Home › Code › norm2d

norm2d

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

norm2d appears in the code Syntology harvested for 9 papers, as 4 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 norm2d 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 4 distinct code bodies named norm2d; 2 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
0ran · fixture could not drive it
0ran
2unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 4 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; 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
arXiv:2507.06482 2025-07 (from id) hwang52/FedDifRC/model/resnet_base.py d4682009629cffa4 ran · our draft was wrong Apache-2.0 (permissive)
FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning 18 Sep 2024 18sym/FedLF/algorithm/fedlf.py d4682009629cffa4 ran · our draft was wrong no licence file found · pointer only
Federated Learning with Extremely Noisy Clients via Negative Distillation 20 Dec 2023 linchen99/fedned/models/model_feature.py d4682009629cffa4 ran · our draft was wrong no licence file found · pointer only
Federated Model Aggregation via Self-Supervised Priors for Highly Imbalanced Medical Image Classification 27 Jul 2023 xmed-lab/fed-mas/models/resnet8.py d4682009629cffa4 ran · our draft was wrong no licence file found · pointer only
On the effectiveness of partial variance reduction in federated learning with heterogeneous data 5 Dec 2022 lyn1874/fedssyn/fed_model/resnet.py d4682009629cffa4 ran · our draft was wrong MIT (permissive)
Flow: Per-Instance Personalized Federated Learning Through Dynamic Routing 28 Nov 2022 astuary/flow/models/cifar100_resnet_dynamic_v6.py 8f0eb9488f0856c6 ran · our draft was wrong no licence file found · pointer only
FedBR: Improving Federated Learning on Heterogeneous Data via Local Learning Bias Reduction 26 May 2022 lins-lab/fedbr/fedbr/Resnet.py d4682009629cffa4 ran · our draft was wrong Apache-2.0 (permissive)
Aggregated Residual Transformations for Deep Neural Networks 16 Nov 2016 facebookresearch/pycls/pycls/models/anynet.py bdbb1c3fd6c85433 unverified MIT (permissive)
Deep Residual Learning for Image Recognition 10 Dec 2015 facebookresearch/pycls/pycls/models/resnet.py 0d49bc7a2f074b61 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