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make_layers

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

make_layers appears in the code Syntology harvested for 155 papers, as 74 distinct code bodies found in 159 places (a place is one code body under one paper). At least one of them ran in 104 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 make_layers 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 30 of the 74 distinct code bodies named make_layers; 44 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
11ran · our draft was wrong
0ran · fixture could not drive it
19ran
44unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 33 of the 159 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

100 papers shown of 155 (newest first; the JSON twin carries all 159 places); 103 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 4 papers added by Syntology; 11 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
Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks added by Syntology 2026-07 (from id) HamidDasht/RLS-adversarial-defense/models/vgg.py ac62432dc5134b0d ran MIT (permissive)
PAC-Chernoff Bounds: Understanding Generalization in the Interpolation Regime added by Syntology 2026-06 (from id) chenyaofo/pytorch-cifar-models/pytorch_cifar_models/vgg.py 0bac0ac5d129be80 ran BSD-3-Clause (permissive)
Courtroom Analogy: New Perspective on Uncertainty-Aware Classification added by Syntology 2026-05 (from id) TaeseongYoon/MoDEX/models.py 9bc9b41bc18f7459 ran · our draft was wrong MIT (permissive)
Uncertainty Estimation by Flexible Evidential Deep Learning added by Syntology 2025-10 (from id) TaeseongYoon/F-EDL/models.py 6eaeea743cf39edf ran no licence file found · pointer only
TAViS: Text-bridged Audio-Visual Segmentation with Foundation Models 13 Jun 2025 Sssssuperior/TAViS/models/sam_avs.py 01db1d2b39bc49cc ran MIT (permissive)
On the Role of Label Noise in the Feature Learning Process 25 May 2025 zzp1012/label-noise-theory/src/model/cifar_vgg.py ae8aef7688525312 unverified MIT (permissive)
Continuous Thought Machines 8 May 2025 huyvnphan/PyTorch_CIFAR10/cifar10_models/vgg.py eba3f5bcc6a06d36 ran · our draft was wrong MIT (permissive)
Learning Affine Correspondences by Integrating Geometric Constraints 7 Apr 2025 stilcrad/LearningACs/Network/affine_model.py 28a8887902d9d18b ran licence not identified · pointer only
Optimal Brain Apoptosis 25 Feb 2025 NEU-REAL/OBA/modules/vgg.py 9c8a208b6e0b0e40 unverified MIT (permissive)
Trap-MID: Trapdoor-based Defense against Model Inversion Attacks 13 Nov 2024 ntuaislab/Trap-MID/classify.py d8ff7dc2584b42c8 unverified MIT (permissive)
DASH: Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity 30 Oct 2024 baekrok/DASH-Direction-Aware-SHrinking/models/VGG.py f1175258a2c150b5 unverified MIT (permissive)
Fourier Amplitude and Correlation Loss: Beyond Using L2 Loss for Skillful Precipitation Nowcasting 30 Oct 2024 argenycw/FACL/models/convlstm.py 4de04e2f480ff094 unverified MIT (permissive)
SAMPa: Sharpness-aware Minimization Parallelized 14 Oct 2024 LIONS-EPFL/SAMPa/model/vgg.py ac62432dc5134b0d ran no licence file found · pointer only
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning 9 Oct 2024 xiaoni-61/dh-benchmark/vggmodel.py ac62432dc5134b0d ran MIT (permissive)
Hybrid Mamba for Few-Shot Segmentation 29 Sep 2024 sam1224/hmnet/model/vgg.py e31250b969b51841 ran · our draft was wrong no licence file found · pointer only
Benchmarking the Attribution Quality of Vision Models 16 Jul 2024 visinf/idsds/models/vgg.py 5adf613fdebfcbd4 ran Apache-2.0 (permissive)
Eliminating Feature Ambiguity for Few-Shot Segmentation 13 Jul 2024 sam1224/aenet/HDMNet/model/vgg.py e31250b969b51841 ran · our draft was wrong no licence file found · pointer only
AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation 27 Jun 2024 open-mmlab/anycontrol/annotator/openpose/model.py 0af8635db2bb32a2 ran MIT (permissive)
Robust Classification by Coupling Data Mollification with Label Smoothing 3 Jun 2024 markusheinonen/supervised-mollification/src/networks/allconvnet.py 1abab4e0bd33edbf ran no licence file found · pointer only
Does SGD really happen in tiny subspaces? 25 May 2024 locuslab/edge-of-stability/src/vgg.py ac62432dc5134b0d ran no licence file found · pointer only
Machine Unlearning via Null Space Calibration 21 Apr 2024 hqc-ml/machine-unlearning-via-null-space-calibration/models/vgg.py 3068ed82cef91c51 ran no licence file found · pointer only
Revisiting Random Weight Perturbation for Efficiently Improving Generalization 30 Mar 2024 nblt/marwp/models/vgg.py 4a29d37fffcfd8b1 ran no licence file found · pointer only
Friendly Sharpness-Aware Minimization 19 Mar 2024 nblt/F-SAM/models/vgg.py 4a29d37fffcfd8b1 ran no licence file found · pointer only
SURE: SUrvey REcipes for building reliable and robust deep networks 1 Mar 2024 YutingLi0606/SURE/model/vgg.py ac62432dc5134b0d ran no licence file found · pointer only
NiteDR: Nighttime Image De-Raining with Cross-View Sensor Cooperative Learning for Dynamic Driving Scenes 28 Feb 2024 cidanshi/nitedr-nighttime-image-de-raining/vgg.py ac62432dc5134b0d ran no licence file found · pointer only
VRP-SAM: SAM with Visual Reference Prompt 27 Feb 2024 syp2ysy/VRP-SAM/model/VRP_encoder.py e31250b969b51841 ran · our draft was wrong MIT (permissive)
Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition 25 Jan 2024 Sangyu-Han/SharingRatioDecomposition/modules/vgg.py 506e0e8c845fe9c2 unverified MIT (permissive)
Model Supply Chain Poisoning: Backdooring Pre-trained Models via Embedding Indistinguishability 29 Jan 2024 haowang-cqu/transtroj/models/vgg11.py 407322f875ce4ee3 ran MIT (permissive)
Deep Neural Network Benchmarks for Selective Classification 23 Jan 2024 andrepugni/esc/classes/utils.py 64eb1db87c2e5493 unverified no licence file found · pointer only
Energy-based Automated Model Evaluation 23 Jan 2024 pengr/energy_autoeval/models/chenyaofo/vgg.py 0bac0ac5d129be80 ran Apache-2.0 (permissive)
Manipulating Feature Visualizations with Gradient Slingshots 11 Jan 2024 dilyabareeva/grad-slingshot/models.py b834e29a85d15c71 ran MIT (permissive)
SANIA: Polyak-type Optimization Framework Leads to Scale Invariant Stochastic Algorithms 28 Dec 2023 fxrshed/sania/experiments/models/vgg.py ac62432dc5134b0d ran no licence file found · pointer only
Towards Real-World Blind Face Restoration with Generative Diffusion Prior 25 Dec 2023 chenxx89/bfrffusion/annotator/openpose/model.py 0af8635db2bb32a2 ran MIT (permissive)
Detection and Defense of Unlearnable Examples 14 Dec 2023 hala64/udp/model/VGG.py ac62432dc5134b0d ran no licence file found · pointer only
ControlNet-XS: Rethinking the Control of Text-to-Image Diffusion Models as Feedback-Control Systems 11 Dec 2023 vislearn/ControlNet-XS/annotator/openpose/model.py 0af8635db2bb32a2 ran Apache-2.0 (permissive)
Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks 11 Dec 2023 yfguo91/ternary-spike/models/vggcifar.py d816051f5a32a403 ran no licence file found · pointer only
Exploiting Label Skews in Federated Learning with Model Concatenation 11 Dec 2023 sjtudyq/fedconcat/vggmodel.py ac62432dc5134b0d ran MIT (permissive)
RAVE: Randomized Noise Shuffling for Fast and Consistent Video Editing with Diffusion Models 7 Dec 2023 rehg-lab/rave/annotator/openpose/model.py 0af8635db2bb32a2 ran MIT (permissive)
Simplifying Neural Network Training Under Class Imbalance 5 Dec 2023 ravidziv/SimplifyingImbalancedTraining/imbalanced/models/vgg.py 4a29d37fffcfd8b1 ran no licence file found · pointer only
Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting 1 Dec 2023 sangamesh-kodge/class_forgetting/models/vgg.py ac62432dc5134b0d ran no licence file found · pointer only
ReWaRD: Retinal Waves for Pre-Training Artificial Neural Networks Mimicking Real Prenatal Development 28 Nov 2023 bennyca/reward/4_Visualization/nets/vgg.py ac62432dc5134b0d ran no licence file found · pointer only
Stable Unlearnable Example: Enhancing the Robustness of Unlearnable Examples via Stable Error-Minimizing Noise 22 Nov 2023 liuyixin-louis/stable-unlearnable-example/models/vgg.py 424b4090e4679330 ran licence not identified · pointer only
On the Robustness of Neural Collapse and the Neural Collapse of Robustness 13 Nov 2023 jingtongsu/robust_neural_collapse/vgg_imagenet.py ac62432dc5134b0d ran no licence file found · pointer only
On the Robustness of Neural Collapse and the Neural Collapse of Robustness 13 Nov 2023 jingtongsu/robust_neural_collapse/vgg.py 8683f9fa7a0e16c9 ran no licence file found · pointer only
Label-Only Model Inversion Attacks via Knowledge Transfer 30 Oct 2023 AlanPeng0897/Defend_MI/BiDO/model.py d8ff7dc2584b42c8 unverified MIT (permissive)
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning 28 Oct 2023 guangyaodou/conmu/cv_models/VGG_LTH.py eba3f5bcc6a06d36 ran · our draft was wrong MIT (permissive)
Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning 28 Oct 2023 guangyaodou/conmu/cv_models/VGG.py 793e8fab5db0edb6 ran MIT (permissive)
CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for Image Manipulation 19 Oct 2023 sled-group/cyclenet/annotator/openpose/model.py 0af8635db2bb32a2 ran Apache-2.0 (permissive)
Learning a Cross-modality Anomaly Detector for Remote Sensing Imagery 11 Oct 2023 jingtao-li-cver/uniadrs/models/UniADRS.py 0350d608db78d5c5 ran no licence file found · pointer only
Enhancing Sharpness-Aware Optimization Through Variance Suppression 27 Sep 2023 bingcongli/vasso/models/vgg.py 3068ed82cef91c51 ran MIT (permissive)
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training 12 Aug 2023 jianshuod/tba/models/quan_vgg_imagenet.py afa7785be020b743 unverified Apache-2.0 (permissive)
HyperSparse Neural Networks: Shifting Exploration to Exploitation through Adaptive Regularization 14 Aug 2023 greenautoml4fas/hypersparse/models/vgg.py 8683f9fa7a0e16c9 ran BSD-3-Clause (permissive)
FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods 11 Aug 2023 visinf/funnybirds/funnybirds_complete/models/vgg.py 5adf613fdebfcbd4 ran Apache-2.0 (permissive)
You Can Backdoor Personalized Federated Learning 29 Jul 2023 bapfl/code/models/Cifar10Net.py 69cb81ed8262cd92 ran no licence file found · pointer only
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability 15 Jul 2023 cgcl-codes/transferattacksurrogates/TransferAttack/models/vgg.py 424b4090e4679330 ran MIT (permissive)
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification 24 Jun 2023 xk-huang/OrdinalCLIP/ordinalclip/models/image_encoders/vgg.py b834e29a85d15c71 ran MIT (permissive)
Rethinking the Backward Propagation for Adversarial Transferability 22 Jun 2023 Trustworthy-AI-Group/RPA/models/ghost_vgg.py 9c8a208b6e0b0e40 unverified MIT (permissive)
ControlVideo: Conditional Control for One-shot Text-driven Video Editing and Beyond 26 May 2023 thu-ml/controlvideo/annotator/openpose/model.py 0af8635db2bb32a2 ran Apache-2.0 (permissive)
Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models 25 May 2023 shihaozhaozsh/uni-controlnet/annotator/openpose/model.py 0af8635db2bb32a2 ran MIT recorded; this copy not marked cleared · pointer only
Bayesian Optimization Meets Self-Distillation 25 Apr 2023 sooperset/boss/models/cifar/vgg.py ac62432dc5134b0d ran MIT (permissive)
