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layer_norm

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

layer_norm appears in the code Syntology harvested for 32 papers, as 31 distinct code bodies found in 38 places (a place is one code body under one paper). At least one of them ran in 4 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 layer_norm 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 4 of the 31 distinct code bodies named layer_norm; 27 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
1ran · fixture could not drive it
1ran
27unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 38 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

32 papers shown of 32, newest first; 38 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; 3 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
Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning added by Syntology 2026-02 (from id) chandar-lab/stream-rep-rl/algorithms/dqn-spr.py b20d0377d799a4b6 unverified no licence file found · pointer only
MicroScopiQ: Accelerating Foundational Models through Outlier-Aware Microscaling Quantization 8 Nov 2024 georgia-tech-synergy-lab/microscopiq-llm-quantization/number_system/mx/layernorm.py 494a1f0c452b05c6 unverified MIT (permissive)
Reducing Fine-Tuning Memory Overhead by Approximate and Memory-Sharing Backpropagation 24 Jun 2024 yyyyychen/LowMemoryBP/lomem/normalization.py 24f25e03d2510fc4 unverified MIT (permissive)
Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost 9 May 2024 ethanygao/aux-nas/networks/stagewise_search_aux.py ddb859dc4e680704 ran · our draft was wrong no licence file found · pointer only
Text-Guided Molecule Generation with Diffusion Language Model 20 Feb 2024 Deno-V/tgm-dlm/improved-diffusion/improved_diffusion/transformer_model.py 8347681d84656d7d ran · our draft was wrong no licence file found · pointer only
NfgTransformer: Equivariant Representation Learning for Normal-form Games 2024-02 (from id) google-deepmind/nfg_transformer/nfg_transformer/network.py 662a6c7691ca6ce4 unverified Apache-2.0 (permissive)
NfgTransformer: Equivariant Representation Learning for Normal-form Games 2024-02 (from id) google-deepmind/nfg_transformer/nfg_transformer/network.py 8cb271e59820a9a9 unverified Apache-2.0 (permissive)
Amortized Planning with Large-Scale Transformers: A Case Study on Chess 7 Feb 2024 google-deepmind/searchless_chess/src/transformer.py a145acc7af542d06 unverified Apache-2.0 (permissive)
Learning Universal Predictors 26 Jan 2024 google-deepmind/neural_networks_solomonoff_induction/models/transformer.py a145acc7af542d06 unverified Apache-2.0 (permissive)
Microscaling Data Formats for Deep Learning 16 Oct 2023 microsoft/microxcaling/mx/layernorm.py 494a1f0c452b05c6 unverified MIT (permissive)
Language Modeling Is Compression 19 Sep 2023 google-deepmind/language_modeling_is_compression/transformer.py a145acc7af542d06 unverified Apache-2.0 (permissive)
Memory-Based Meta-Learning on Non-Stationary Distributions 6 Feb 2023 deepmind/nonstationary_mbml/models/transformer.py 5d83309868b4e1a6 unverified Apache-2.0 (permissive)
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer 19 Jan 2023 wujunde/medsegdiff/guided_diffusion/nn.py 359793d02b65c82c unverified MIT (permissive)
Neural Networks and the Chomsky Hierarchy 5 Jul 2022 deepmind/neural_networks_chomsky_hierarchy/models/transformer.py 5d83309868b4e1a6 unverified Apache-2.0 (permissive)
Scheduled Multi-task Learning for Neural Chat Translation 8 May 2022 xl2248/sml/thumt-sml/thumt/layers/nn.py b299f075318205c0 unverified MIT (permissive)
Data Distributional Properties Drive Emergent In-Context Learning in Transformers 22 Apr 2022 deepmind/emergent_in_context_learning/modules/transformer_core.py 5d83309868b4e1a6 unverified Apache-2.0 (permissive)
Long Short-Term Transformer for Online Action Detection 7 Jul 2021 amazon-science/long-short-term-transformer/src/rekognition_online_action_detection/models/transformer/utils.py 38e465d98db284f6 unverified Apache-2.0 (permissive)
MERLOT: Multimodal Neural Script Knowledge Models 4 Jun 2021 rowanz/merlot/utils/model_utils.py 1fda499c82a8193a unverified MIT (permissive)
StructuralLM: Structural Pre-training for Form Understanding 24 May 2021 alibaba/AliceMind/StructuralLM/modeling.py 180084952859e5e0 unverified Apache-2.0 (permissive)
TubeR: Tubelet Transformer for Video Action Detection 2 Apr 2021 amazon-science/tubelet-transformer/models/transformer/transformer_layers.py 99c111ef29c683f2 unverified Apache-2.0 (permissive)
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting 13 Mar 2021 VeritasYin/STGCN_IJCAI-18/models/layers.py 90cae9bd0b8c88e0 unverified BSD-2-Clause (permissive)
Towards Robustifying NLI Models Against Lexical Dataset Biases 10 May 2020 owenzx/LexicalDebias-ACL2020/models/hex.py 11f9661c4bf99c8a unverified MIT (permissive)
Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation 24 Apr 2020 bzhangGo/zero/models/transformer_l0drop.py 9dcd5100e4896669 unverified BSD-3-Clause (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 fedeb6766bad1fad unverified no licence file found · pointer only
Deep Learning Recommendation Model for Personalization and Recommendation Systems 31 May 2019 alibaba/easyrec/easy_rec/python/compat/layers.py 2afd8b1d98ef1308 unverified Apache-2.0 (permissive)
Defending Against Neural Fake News 29 May 2019 rowanz/grover/lm/utils.py cc925f3f6a2fb18c unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
Improving the Transformer Translation Model with Document-Level Context 8 Oct 2018 Glaceon31/Document-Transformer/thumt/layers/nn.py b299f075318205c0 unverified BSD-3-Clause (permissive)
Accelerating Neural Transformer via an Average Attention Network 2 May 2018 bzhangXMU/transformer-aan/code/thumt/layers/nn.py 788092fa1ba69066 unverified BSD-3-Clause (permissive)
Attention Is All You Need 12 Jun 2017 appcoreopc/berty/modeling.py 5576e2a080c321cd ran · fixture could not drive it Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 SCismycat/bert_code_view/modeling.py 92e3786c47fc756c unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 ricardordb/bert/modeling.py dd5f4494a6bda7e9 unverified Apache-2.0 (permissive)
Attention Is All You Need 12 Jun 2017 Maple728/transformer/models/transformer.py 37fdd4b948df58c8 unverified MIT (permissive)
Layer Normalization 21 Jul 2016 kienduynguyen/Layer-Normalization/LayerNorm.py def0b163983628e2 ran no licence file found · pointer only
Layer Normalization 21 Jul 2016 JRC1995/Machine-Translation-Transformers/Machine Translation.py 0050dfbf8ad7677a unverified MIT (permissive)
Layer Normalization 21 Jul 2016 zhangyaoyuan/GAN-Simplification/tensor2tensor/common_layers.py caa1927febb58775 unverified no licence file found · pointer only
arXiv:aaai_28418 KidsWithTokens/MedSegDiff/guided_diffusion/nn.py 359793d02b65c82c unverified MIT (permissive)
arXiv:aaai_16580 modriczhang/HRL-Rec/layer_util.py d567287de8bb0575 unverified Apache-2.0 (permissive)
arXiv:2023.emnlp-main.534 PreferredAI/superposed-topics/gpt2/model.py c9d3430dfeeed766 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