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remove_spectral_norm

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

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

10 papers shown of 10, 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; 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
FairDiff: Fair Segmentation with Point-Image Diffusion 8 Jul 2024 wenyi-li/fairdiff/PointMaskGen/models/flow.py 234e4beebfddde13 unverified no licence file found · pointer only
BadHash: Invisible Backdoor Attacks against Deep Hashing with Clean Label 1 Jul 2022 cgcl-codes/badhash/model/spectral_norm.py b68aa157100e24b9 unverified MIT (permissive)
A Visual Navigation Perspective for Category-Level Object Pose Estimation 25 Mar 2022 wrld/visual_navigation_pose_estimation/models/networks/spectral_norm.py a9881435918e1dc4 unverified MIT (permissive)
Input Invex Neural Network 16 Jun 2021 tsumansapkota/Input-Invex-Neural-Network/nflib/utils/spectral_norm_fc.py 40af90ae6f78dcfb unverified Apache-2.0 (permissive)
Learning Joint Spatial-Temporal Transformations for Video Inpainting 20 Jul 2020 researchmm/STTN/core/spectral_norm.py 5db67c73b56c8cd0 unverified MIT (permissive)
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models 1 Mar 2020 xiaozhanguva/Intrinsic-Rob/generative/src/spectral_normalization.py 086ed50f42b2a3dd unverified MIT (permissive)
DoveNet: Deep Image Harmonization via Domain Verification 27 Nov 2019 bcmi/Image_Harmonization_Datasets/DoveNet/util/spectral_norm.py 27bb2b1a0e1e7af4 unverified MIT (permissive)
Graph Neural Ordinary Differential Equations 18 Nov 2019 caidao22/pnode/ffjord-pnode/lib/spectral_norm.py d69f23bce39cf751 unverified MIT (permissive)
Robust learning with implicit residual networks 24 May 2019 vreshniak/ImplicitResNet/implicitresnet/utils/spectral.py 75ceabf48573ad7d unverified MIT (permissive)
arXiv:aaai_25475 IndigoPurple/DEQSCI/networks/Spectral_Normalize_chen.py d9c45ca58173d84f 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