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save_model

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

save_model appears in the code Syntology harvested for 19 papers, as 20 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 3 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 save_model 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 20 distinct code bodies named save_model; 17 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
17unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 20 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; 20 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
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning 2024-05 (from id) ybdai7/backdoor-indicator-defense/utils/utils.py 8939a7a2f5089a45 ran MIT (permissive)
Unsupervised Multimodal Clustering for Semantics Discovery in Multimodal Utterances 21 May 2024 thuiar/UMC/methods/unsupervised/UMC/manager.py 8157b7e8e74f2360 unverified no licence file found · pointer only
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach 28 Mar 2024 zstarn70/rlrr/train_fgvc.py 65f028207e1aa6ac ran no licence file found · pointer only
Towards Online Continuous Sign Language Recognition and Translation 10 Jan 2024 FangyunWei/SLRT/TwoStreamNetwork/training.py 71c76eb4ecffbe0f unverified no licence file found · pointer only
Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment 25 Dec 2023 rzhao-zhsq/cv-slt/training.py 8f23ff0ffdef91ca unverified no licence file found · pointer only
Subequivariant Graph Reinforcement Learning in 3D Environments 30 May 2023 alpc91/SGRL/src/checkpoint.py 5d34f615ca42f7e3 unverified MIT (permissive)
Membership Inference Attacks against Synthetic Data through Overfitting Detection 24 Feb 2023 vanderschaarlab/domias/src/domias/bnaf/density_estimation.py 98ed3d40f8a5dfa5 unverified MIT (permissive)
Towards Enhancing Time Series Contrastive Learning: A Dynamic Bad Pair Mining Approach 7 Feb 2023 lanxiang1017/dynamicbadpairmining_iclr24/models/dbpm_model.py c995c24f3dfc702c unverified no licence file found · pointer only
Unsupervised Non-transferable Text Classification 23 Oct 2022 chaoscodes/untl/UNTL.py c9a020a065579e8b unverified MIT (permissive)
PAC-Bayes Information Bottleneck 29 Sep 2021 ryanwangzf/pac-bayes-ib/src/pib_utils.py fd653d0c452a188d unverified no licence file found · pointer only
MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation 25 Mar 2021 microsoft/UDA/trainer/da/toalign.py e320fa657d11368b unverified MIT (permissive)
Reformulating Unsupervised Style Transfer as Paraphrase Generation 12 Oct 2020 martiansideofthemoon/style-transfer-paraphrase/style_paraphrase/run_lm_finetuning.py aae21f24cb4514be unverified MIT (permissive)
Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning 29 Sep 2020 TJU-DRL-LAB/self-supervised-rl/RL_with_Environment_Representation/PAnDR/pandr_utils.py a89da1a0ff56ede9 unverified Apache-2.0 (permissive)
Powering Hidden Markov Model by Neural Network based Generative Models 13 Oct 2019 FirstHandScientist/genhmm/src/genHMM.py 2471d824c1eb32d1 unverified MIT (permissive)
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks 18 Sep 2019 softsys4ai/neural-distiller/src/experiments/eskd_knowledge_distillation_train.py d016fd58a1a0d7e8 unverified MIT (permissive)
Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks 18 Sep 2019 softsys4ai/neural-distiller/src/experiments/eskd_teacher_train_and_collect_logits.py 1ff169b5b9d1cd91 unverified MIT (permissive)
Block Neural Autoregressive Flow 9 Apr 2019 nicola-decao/BNAF/density_estimation.py c7c2cd135ec55792 ran · our draft was wrong MIT (permissive)
SySeVR: A Framework for Using Deep Learning to Detect Software Vulnerabilities 18 Jul 2018 SySeVR/SySeVR/Implementation/model/keras/models.py 757b53c434bfd276 unverified Apache-2.0 (permissive)
Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor 4 Jan 2018 thomashirtz/soft-actor-critic/soft_actor_critic/agent.py 7d297778525c40d1 unverified MIT (permissive)
arXiv:2023.findings-emnlp.198 Este1le/slr_handshape/training.py ef54c6d024ccbc97 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".

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