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fast_collate

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

fast_collate appears in the code Syntology harvested for 11 papers, as 9 distinct code bodies found in 11 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 fast_collate 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 9 distinct code bodies named fast_collate; 7 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
1ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 11 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

11 papers shown of 11, newest first; 11 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; 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
DreamDA: Generative Data Augmentation with Diffusion Models 19 Mar 2024 yunxiangfu2001/dreamda/dataset/loader.py 8eee4204b6767c33 ran no licence file found · pointer only
Spiking Wavelet Transformer 17 Mar 2024 bic-l/spiking-wavelet-transformer/cifar10-100/loader.py 8eee4204b6767c33 ran no licence file found · pointer only
EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba 15 Mar 2024 terrypei/efficientvmamba/classification/lib/dataset/dataloader.py c36d9dd9066c2144 unverified no licence file found · pointer only
Spikformer V2: Join the High Accuracy Club on ImageNet with an SNN Ticket 4 Jan 2024 zk-zhou/spikformer/cifar10/loader.py 8eee4204b6767c33 ran MIT (permissive)
MixtureGrowth: Growing Neural Networks by Recombining Learned Parameters 7 Nov 2023 chaudatascience/mixturegrowth/utils.py f2c9e4b934914566 unverified no licence file found · pointer only
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training 21 Jun 2023 alooow/fantastic_weights_paper/imagenet_main.py 717c76ec787ddfe7 unverified MIT (permissive)
On Feature Normalization and Data Augmentation 25 Feb 2020 Boyiliee/MoEx/ImageNet/main_moex.py 1795ac057ca3e793 unverified BSD-3-Clause (permissive)
Gated Convolutional Networks with Hybrid Connectivity for Image Classification 26 Aug 2019 winycg/HCGNet/main_imagenet.py eebcaba9a7bebae9 unverified no licence file found · pointer only
Scaleable input gradient regularization for adversarial robustness 27 May 2019 cfinlay/tulip/imagenet/dataloader.py 008a18d16322d064 unverified MIT (permissive)
Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution 10 Apr 2019 lxtGH/OctaveConv_pytorch/main_imagenet.py 0ae841d977200ffa ran · our draft was wrong MIT (permissive)
arXiv:Wang_RDI-Net_Relational_Dynamic_Inference_Networks_ICCV_2021_paper huanyuhello/RDI-Net/train_gcn.py 12a3162a6dee29e5 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