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discretize

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

discretize appears in the code Syntology harvested for 13 papers, as 11 distinct code bodies found in 14 places (a place is one code body under one paper). At least one of them ran in 5 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 discretize 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 3 of the 11 distinct code bodies named discretize; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
3ran
8unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 14 places is 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

13 papers shown of 13, newest first; 14 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. 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
An Analysis of Causal Effect Estimation using Outcome Invariant Data Augmentation added by Syntology 2025-10 (from id) uzairakbar/causal-data-augmentation/src/experiments/utils.py 21e9136cc726ebc4 unverified MIT (permissive)
Understanding Variational Autoencoders with Intrinsic Dimension and Information Imbalance 4 Nov 2024 bancaditalia/understanding-variational-autoencoders-with-intrinsic-dimension-and-information-imbalance/vae_framework/utils/dataset_utils.py fe5b96c6576586d2 unverified AGPL-3.0 (copyleft) · pointer only
HYGENE: A Diffusion-based Hypergraph Generation Method 29 Aug 2024 DorianGailhard/HYGENE/util/model_helper.py e97fe300b007fc38 ran fingerprinted MIT (permissive)
MeshXL: Neural Coordinate Field for Generative 3D Foundation Models 31 May 2024 openmeshlab/meshxl/models/mesh_xl/tokenizer.py 1bc535637544f007 ran MIT (permissive)
Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning 12 Mar 2024 OPTML-Group/Unlearn-WorstCase/data-wise/unlearn/boundary_sh.py 20b8d1668895f8bb ran fingerprinted MIT (permissive)
SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation 19 Oct 2023 optml-group/unlearn-saliency/Classification/unlearn/boundary_sh.py 20b8d1668895f8bb ran fingerprinted MIT (permissive)
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation 24 Nov 2022 dssg/aequitas/src/aequitas/preprocessing.py 169ee466f281cd50 unverified MIT (permissive)
SPECTRE: Spectral Conditioning Helps to Overcome the Expressivity Limits of One-shot Graph Generators 4 Apr 2022 KarolisMart/SPECTRE/util/model_helper.py e97fe300b007fc38 ran fingerprinted MIT (permissive)
Efficiently Modeling Long Sequences with Structured State Spaces 31 Oct 2021 srush/annotated-s4/s4/s4.py 2fbdf4a5c125f869 unverified MIT (permissive)
Efficiently Modeling Long Sequences with Structured State Spaces 31 Oct 2021 srush/annotated-s4/s4/s4d.py c29c5241ff1d2f5a unverified MIT (permissive)
FitVid: Overfitting in Pixel-Level Video Prediction 24 Jun 2021 google-research/fitvid/utils.py b89a68818addda7d unverified Apache-2.0 (permissive)
Deep Multi-Agent Reinforcement Learning with Relevance Graphs 30 Nov 2018 tegg89/magnet/models/action_execution/actor_critic_nn.py e95e6dd3a35646ba unverified Apache-2.0 (permissive)
Learning Plannable Representations with Causal InfoGAN 24 Jul 2018 thanard/causal-infogan/planning.py c73e58cf108ab89e unverified MIT (permissive)
Continuous control with deep reinforcement learning 9 Sep 2015 tegg89/DLCamp_Jeju2018/models/action_execution/actor_critic_nn.py e95e6dd3a35646ba unverified 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".

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