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singleton

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

singleton appears in the code Syntology harvested for 23 papers, as 12 distinct code bodies found in 23 places (a place is one code body under one paper). At least one of them ran in 15 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 singleton 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 5 of the 12 distinct code bodies named singleton; 7 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
3ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 23 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

23 papers shown of 23, newest first; 23 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
Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy 22 Oct 2024 aidotse/leakpro/leakpro/attacks/utils/distillation_model_handler.py 34ef863b49266b87 unverified licence not identified · pointer only
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models 27 Jun 2024 howiehwong/unigen/unigen/utils/LLM_model.py 673da1d74b51ce33 ran no licence file found · pointer only
Few-Shot Detection of Machine-Generated Text using Style Representations 12 Jan 2024 llnl/luar/fewshot_iclr2024/file_utils.py a65281ae25eff699 ran Apache-2.0 (permissive)
Scene-aware Human Motion Forecasting via Mutual Distance Prediction 1 Oct 2023 xccyue/MutualDistance/GTAIM/finalmodel/utils/utilities.py 8e2e46ed402dd921 ran no licence file found · pointer only
Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis 1 Jun 2023 IAHispano/Applio/rvc/configs/config.py 673da1d74b51ce33 ran MIT (permissive)
Any-to-Any Generation via Composable Diffusion 19 May 2023 microsoft/i-Code/i-Code-V3/core/cfg_holder.py a57e939b71fd9a3d ran · our draft was wrong MIT (permissive)
Wearable-based Human Activity Recognition with Spatio-Temporal Spiking Neural Networks 14 Nov 2022 intelligent-computing-lab-yale/snn_har/models/backbones.py c6bc247ffa36099c ran · our draft was wrong MIT (permissive)
BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping 24 Jun 2022 GasserElbanna/serab-byols/byol_a/byol_pytorch.py d667df1dc044d767 unverified MIT (permissive)
Learning Debiased Classifier with Biased Committee 22 Jun 2022 nayeong-v-kim/lwbc/SSL/byol/builder.py c6bc247ffa36099c ran · our draft was wrong MIT (permissive)
Visual Acoustic Matching 14 Feb 2022 see2sound/see2sound/see2sound/codi/models/latent_diffusion/diffusion_unet.py a57e939b71fd9a3d ran · our draft was wrong Apache-2.0 (permissive)
What Makes Good Contrastive Learning on Small-Scale Wearable-based Tasks? 12 Feb 2022 identical code first harvested elsewhere c6bc247ffa36099c ran · our draft was wrong licence of this copy not recorded
Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty 1 Feb 2022 sungnyun/cd-fsl/methods/byol.py c6bc247ffa36099c ran · our draft was wrong MIT (permissive)
Adversarial Attacks on Gaussian Process Bandits 16 Oct 2021 eric-vader/attack-bo/attack_bo/config.py d56231e6344169be unverified MIT (permissive)
SERAB: A multi-lingual benchmark for speech emotion recognition 7 Oct 2021 neclow/serab/SERAB/byol_a/byol_pytorch.py c6bc247ffa36099c ran · our draft was wrong MIT (permissive)
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning 2 Sep 2021 SamuelGong/FLASHE/fate_flow/db/db_models.py fa2b1886f42e6e5c unverified Apache-2.0 (permissive)
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation 11 Mar 2021 identical code first harvested elsewhere c6bc247ffa36099c ran · our draft was wrong licence of this copy not recorded
BYOL works even without batch statistics 20 Oct 2020 juneweng/byol-pytorch/byol_pytorch/byol_pytorch.py c6bc247ffa36099c ran · our draft was wrong MIT (permissive)
DARTS-: Robustly Stepping out of Performance Collapse Without Indicators 2 Sep 2020 Meituan-AutoML/DARTS-/src/utils.py de6f3cc2917b53d0 unverified Apache-2.0 (permissive)
Bootstrap your own latent: A new approach to self-supervised Learning 13 Jun 2020 identical code first harvested elsewhere c6bc247ffa36099c ran · our draft was wrong licence of this copy not recorded
Pix2Pose: Pixel-Wise Coordinate Regression of Objects for 6D Pose Estimation 20 Aug 2019 hz-ants/Pix2Pose/rendering/renderer.py 7688c81b21c2784f unverified MIT (permissive)
Deep Model-Based 6D Pose Refinement in RGB 7 Oct 2018 fabi92/eccv18-rgb_pose_refinement/rendering/renderer.py 7688c81b21c2784f unverified MIT (permissive)
Reducing Disparate Exposure in Ranking: A Learning To Rank Approach 2018-05 (from id) fair-search/fairsearch-deltr-for-elasticsearch/utils.py 20b09647f7a56e44 unverified Apache-2.0 (permissive)
arXiv:Xu_Versatile_Diffusion_Text_Images_and_Variations_All_in_One_Diffusion_ICCV_2023_paper SHI-Labs/Versatile-Diffusion/lib/cfg_holder.py a57e939b71fd9a3d ran · our draft was wrong 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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