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conv5x5

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

conv5x5 appears in the code Syntology harvested for 9 papers, as 5 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 7 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 conv5x5 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 3 of the 5 distinct code bodies named conv5x5; 2 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
2ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 9 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; 9 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. 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
Domain-adaptive Video Deblurring via Test-time Blurring 12 Jul 2024 jin-ting-he/dadeblur/DeblurringModel/ESTRNN/arches.py 05b9fb4be8292106 ran · our draft was wrong no licence file found · pointer only
BEACON: Benchmark for Comprehensive RNA Tasks and Language Models 14 Jun 2024 terry-r123/RNABenchmark/downstream/structure/resnet.py c74f81523af71e2a ran Apache-2.0 (permissive)
MoCha-Stereo: Motif Channel Attention Network for Stereo Matching 10 Apr 2024 zyangchen/mocha-stereo/MoCha-Stereo/nets/feature.py af5d1e93b7cc0884 ran MIT (permissive)
Efficient Video Deblurring Guided by Motion Magnitude 27 Jul 2022 sollynoay/MMP-RNN/MMP-RNN/model/MMPRNN.py 05b9fb4be8292106 ran · our draft was wrong MIT (permissive)
Deep Recurrent Neural Network with Multi-scale Bi-directional Propagation for Video Deblurring 9 Dec 2021 xjtu-cvlab-lowlevel/rnn-mbp/model/arches.py 05b9fb4be8292106 ran · our draft was wrong no licence file found · pointer only
Real-world Video Deblurring: A Benchmark Dataset and An Efficient Recurrent Neural Network 30 Jun 2021 zzh-tech/ESTRNN/model/arches.py 05b9fb4be8292106 ran · our draft was wrong MIT (permissive)
Scalable Perception-Action-Communication Loops with Convolutional and Graph Neural Networks 24 Jun 2021 VITA-Group/VGAI/joint_network.py 495f0015aace0c41 unverified MIT (permissive)
Layer Folding: Neural Network Depth Reduction using Activation Linearization 17 Jun 2021 LayerFolding/Layer-Folding/VGG_Cifar10_postfold.py 09dcc50c884b217d unverified BSD-3-Clause (permissive)
AANet: Adaptive Aggregation Network for Efficient Stereo Matching 20 Apr 2020 haofeixu/aanet/nets/feature.py af5d1e93b7cc0884 ran 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