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normalise

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

normalise appears in the code Syntology harvested for 26 papers, as 20 distinct code bodies found in 27 places (a place is one code body under one paper). At least one of them ran in 8 of the papers; 6 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 normalise 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 7 of the 20 distinct code bodies named normalise; 13 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
1ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
4ran
13unverified
6fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 27 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

26 papers shown of 26, newest first; 27 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; 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
GEqTrain: A Configuration-Driven Framework for Retargeting Equivariant Graph Neural Networks Across 3D Scientific Tasks added by Syntology 2026-07 (from id) limresgrp/HEroBM/herobm/utils/analysis.py 81dd09f5d9856e2d ran fingerprinted MIT (permissive)
Online Safety Monitoring for LLMs added by Syntology 2026-07 (from id) monasch/llm-monitor/python_scripts/add_final_label.py b680b953c3c12edc ran fingerprinted MIT (permissive)
Anchored-Branched Steady-state WInd Flow Transformer (AB-SWIFT): a metamodel for 3D atmospheric flow in urban environments added by Syntology 2026-03 (from id) cerea-daml/abswift/dataset/random_buildings_dataset.py 80dc83d86c96f7e3 unverified MIT (permissive)
Enabling Progressive Whole-slide Image Analysis with Multi-scale Pyramidal Network added by Syntology 2026-02 (from id) CraigMyles/SurGen-Dataset/reproducibility/wsi_core/WholeSlideImage.py 3a334b495845600c unverified GPL-3.0 (copyleft) · pointer only
Diffusion Counterfactual Generation with Semantic Abduction 9 Jun 2025 rajatrasal/diffusion-counterfactuals/model/mnist.py e8a4d61a5fec68dd unverified MIT (permissive)
The Spotlight Resonance Method: Resolving the Alignment of Embedded Activations 9 May 2025 GeorgeBird1/Spotlight-Resonance-Method/SpotlightResonanceMethod.py a5fc79aaef54e9b7 ran · our draft was wrong fingerprinted no licence file found · pointer only
ARC: Anchored Representation Clouds for High-Resolution INR Classification 19 Mar 2025 jluij/anchored_representation_clouds/tasks/fit_inrs.py 794a68324e6429c8 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
Gaussian Processes for Probabilistic Estimates of Earthquake Ground Shaking: A 1-D Proof-of-Concept 4 Dec 2024 sscivier/gp-prob-earthquake-shaking/utils/data_gen_utils.py 8587df9a22c58e46 unverified Apache-2.0 (permissive)
Uniformly Stable Algorithms for Adversarial Training and Beyond 3 May 2024 jiancongxiao/moreau-envelope-sgd/adversarial_robustness_overfitting/utils.py d2a4ac781b2a9628 unverified no licence file found · pointer only
LLMs cannot find reasoning errors, but can correct them given the error location 14 Nov 2023 whgtyen/big-bench-mistake/annotate_dyck_languages.py abed58b3f4aafc06 ran fingerprinted Apache-2.0 (permissive)
BLESS: Benchmarking Large Language Models on Sentence Simplification 24 Oct 2023 ZurichNLP/BLESS/evaluation/simplification_evaluation.py 6fa2469a4abc4b97 ran fingerprinted MIT (permissive)
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting 13 Oct 2023 tmllab/2024_ICLR_DOM/utils.py d2a4ac781b2a9628 unverified MIT (permissive)
MaxCorrMGNN: A Multi-Graph Neural Network Framework for Generalized Multimodal Fusion of Medical Data for Outcome Prediction 13 Jul 2023 IBM/MMMG/Graph_Classification/utils/autoencoder_modules.py 703833189e8bde6c unverified Apache-2.0 (permissive)
Certified Robust Neural Networks: Generalization and Corruption Resistance 3 Mar 2023 ryanlucas3/hr_neural_networks/HR_Neural_Networks/Paper_experiments/Section_6.2/utils.py d2a4ac781b2a9628 unverified MIT (permissive)
Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors 31 Oct 2022 optimal-pse-lab/pulsed-reactor-optimisation/utils.py 0987413217de1d2f unverified MIT (permissive)
A2: Efficient Automated Attacker for Boosting Adversarial Training 7 Oct 2022 alipay/A2-efficient-automated-attacker-for-boosting-adversarial-training/utils.py d2a4ac781b2a9628 unverified Apache-2.0 (permissive)
How do Variational Autoencoders Learn? Insights from Representational Similarity 17 May 2022 bonheml/vae_learning_dynamics/vae_ld/learning_dynamics/information_bottleneck.py 82160aff46ed416e unverified Apache-2.0 (permissive)
MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages 18 Apr 2022 rita-nlp/italic/asr_inference.py 48422a4b6a62ca2f unverified Apache-2.0 (permissive)
Using Multiple Self-Supervised Tasks Improves Model Robustness 7 Apr 2022 mattlawhon/SelfSupDefense/utils.py d2a4ac781b2a9628 unverified Apache-2.0 (permissive)
Adversarial Attacks are Reversible with Natural Supervision 26 Mar 2021 cvlab-columbia/SelfSupDefense/utils.py d2a4ac781b2a9628 unverified Apache-2.0 (permissive)
Learning to Generate Noise for Multi-Attack Robustness 22 Jun 2020 divyam3897/MNG_AC/core.py 8b28005c645a1f0d unverified MIT (permissive)
Generative Latent Implicit Conditional Optimization when Learning from Small Sample 31 Mar 2020 IdanAzuri/glico-learning-small-sample/glico_model/cifar10.py e6db98c4f0c516df unverified MIT (permissive)
Generative Latent Implicit Conditional Optimization when Learning from Small Sample 31 Mar 2020 IdanAzuri/glico-learning-small-sample/glico_model/cifar100.py f0a379836cfa494d unverified MIT (permissive)
Predicting materials properties without crystal structure: Deep representation learning from stoichiometry 1 Oct 2019 s-a-malik/inorg-synth-graph/preprocess.py 71df8083f550743e unverified MIT (permissive)
MixMatch: A Holistic Approach to Semi-Supervised Learning 6 May 2019 kevinghst/mixmatch/dataset/cifar10.py d2a4ac781b2a9628 unverified MIT (permissive)
Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks 20 Nov 2018 ma921/XRDidentifier/train_expert.py f1a7af06566be3ed ran · violated contract fingerprinted no licence file found · pointer only
arXiv:2024.findings-acl.826 WHGTyen/BIG-Bench-Mistake/annotate_dyck_languages.py abed58b3f4aafc06 ran fingerprinted Apache-2.0 (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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