SEENN: Towards Temporal Spiking Early-Exit Neural Networks 2 Apr 2023 intelligent-computing-lab-yale/seenn/models/spike_vgg.py e01d65615a34b2ff unverified MIT (permissive)
Mask and Restore: Blind Backdoor Defense at Test Time with Masked Autoencoder 27 Mar 2023 tsun/bdmae/models/februus.py 6470f17e85b4a1aa unverified MIT (permissive)
Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights? 24 Feb 2023 VITA-Group/Robust_Weight_Signatures/models/vgg.py eba3f5bcc6a06d36 ran · our draft was wrong MIT (permissive)
Deep OC-SORT: Multi-Pedestrian Tracking by Adaptive Re-Identification 23 Feb 2023 gerardmaggiolino/deep-oc-sort/trackers/deepsort_tracker/reid_model.py c0b3d0e6e5a858ad unverified MIT (permissive)
Empirical Study on Optimizer Selection for Out-of-Distribution Generalization 15 Nov 2022 hiroki11x/optimizer_comparison_ood/backgrounds_challenge/imagenet_models/vgg.py 4663dbc405f4ebb7 unverified Apache-2.0 (permissive)
Untargeted Backdoor Watermark: Towards Harmless and Stealthy Dataset Copyright Protection 27 Sep 2022 THUYimingLi/Untargeted_Backdoor_Watermark/UBW-C/model.py ac62432dc5134b0d ran Apache-2.0 (permissive)
Federated Learning of Large Models at the Edge via Principal Sub-Model Training 28 Aug 2022 yuehniu/modeldecomp-fl/model/vgg.py 5d1fff545c974a71 unverified Apache-2.0 (permissive)
Shift-tolerant Perceptual Similarity Metric 27 Jul 2022 abhijay9/shifttolerant-lpips/models_lpf/vgg.py 898ea4d5b3898d06 unverified BSD-2-Clause (permissive)
Discrete-Constrained Regression for Local Counting Models 20 Jul 2022 xhp-hust-2018-2011/dcreg/Network/CountNet.py bd14ee2717325fe2 ran · our draft was wrong MIT (permissive)
RelaxLoss: Defending Membership Inference Attacks without Losing Utility 12 Jul 2022 DingfanChen/RelaxLoss/source/cifar/models/vgg.py ac62432dc5134b0d ran MIT (permissive)
An Empirical Study of Personalized Federated Learning 27 Jun 2022 onizukalab/fedbench/code/utils/model.py a88e5716356279d0 unverified MIT (permissive)
Topology-aware Generalization of Decentralized SGD 25 Jun 2022 raiden-zhu/generalization-of-dsgd/gpu_work.py f44366385c61c247 ran · our draft was wrong no licence file found · pointer only
The Manifold Hypothesis for Gradient-Based Explanations 15 Jun 2022 tml-tuebingen/explanations-manifold/replicate-paper/other_datasets/vgg.py eba3f5bcc6a06d36 ran · our draft was wrong MIT (permissive)
Bilateral Dependency Optimization: Defending Against Model-inversion Attacks 11 Jun 2022 xpeng9719/defend_mi/BiDO/model.py d8ff7dc2584b42c8 unverified MIT (permissive)
On the Eigenvalues of Global Covariance Pooling for Fine-grained Visual Recognition 26 May 2022 KingJamesSong/DifferentiableSVD/src/network/mpncovvgg.py ac62432dc5134b0d ran Apache-2.0 (permissive)
One-Pixel Shortcut: on the Learning Preference of Deep Neural Networks 24 May 2022 cychomatica/one-pixel-shotcut/model/VGG.py ac62432dc5134b0d ran Apache-2.0 (permissive)
Domain Enhanced Arbitrary Image Style Transfer via Contrastive Learning 19 May 2022 zyxelsa/cast_pytorch/models/MSP.py ff27a10d6de78d9b unverified Apache-2.0 (permissive)
Beyond the Prototype: Divide-and-conquer Proxies for Few-shot Segmentation 21 Apr 2022 chunbolang/DCP/model/DCP.py 3817cebff2add9fb ran · our draft was wrong MIT (permissive)
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck 6 Apr 2022 ByungKwanLee/Adversarial-Information-Bottleneck/model/vgg.py cd1ddaba79c79407 unverified MIT (permissive)
Learning What Not to Segment: A New Perspective on Few-Shot Segmentation 15 Mar 2022 chunbolang/BAM/model/vgg.py e31250b969b51841 ran · our draft was wrong MIT (permissive)
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains 27 Jan 2022 Alibaba-AAIG/Beyond-ImageNet-Attack/imagenet/vgg.py ac62432dc5134b0d ran MIT (permissive)
