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LayerScale

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

LayerScale appears in the code Syntology harvested for 15 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 14 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 LayerScale 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 15 of the 16 distinct code bodies named LayerScale; 1 is 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
15ran
1unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 4 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

15 papers shown of 15, 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. 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
Is Prompt Selection Necessary for Task-Free Online Continual Learning? added by Syntology 2026-04 (from id) efficient-learning-lab/SinglePrompt/models/singlePrompt.py 53f7f1cd1032ac80 ran · metamorphic tier: deterministic MIT (permissive)
Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model based on Multiview images added by Syntology 2025-11 (from id) AIDC-AI/Omni-View/modeling/bagel/bagel.py fc6e2b056af68059 ran Apache-2.0 (permissive)
ChA-MAEViT: Unifying Channel-Aware Masked Autoencoders and Multi-Channel Vision Transformers for Improved Cross-Channel Learning 25 Mar 2025 chaudatascience/cha_mae_vit/models/cha_mae_vit.py dadddc177deadf88 ran · metamorphic tier: deterministic MIT (permissive)
BHViT: Binarized Hybrid Vision Transformer 4 Mar 2025 IMRL/BHViT/transformer/BHViT.py 5a33cb0660a4f8f5 ran · metamorphic tier: deterministic MIT (permissive)
Slicing Vision Transformer for Flexible Inference 6 Dec 2024 BeSpontaneous/Scala-pytorch/models_scala.py 722ebc6a6b34ca4d unverified MIT (permissive)
Revisiting the Integration of Convolution and Attention for Vision Backbone 21 Nov 2024 rayleizhu/glmix/models/glnet.py 3f3123c5b41c1bda ran fingerprinted MIT (permissive)
Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation 2024-09 (from id) OpenDriveLab/CLOVER/FeedbackPolicy/models/policy.py 07517d004d8d3758 ran · metamorphic tier: deterministic Apache-2.0 (permissive)
SONICS: Synthetic Or Not -- Identifying Counterfeit Songs 26 Aug 2024 awsaf49/sonics/sonics/models/spectttra.py 6ca879b9cdcae41d ran licence not identified · pointer only
LookHere: Vision Transformers with Directed Attention Generalize and Extrapolate 22 May 2024 greencubic/lookhere/lookhere.py 90611bff664a489e ran · metamorphic tier: deterministic MIT (permissive)
Towards Multi-modal Transformers in Federated Learning 18 Apr 2024 imguangyu/FedCola/src/models/mome.py 701e39ed251d5829 ran Apache-2.0 (permissive)
Consistent Prompting for Rehearsal-Free Continual Learning 13 Mar 2024 Zhanxin-Gao/CPrompt/models/cprompt.py a77a876f784480d3 ran · metamorphic tier: deterministic no licence file found · pointer only
DINOv2: Learning Robust Visual Features without Supervision 14 Apr 2023 ByungKwanLee/Causal-Unsupervised-Segmentation/models/dinov2vit.py 1d18daa479e53b33 ran · metamorphic tier: deterministic no licence file found · pointer only
DINOv2: Learning Robust Visual Features without Supervision 14 Apr 2023 facebookresearch/highrescanopyheight/models/backbone.py d502f73859574661 ran Apache-2.0 (permissive)
Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenes 7 Mar 2023 AHKerrigan/GeoGuessNet/networks.py ec250b5a99a54dcc ran · metamorphic tier: deterministic no licence file found · pointer only
A ConvNet for the 2020s 10 Jan 2022 frgfm/Holocron/holocron/models/classification/convnext.py c237d46e09539ba8 ran fingerprinted Apache-2.0 (permissive)
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale 22 Oct 2020 OML-Team/open-metric-learning/oml/models/vit_dino/external_v2/vision_transformer.py ab8cf50d6a117f90 ran · metamorphic tier: deterministic 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