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load_labels

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

load_labels appears in the code Syntology harvested for 29 papers, as 25 distinct code bodies found in 30 places (a place is one code body under one paper). At least one of them ran in 22 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 load_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 17 of the 25 distinct code bodies named load_labels; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
1ran · violated contract
5ran · our draft was wrong
0ran · fixture could not drive it
9ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 30 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

29 papers shown of 29, newest first; 30 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 5 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
Feature Evolution and Migration during Vision Transformer Training * added by Syntology 2026-08 (from id) joonasrooben/VIT-Feature-Evolution-and-Migration/src/concept_type_classifier.py 6e7bd8b39066c021 ran no licence file found · pointer only
HealthAgentBench: A Unified Benchmark Suite of Realistic Agentic Healthcare Environments for Challenging Frontier AI Agents added by Syntology 2026-06 (from id) microsoft/HealthAgentBench/tasks/ehr_event_modelling_new_acutemi/environment/stage_data.py a932353e852af481 ran MIT (permissive)
CHARTOGRAPHER: Counterfactual Chart Generation for Evaluating Vision-Language Models added by Syntology 2026-05 (from id) vis-nlp/ChartQA/Models/VL-T5/inference/utils.py 8a78a755bda274a5 ran GPL-3.0 (copyleft) · pointer only
ConFit v3: Improving Resume-Job Matching with LLM-based Re-Ranking added by Syntology 2026-05 (from id) jasonyux/ConFit-v3/confit_v3/trainer/load_data.py 2e92fbbbde4dcc16 ran no licence file found · pointer only
MultiLinguahah : A New Unsupervised Multilingual Acoustic Laughter Segmentation Method added by Syntology 2026-05 (from id) sofia-callejas/Multilinguahah/laughter_detection/core/utils.py 54985ed275475940 ran licence not identified · pointer only
FastGL: A GPU-Efficient Framework for Accelerating Sampling-Based GNN Training at Large Scale 23 Sep 2024 a1bc2def6g/fastgl-ae/train_fastgl.py 7c3b1447eaf6fdf7 ran no licence file found · pointer only
Learning Unknowns from Unknowns: Diversified Negative Prototypes Generator for Few-Shot Open-Set Recognition 23 Aug 2024 icgy96/dnpg/dataloader/tiered_imagenet.py 66e6fec21aaadc97 ran MIT (permissive)
Large-Scale Pretraining and Finetuning for Efficient Jet Classification in Particle Physics 2024-08 (from id) JavierZhao/JetCLR/scripts/run_jetclr.py bb4fe4736d20ceb6 ran · violated contract no licence file found · pointer only
Multi-Object Hallucination in Vision-Language Models 8 Jul 2024 sled-group/moh/data-annotation/panoptic_COCO.py df2411b38622c0f9 ran no licence file found · pointer only
Dive into the Chasm: Probing the Gap between In- and Cross-Topic Generalization 2 Feb 2024 ukplab/eacl2024-cross-topic-probing/src/amnesic_probing/debiased_finetuning/utils.py 6686bf211e128ab1 ran Apache-2.0 (permissive)
Boosting Adversarial Transferability by Block Shuffle and Rotation 20 Aug 2023 identical code first harvested elsewhere db428026d8831b8e ran · our draft was wrong licence of this copy not recorded
(Certified!!) Adversarial Robustness for Free! 21 Jun 2022 blaisedelattre/bridging_the_gap_rs/code/certify_cpm_from_log.py b3199d231cdd7b96 unverified MIT (permissive)
OPT: Open Pre-trained Transformer Language Models 2 May 2022 mthcom/hscore-dataset-pruning/create_scores.py 559cff9b7463d528 unverified Apache-2.0 (permissive)
OPT: Open Pre-trained Transformer Language Models 2 May 2022 mthcom/hscore-dataset-pruning/create_scores_race.py 9387fa891879e614 unverified Apache-2.0 (permissive)
Visual Spatial Reasoning 30 Apr 2022 cambridgeltl/visual-spatial-reasoning/feature_extraction/lxmert/utils.py 8a78a755bda274a5 ran Apache-2.0 (permissive)
DIME: Fine-grained Interpretations of Multimodal Models via Disentangled Local Explanations 3 Mar 2022 lvyiwei1/dime/lxmert/utils.py 8a78a755bda274a5 ran MIT (permissive)
VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena 14 Dec 2021 heidelberg-nlp/valse/utils.py 8a78a755bda274a5 ran MIT (permissive)
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification 26 Aug 2021 bpucla/ibebm/semi_sup_classification.py d641947579d91aa6 ran · honoured contract no licence file found · pointer only
A Closer Look at How Fine-tuning Changes BERT 27 Jun 2021 utahnlp/BERT-fine-tuning-analysis/probing/utils.py 2d7199caf1f33be2 unverified MIT (permissive)
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking 17 Jun 2021 utahnlp/x-fact/transformers/majority_class.py 90904728fb3e47a1 unverified MIT (permissive)
DirectProbe: Studying Representations without Classifiers 13 Apr 2021 utahnlp/DirectProbe/directprobe/utils.py d59d2007ad27229f unverified MIT (permissive)
KaoKore: A Pre-modern Japanese Art Facial Expression Dataset 20 Feb 2020 rois-codh/kaokore/code/dataloader_pytorch.py 33a0ad4fd2fbce4b ran · our draft was wrong no licence file found · pointer only
Interactive Refinement of Cross-Lingual Word Embeddings 8 Nov 2019 forest-snow/clime-ui/utils.py 9ebcf96b972b7a4b unverified MIT (permissive)
Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks 17 Aug 2019 JHL-HUST/SI-NI-FGSM/simple_eval.py db428026d8831b8e ran · our draft was wrong no licence file found · pointer only
On GANs and GMMs 31 May 2018 eitanrich/gans-n-gmms/ndb_mnist_demo.py d47ee5d50b52acef ran · honoured contract no licence file found · pointer only
Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? 27 Nov 2017 okankop/Efficient-3DCNNs/utils/kinetics_json.py 90b941a8c18bcd57 ran · our draft was wrong MIT (permissive)
Neural Models for Documents with Metadata 25 May 2017 dallascard/scholar/run_scholar.py 6fe1b8e2e4cc2a38 ran · our draft was wrong Apache-2.0 (permissive)
Joint 2D-3D-Semantic Data for Indoor Scene Understanding 3 Feb 2017 alexsax/2D-3D-Semantics/assets/utils.py 40ff9df70f20a948 ran · our draft was wrong Apache-2.0 (permissive)
Towards a Neural Statistician 7 Jun 2016 cravingoxygen/neuralstat/spatialcreate.py b1af56804ab57958 unverified MIT (permissive)
arXiv:Huang_Task-Adaptive_Negative_Envision_for_Few-Shot_Open-Set_Recognition_CVPR_2022_paper shiyuanh/TANE/dataloader/tiered_imagenet.py 66e6fec21aaadc97 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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