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BaseNetwork

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

BaseNetwork appears in the code Syntology harvested for 19 papers, as 19 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 13 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 BaseNetwork 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 13 of the 19 distinct code bodies named BaseNetwork; 6 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
13ran
6unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 13 of the 19 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

19 papers shown of 19, newest first; 19 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, and the graph's for 1 papers added by Syntology. 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
Controlling for Omitted Variable Bias in Deep Neural Networks added by Syntology 2026-08 (from id) mpff/cocodeel/src/cocodeel/refit_model.py df3a6f1a9a892d2e unverified MIT (permissive)
HumanVLA: Towards Vision-Language Directed Object Rearrangement by Physical Humanoid 2024-06 (from id) AllenXuuu/HumanVLA/models/dagger/vla_network.py 661a3b9f4cdce825 ran MIT (permissive)
SGAligner : 3D Scene Alignment with Scene Graphs 28 Apr 2023 sayands/sgaligner/src/aligner/sg_aligner.py a7f3284931ce23a3 unverified MIT (permissive)
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning 26 Apr 2023 justin941208/mapconnet/models/networks/correspondence.py 903a1c9c2003c504 ran · metamorphic tier: deterministic GPL-3.0 (copyleft) · pointer only
CoordFill: Efficient High-Resolution Image Inpainting via Parameterized Coordinate Querying 15 Mar 2023 NiFangBaAGe/CoordFill/models/coordfill.py 443a27e88886f962 ran · metamorphic tier: deterministic BSD-3-Clause (permissive)
Towards Hard-pose Virtual Try-on via 3D-aware Global Correspondence Learning 25 Nov 2022 huangzy225/3d-gcl/models/networks/correspondence.py b228efdf250a2bf2 ran no licence file found · pointer only
RMGN: A Regional Mask Guided Network for Parser-free Virtual Try-on 24 Apr 2022 jokerlc/RMGN-VITON/models/rmgn_generator.py 291954ea41e3a4c8 ran no licence file found · pointer only
Unsupervised Image-to-Image Translation with Generative Prior 7 Apr 2022 williamyang1991/gp-unit/model/generator.py d5c50f47d42cfacb ran · metamorphic tier: deterministic licence not identified · pointer only
MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting 12 Mar 2022 tsingqguo/misf/src/misf.py ff4df02a0571a8be unverified no licence file found · pointer only
Unsupervised Foreground Extraction via Deep Region Competition 29 Oct 2021 yupeiyu98/deep-region-competition/drc_workspace/src/models.py dafbfccb1de5171c ran no licence file found · pointer only
FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting 7 Sep 2021 ruiliu-ai/FuseFormer/model/fuseformer.py 6a1c3869290d0d57 ran · metamorphic tier: deterministic no licence file found · pointer only
Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation 22 Apr 2021 Hangz-nju-cuhk/Talking-Face_PC-AVS/models/networks/generator.py 462c99b47871103b ran CC-BY-4.0 · pointer only
VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization 31 Mar 2021 shadow2496/VITON-HD/networks.py 322c0a70afb48882 ran · metamorphic tier: deterministic licence not identified · pointer only
Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow 30 Mar 2021 uof1745-cmd/PCN/FISH-Net/model/pennet4.py b69fa2fce10d1558 ran no licence file found · pointer only
Diverse Semantic Image Synthesis via Probability Distribution Modeling 11 Mar 2021 tzt101/INADE/models/networks/generator.py 2966577cedfdf267 ran licence not identified · pointer only
PISE: Person Image Synthesis and Editing with Decoupled GAN 6 Mar 2021 Zhangjinso/PISE/model/networks/generator.py 0c57d95f5aafb2f1 ran no licence file found · pointer only
Munchausen Reinforcement Learning 28 Jul 2020 lingweizhu/Pytorch-MunchausenActorCritic/Munchausen_actorcritic_discrete/agent/munchausen_ac.py c8be42d3d03f50ae unverified MIT (permissive)
Swapping Autoencoder for Deep Image Manipulation 1 Jul 2020 taesungp/swapping-autoencoder-pytorch/models/swapping_autoencoder_model.py bbe76417451f3d85 unverified licence not identified · pointer only
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 ku2482/discor.pytorch/discor/algorithm/sac.py d6d4b5a5d84ba8ad 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