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extract_labels

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

extract_labels appears in the code Syntology harvested for 25 papers, as 16 distinct code bodies found in 26 places (a place is one code body under one paper). At least one of them ran in 15 of the papers; 2 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 extract_labels 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 8 of the 16 distinct code bodies named extract_labels; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
6ran
8unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 4 of the 26 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

25 papers shown of 25, newest first; 26 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 1 papers added by Syntology; 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.

PaperDateFileStatus SyntologyLicence
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems added by Syntology 2026-05 (from id) praal/llm-monitoring/Monitoring/auditScience.py 8651a2339f17c47a ran MIT (permissive)
Formal Methods Meet LLMs: Auditing, Monitoring, and Intervention for Compliance of Advanced AI Systems added by Syntology 2026-05 (from id) praal/llm-monitoring/Monitoring/auditTextWorld.py 1dfdcdad0413b868 ran MIT (permissive)
PaPaGei: Open Foundation Models for Optical Physiological Signals 27 Oct 2024 Nokia-Bell-Labs/papagei-foundation-model/linearprobing/utils.py c1b7b82f4e8d1c33 ran · fixture could not drive it fingerprinted BSD-3-Clause (permissive)
Sm: enhanced localization in Multiple Instance Learning for medical imaging classification 4 Oct 2024 Franblueee/SmMIL/code/experiments/extract_patch_labels.py 81a0102372d8f396 unverified Apache-2.0 (permissive)
SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals 28 May 2024 rthapa84/sleepfm-codebase/sleepfm/0_extract_pretraining_data.py 42245dbd78d632cc ran MIT (permissive)
LingoQA: Visual Question Answering for Autonomous Driving 21 Dec 2023 wayveai/driving-with-llms/train_bc.py fbe62c89d519350f ran fingerprinted Apache-2.0 (permissive)
Label Poisoning is All You Need 29 Oct 2023 SewoongLab/FLIP/modules/generate_labels/utils.py 851823b5c0c63f72 ran MIT (permissive)
Sentiment Analysis in the Era of Large Language Models: A Reality Check 24 May 2023 damo-nlp-sg/llm-sentiment/evaluate.py 3ed2c1a495206991 unverified MIT recorded; this copy not marked cleared · pointer only
Tight Certification of Adversarially Trained Neural Networks via Nonconvex Low-Rank Semidefinite Relaxations 30 Nov 2022 IBM/CROWN-Robustness-Certification/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract Apache-2.0 (permissive)
Self-supervised transfer learning of physiological representations from free-living wearable data 18 Nov 2020 sdimi/Step2heart/05_transfer_learning.py 2be11adc2eafa76b unverified GPL-3.0 (copyleft) · pointer only
Proper Network Interpretability Helps Adversarial Robustness in Classification 26 Jun 2020 AkhilanB/Proper-Interpretability/funcs.py a0cf6bb81ff7819e ran · honoured contract MIT (permissive)
Practical Quasi-Newton Methods for Training Deep Neural Networks 16 Jun 2020 renyiryry/kbfgs_neurips2020_public/datasets_utils.py 253a267c45bbe249 unverified MIT (permissive)
A Signal Propagation Perspective for Pruning Neural Networks at Initialization 14 Jun 2019 namhoonlee/spp-public/spp/mnist.py 57f1bd325f3272fb unverified MIT (permissive)
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks 27 Nov 2018 uclaml/Frank-Wolfe-AdvML/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract Apache-2.0 (permissive)
Efficient Neural Network Robustness Certification with General Activation Functions 2 Nov 2018 huanzhang12/CertifiedReLURobustness/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract BSD-2-Clause (permissive)
Heated-Up Softmax Embedding 11 Sep 2018 ColumbiaDVMM/Heated_Up_Softmax_Embedding/tensorflow/mnist.py 1318c92a86283291 unverified BSD-2-Clause (permissive)
MixUp as Locally Linear Out-Of-Manifold Regularization 7 Sep 2018 SITE5039/AdaMixUp/GitHub.AdaMixup.AAAI.MNIST.Cifar.py 6258fc666d11d4ba ran no licence file found · pointer only
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks 30 May 2018 IBM/Autozoom-Attack/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract Apache-2.0 (permissive)
GenAttack: Practical Black-box Attacks with Gradient-Free Optimization 28 May 2018 nesl/adversarial_genattack/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract MIT (permissive)
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization 25 May 2018 IBM/ZOSVRG-BlackBox-Adv/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract Apache-2.0 (permissive)
Memorization Precedes Generation: Learning Unsupervised GANs with Memory Networks 5 Mar 2018 whyjay/memoryGAN/affmnist.py 1318c92a86283291 unverified MIT (permissive)
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives 21 Feb 2018 IBM/Contrastive-Explanation-Method/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract Apache-2.0 (permissive)
Dynamic Routing Between Capsules 26 Oct 2017 ameliajimenez/capsule-networks-medical-data-challenges/data_loader.py a4fd5ddd12015349 unverified MIT (permissive)
FaceNet: A Unified Embedding for Face Recognition and Clustering 12 Mar 2015 davidsandberg/facenet/tmp/mnist_center_loss.py 1aa4a5e8c6ad354a unverified MIT (permissive)
arXiv:aaai_20650 IBM/UAE/Supervised/setup_mnist.py a0cf6bb81ff7819e ran · honoured contract Apache-2.0 (permissive)
arXiv:2024.findings-naacl.246 DAMO-NLP-SG/LLM-Sentiment/evaluate.py 3ed2c1a495206991 unverified MIT recorded; this copy not marked cleared · pointer only

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".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections