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_no_grad_trunc_normal_

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

_no_grad_trunc_normal_ appears in the code Syntology harvested for 16 papers, as 16 distinct code bodies found in 16 places (a place is one code body under one paper). At least one of them ran in 16 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 _no_grad_trunc_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 16 of the 16 distinct code bodies named _no_grad_trunc_normal_; 0 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
14ran · fixture could not drive it
0ran
0unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 16 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

16 papers shown of 16, newest first; 16 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 2 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
EchoJEPA: A Latent Predictive Foundation Model for Echocardiography added by Syntology 2026-02 (from id) bowang-lab/EchoJEPA/src/models/predictor.py e7c3b600144accb0 ran · our draft was wrong Apache-2.0 (permissive)
EEG-FM-Compass: Progress, Benchmarking, and Future Directions for EEG Foundation Models added by Syntology 2026-01 (from id) Dingkun0817/EEG-FM-Benchmark/models/FM/EEGPT/Model_EEGPT.py 307242ac3279e182 ran · our draft was wrong MIT (permissive)
arXiv:2506.03110 2025-06 (from id) shuaiyi308/ReCIT/methods/visiontransformer.py 32d549c7c63738c0 ran · fixture could not drive it no licence file found · pointer only
Geo-Sign: Hyperbolic Contrastive Regularisation for Geometrically Aware Sign Language Translation 30 May 2025 ed-fish/Geo-Sign/models.py 3f7062bb9233a958 ran · fixture could not drive it no licence file found · pointer only
DuoDiff: Accelerating Diffusion Models with a Dual-Backbone Approach 12 Oct 2024 razvanmatisan/duodiff/models/early_exit.py a682db89c810ed54 ran · fixture could not drive it no licence file found · pointer only
Real-world Image Dehazing with Coherence-based Pseudo Labeling and Cooperative Unfolding Network 12 Jun 2024 cnyvfang/corun-colabator/corun_colabator/archs/corun_arch.py 7eb8f921afc80af3 ran · fixture could not drive it no licence file found · pointer only
Enhancing Feature Diversity Boosts Channel-Adaptive Vision Transformers 26 May 2024 chaudatascience/diverse_channel_vit/models/dichavit.py d05e018c317ed42b ran · fixture could not drive it MIT (permissive)
Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers 21 Aug 2023 enyac-group/evol-q/joint_evol_opt.py ed7e8d54fc7c6786 ran · fixture could not drive it Apache-2.0 (permissive)
Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos 19 Aug 2023 shvdiwnkozbw/SMTC/src/model/model_action.py cffc671a6c09decc ran · fixture could not drive it no licence file found · pointer only
Part-Aware Transformer for Generalizable Person Re-identification 7 Aug 2023 liyuke65535/part-aware-transformer/model/backbones/vit_pytorch.py 9143fd74c66cf68d ran · fixture could not drive it no licence file found · pointer only
Safe Self-Refinement for Transformer-based Domain Adaptation 16 Apr 2022 tsun/SSRT/model/SSRT.py fa2dd3be10cf9804 ran · fixture could not drive it MIT (permissive)
UniFormer: Unified Transformer for Efficient Spatiotemporal Representation Learning 12 Jan 2022 towhee-io/towhee/towhee/models/uniformer/uniformer.py 607038475fdc388b ran · fixture could not drive it Apache-2.0 (permissive)
SwinIR: Image Restoration Using Swin Transformer 23 Aug 2021 XPixelGroup/BasicSR/basicsr/archs/swinir_arch.py c30c007e9c6365e0 ran · fixture could not drive it Apache-2.0 (permissive)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification 30 May 2021 JDAI-CV/fast-reid/fastreid/modeling/backbones/vision_transformer.py 813ed3a96c17cf42 ran · fixture could not drive it Apache-2.0 (permissive)
Swin Transformer: Hierarchical Vision Transformer using Shifted Windows 25 Mar 2021 towhee-io/towhee/towhee/models/swin_transformer/model.py 730a23e2dd3abea0 ran · fixture could not drive it Apache-2.0 (permissive)
Training data-efficient image transformers & distillation through attention 23 Dec 2020 alibaba/EasyCV/easycv/models/backbones/vision_transformer.py 5bcbd988b672cf32 ran · fixture could not drive it 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