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GatherLayer

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

GatherLayer appears in the code Syntology harvested for 12 papers, as 12 distinct code bodies found in 12 places (a place is one code body under one paper). At least one of them ran in 11 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 GatherLayer 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 11 of the 12 distinct code bodies named GatherLayer; 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
11ran
1unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 12 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; 12 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. 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
InfMasking: Unleashing Synergistic Information by Contrastive Multimodal Interactions added by Syntology 2025-09 (from id) brightest66/InfMasking/pl_modules/infmasking.py 0a1ecc8a2a015d4a ran no licence file found · pointer only
On Discriminative Probabilistic Modeling for Self-Supervised Representation Learning 11 Oct 2024 bokun-wang/NUCLR/models/losses.py 8d9aff60f7e3dc74 ran no licence file found · pointer only
Composing Object Relations and Attributes for Image-Text Matching 17 Jun 2024 vkhoi/cora_cvpr24/models/cora_model.py 9acd7ed5fa371c90 ran no licence file found · pointer only
Siamese Vision Transformers are Scalable Audio-visual Learners 28 Mar 2024 GenjiB/AVSiam/src/models/cav_mae_base.py 06f4ef2afc928c74 ran no licence file found · pointer only
Non-negative Contrastive Learning 19 Mar 2024 pku-ml/non_neg/solo/losses/nnclr.py 0010b56b025e9667 unverified no licence file found · pointer only
VAST: A Vision-Audio-Subtitle-Text Omni-Modality Foundation Model and Dataset 29 May 2023 txh-mercury/vast/model/vast.py a839c0c942f1b694 ran MIT (permissive)
VICRegL: Self-Supervised Learning of Local Visual Features 4 Oct 2022 lightly-ai/lightly/lightly/loss/vicregl_loss.py ba565bd2bd01c209 ran MIT (permissive)
VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning 11 May 2021 lightly-ai/lightly/lightly/loss/vicreg_loss.py 4073146360f534c5 ran MIT (permissive)
Training GANs with Stronger Augmentations via Contrastive Discriminator 17 Mar 2021 jh-jeong/ContraD/training/gan/contrad.py 3d84a3c6c7534c7d ran MIT (permissive)
Entity Linking in 100 Languages 5 Nov 2020 hazyresearch/tabi/tabi/models/biencoder.py d4f502dc0e8d10f0 ran Apache-2.0 (permissive)
ContraGAN: Contrastive Learning for Conditional Image Generation 23 Jun 2020 postech-cvlab/pytorch-studiogan/src/utils/losses.py 42c067567d6582bc ran licence not identified · pointer only
Prototypical Networks for Few-shot Learning 15 Mar 2017 DrMMZ/ProtoNet/model/ProtoNet.py 3144f593c6905e78 ran · metamorphic tier: deterministic 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