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attention_layer

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

attention_layer appears in the code Syntology harvested for 9 papers, as 22 distinct code bodies found in 22 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 attention_layer 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 22 distinct code bodies named attention_layer; 20 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
2ran
20unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 22 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

9 papers shown of 9, newest first; 22 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; 2 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
Breaking the Symmetry: Resolving Symmetry Ambiguities in Equivariant Neural Networks 29 Oct 2022 sidhikabalachandar/oavnn/model.py 1d0922219a132b52 ran no licence file found · pointer only
BERT-QE: Contextualized Query Expansion for Document Re-ranking 15 Sep 2020 zh-zheng/BERT-QE/functions.py 19d5694b63733ac3 unverified Apache-2.0 (permissive)
Probabilistically Masked Language Model Capable of Autoregressive Generation in Arbitrary Word Order 24 Apr 2020 huawei-noah/Pretrained-Language-Model/PMLM/interactive_conditional_samples_sincos_acrostic.py 3e9d8117d432e11f unverified no licence file found · pointer only
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 26 Sep 2019 brightmart/albert_zh/modeling_google.py 154407ccae03925e unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 TeamLab/bert-gcn-for-paper-citation/modeling.py 62ba879682ced155 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 DeligientSloth/bert-tensorflow/modeling.py d16dcfaecf4647ad unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 Satan012/BERT/modeling.py f648a4567745fd52 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 h4ste/oscar/modeling.py e2b4886c5ce3dcec unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 guoyaohua/BERT-Classifier/modeling.py 3962b885663c0edd unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 pengshuyuan/Bert/modeling.py c18bd0ef8d750675 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 zsweet/BERT_zsw/modeling.py 74d797f5a80810b0 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 deepmipt/bert/bert_dp/modeling.py 0003cab2e9992161 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 haidershaour/bert/modeling.py 6e650585e8d0a755 unverified Apache-2.0 (permissive)
Graph Attention Networks 30 Oct 2017 liu6zijian/simplified-gcn-model/gat.py 6ece140d37c4f3d6 ran no licence file found · pointer only
Attention Is All You Need 12 Jun 2017 yydai/bert_test/modeling.py 0bae2227c100acf4 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 SCismycat/bert_code_view/modeling.py a633080fd26110de unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 semal/bert/bert/core/modeling.py d1db9d5c54d70ef9 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 MichaelZhouwang/LMlexsub/modeling.py 186bace8787aeea4 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 ricardordb/bert/modeling.py 0a96d33613063c14 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 appcoreopc/berty/modeling.py 3a42641307ce9cfa unverified Apache-2.0 (permissive)
arXiv:2023.acl-long.693 AI4Bharat/IndicBERT/train/modeling.py 6e2f8a86932a499b unverified MIT (permissive)
arXiv:2021.acl-long.233 ACL2020SpellGCN/SpellGCN/modeling.py 333a4e02334f1f77 unverified no licence file found · pointer only

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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