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truncated_normal

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

truncated_normal appears in the code Syntology harvested for 12 papers, as 11 distinct code bodies found in 13 places (a place is one code body under one paper). At least one of them ran in 2 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 truncated_normal 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 2 of the 11 distinct code bodies named truncated_normal; 9 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
2ran · fixture could not drive it
0ran
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 13 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

12 papers shown of 12, newest first; 13 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; 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
Exploring Feature-based Knowledge Distillation for Recommender System: A Frequency Perspective 16 Nov 2024 woriazzc/kds/modeling/backbone/hstu_base_module.py a8e816817fb57bc8 unverified MIT (permissive)
Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models 7 Jun 2023 google-research/maskgit/maskgit/nets/maskgit_transformer.py 0408240381821d2c unverified Apache-2.0 (permissive)
MaskSketch: Unpaired Structure-guided Masked Image Generation 10 Feb 2023 google-research/masksketch/masksketch/nets/maskgit_transformer.py 0408240381821d2c unverified Apache-2.0 (permissive)
MAGVIT: Masked Generative Video Transformer 10 Dec 2022 google-research/magvit/videogvt/models/simplified_bert.py 4d2dd72078f90cca unverified Apache-2.0 (permissive)
MAGVIT: Masked Generative Video Transformer 10 Dec 2022 google-research/magvit/videogvt/models/t5_bert.py 0c839479ca2b7173 unverified Apache-2.0 (permissive)
TrojViT: Trojan Insertion in Vision Transformers 27 Aug 2022 mxzheng/trojvit/adversarialbox/utils.py a67ef0728ca2b043 unverified MIT (permissive)
Two4Two: Evaluating Interpretable Machine Learning - A Synthetic Dataset For Controlled Experiments 6 May 2021 mschuessler/two4two/two4two/utils.py 483fdad9d4bd81b7 unverified MIT (permissive)
Learning Gradient Fields for Shape Generation 14 Aug 2020 RuojinCai/ShapeGF/models/generators/mlp_gen.py 01c2ef51da9734da unverified MIT (permissive)
CaSPR: Learning Canonical Spatiotemporal Point Cloud Representations 6 Aug 2020 davrempe/caspr/caspr/models/utils.py 01c2ef51da9734da unverified MIT (permissive)
Optimal transport mapping via input convex neural networks 28 Aug 2019 amirtag/ot-icnn/High_dim_experiments/Gaussian_to_Gaussian.py a8ae77e34ab6d89d ran · fixture could not drive it no licence file found · pointer only
Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models 30 May 2018 jingwu6/handful-of-trials-in-pytorch/modeling/models/BNN.py 24b8d2393ffaa19e unverified no licence file found · pointer only
Attention Is All You Need 12 Jun 2017 DevSinghSachan/multilingual_nmt/models/transformer.py d779905dcbe43c91 ran · fixture could not drive it no licence file found · pointer only
arXiv:aaai_25576 LHRLAB/NQE/src/new_model/graph_encoder.py d89771383d25b2bd unverified 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".

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