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downsample_avg

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

downsample_avg appears in the code Syntology harvested for 9 papers, as 8 distinct code bodies found in 10 places (a place is one code body under one paper). At least one of them ran in 2 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 downsample_avg 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 8 distinct code bodies named downsample_avg; 5 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
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 10 places is 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; 10 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
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning 6 Oct 2023 ucsc-vlaa/fedconv/models/fedconv.py 6ada0865c90c900f ran MIT (permissive)
FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning 6 Oct 2023 ucsc-vlaa/fedconv/models/resnet.py 88a1713383891daf ran MIT (permissive)
FastInst: A Simple Query-Based Model for Real-Time Instance Segmentation 15 Mar 2023 junjiehe96/fastinst/fastinst/modeling/backbone/resnet.py bf7559951d6574a4 unverified MIT (permissive)
Maximally Compact and Separated Features with Regular Polytope Networks 15 Jan 2023 matteo-bruni/regular-polytope-networks/models/imagenet/timm_fixed_resnet.py c90c5e32d64867c9 unverified MIT (permissive)
Multi-Granularity Distillation Scheme Towards Lightweight Semi-Supervised Semantic Segmentation 22 Aug 2022 JayQine/MGD-SSSS/exp.city/city8.resnet18_deeplabv3plus/wide_resnet.py c90c5e32d64867c9 unverified MIT (permissive)
Can CNNs Be More Robust Than Transformers? 7 Jun 2022 ucsc-vlaa/robustcnn/timm/models/robust_resnet.py 9f91aef11975b7e7 unverified MIT (permissive)
SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation 26 May 2022 wangzy22/SemAffiNet/models/resnet_d.py 6a8bcd1ebef3b13f unverified MIT (permissive)
Sparse Instance Activation for Real-Time Instance Segmentation 24 Mar 2022 hustvl/sparseinst/sparseinst/backbones/resnet.py bf7559951d6574a4 unverified MIT (permissive)
Non-deep Networks 14 Oct 2021 imankgoyal/NonDeepNetworks/imagenet/timm/models/resnet.py d0be08be473e0f71 unverified BSD-3-Clause (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 xslidi/EfficientNets_ddl_apex/models/resnet.py 3215c2eb683ebaa1 ran · our draft was wrong no licence file found · pointer only

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