Beyond ImageNet Attack: Towards Crafting Adversarial Examples for Black-box Domains 27 Jan 2022 Alibaba-AAIG/Beyond-ImageNet-Attack/cifar/model.py ec2c08983ca02f3d unverified MIT (permissive)
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance 23 Nov 2021 Xiaoxuan-Yang/HERO/models/cifar/vgg.py ac62432dc5134b0d ran Apache-2.0 (permissive)
On the Equivalence between Neural Network and Support Vector Machine 11 Nov 2021 leslie-CH/equiv-nn-svm/models/model.py bdd93f20e2c85cfa unverified Apache-2.0 (permissive)
Structure from Silence: Learning Scene Structure from Ambient Sound 10 Nov 2021 IFICL/structure-from-silence/models/vggish.py 2a67f8be343c180f unverified MIT (permissive)
ByteTrack: Multi-Object Tracking by Associating Every Detection Box 13 Oct 2021 ifzhang/ByteTrack/yolox/deepsort_tracker/reid_model.py c0b3d0e6e5a858ad unverified MIT (permissive)
ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training 11 Oct 2021 hui-po-wang/progfed/models/vgg.py 2e9f2a01123f7bb8 unverified MIT (permissive)
Phase Collapse in Neural Networks 11 Oct 2021 florentinguth/phasecollapse/models/vgg.py 83bfccefe2f22209 unverified BSD-3-Clause (permissive)
A Principled Approach to Failure Analysis and Model Repairment: Demonstration in Medical Imaging 25 Sep 2021 Rokken-lab6/Failure-Analysis-and-Model-Repairment/model/model_vgg.py 84276219016f75da unverified Apache-2.0 (permissive)
Few-Shot Segmentation with Global and Local Contrastive Learning 11 Aug 2021 liuweide01/GQNet-Few-shot-segmentation/model/vgg.py e31250b969b51841 ran · our draft was wrong MIT (permissive)
Layer Folding: Neural Network Depth Reduction using Activation Linearization 17 Jun 2021 LayerFolding/Layer-Folding/VGG_Cifar10_postfold.py 718e3968934c45b7 unverified BSD-3-Clause (permissive)
Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability Authorization 13 Jun 2021 conditionWang/NTL/src/ntl/ntl_cifar_stl.py 8b4b2aa0500375d6 ran · our draft was wrong no licence file found · pointer only
Efficient Lottery Ticket Finding: Less Data is More 6 Jun 2021 VITA-Group/PrAC-LTH/models/vgg.py eba3f5bcc6a06d36 ran · our draft was wrong MIT (permissive)
Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks 28 May 2021 DongyoungLim/THEO_POULA/models/vgg.py ac62432dc5134b0d ran MIT (permissive)
Home Action Genome: Cooperative Compositional Action Understanding 11 May 2021 nishantrai18/homage/backbone/vgg.py ac62432dc5134b0d ran MIT (permissive)
Bridging the Visual Gap: Wide-Range Image Blending 28 Mar 2021 julia0607/Wide-Range-Image-Blending/models/Generator.py 3ed8e9b75e8c9c50 ran no licence file found · pointer only
Can Vision Transformers Learn without Natural Images? 24 Mar 2021 hirokatsukataoka16/FractalDB-Pretrained-ResNet-PyTorch/finetuning/vgg.py ac62432dc5134b0d ran MIT (permissive)
Learning Black-Box Attackers with Transferable Priors and Query Feedback 21 Oct 2020 TrustworthyDL/LeBA/imagenet/models/vgg.py eba3f5bcc6a06d36 ran · our draft was wrong Apache-2.0 (permissive)
Maximum-Entropy Adversarial Data Augmentation for Improved Generalization and Robustness 15 Oct 2020 garyzhao/ME-ADA/model_cifar.py fc16595d232916da ran · our draft was wrong BSD-3-Clause (permissive)
Open-sourced Dataset Protection via Backdoor Watermarking 12 Oct 2020 THUYimingLi/Open-sourced_Dataset_Protection/CIFAR/model.py ac62432dc5134b0d ran Apache-2.0 (permissive)
Neural Bootstrapper 2 Oct 2020 sungbinlim/GBS/models/vgg_ca.py ac62432dc5134b0d ran MIT (permissive)
WAFFLE: Watermarking in Federated Learning 17 Aug 2020 ssg-research/WAFFLE/src/Network.py eba3f5bcc6a06d36 ran · our draft was wrong Apache-2.0 (permissive)
AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows 15 Jul 2020 hmdolatabadi/AdvFlow/vgg.py eba3f5bcc6a06d36 ran · our draft was wrong 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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