correction for Learning with Noisy Labels	19 Mar 2019	identical code first harvested elsewhere `1f0bb699e23ab672`	ran · our draft was wrong	licence of this copy not recorded
Differentially Private Generative Adversarial Networks for Time Series, Continuous, and Discrete Open Data	2019-01 (from id)	SAP-samples/security-research-differentially-private-generative-models/tflib/cifar10.py `513d7e0a25b70091`	unverified	Apache-2.0 (permissive)
Do CIFAR-10 Classifiers Generalize to CIFAR-10?	1 Jun 2018	aisosalo/CIFAR-10/build_dataset.py `b8200f6c2f73edda`	unverified	MIT (permissive)
Do CIFAR-10 Classifiers Generalize to CIFAR-10?	1 Jun 2018	aisosalo/CIFAR-10/imageclassification/training/dataset.py `54d88bd375890f88`	unverified	MIT (permissive)
Convolutional Neural Networks with Alternately Updated Clique	28 Feb 2018	lishuliang/Emotion-Recognition/dataloader/preprocess.py `5ab3abc5d06628e0`	unverified	MIT (permissive)
iCaRL: Incremental Classifier and Representation Learning	23 Nov 2016	srebuffi/iCaRL/iCaRL-TheanoLasagne/utils_cifar100.py `86aadd9c26d05f6c`	unverified	MIT (permissive)
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks	7 Oct 2016	hendrycks/error-detection/Vision/CIFAR_Detection.py `9cf114efaf65dc13`	unverified	MIT (permissive)
Making Deep Neural Networks Robust to Label Noise: a Loss Correction Approach	13 Sep 2016	yikun2019/PENCIL/addnoise_AN.py `1f0bb699e23ab672`	ran · our draft was wrong	no licence file found · pointer only
Early Methods for Detecting Adversarial Images	1 Aug 2016	hendrycks/fooling/CIFAR/resnet_32.py `9cf114efaf65dc13`	unverified	MIT (permissive)
Gaussian Error Linear Units (GELUs)	27 Jun 2016	hendrycks/GELUs/SGDR_WRNs_gelu.py `9cf114efaf65dc13`	unverified	MIT (permissive)
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention	10 Feb 2015	Aaatresh/Seeing-through-sound/vOICe/data_generators/data_generator_cifar10.py `bfc501c46e8ad1f9`	unverified	MIT (permissive)
Explaining and Harnessing Adversarial Examples	20 Dec 2014	BendeguzToth/Fun-with-ConvNets/project/utils.py `46842ba14f312456`	unverified	MIT (permissive)
arXiv:ijcai2023_0434		HotanLee/SFA/dataloader_cifar.py `ef49e82a7403eee1`	ran	MIT (permissive)
arXiv:2025.findings-acl.234		BigML-CS-UCLA/SNNE/snne/kle/utils.py `970a9f6952201473`	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".

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