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move_to_cuda

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

move_to_cuda appears in the code Syntology harvested for 22 papers, as 16 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 18 of the papers; 1 of the code bodies carries 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 move_to_cuda 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 12 of the 16 distinct code bodies named move_to_cuda; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
1ran · fixture could not drive it
10ran
4unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 22 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

22 papers shown of 22, newest first; 22 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 2 papers added by Syntology; 2 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
Your UnEmbedding Matrix is Secretly a Feature Lens for Text Embeddings added by Syntology 2026-06 (from id) CentreChen/EmbFilter/utils/utils.py 4e0d14c07c0802cb ran MIT (permissive)
WebFAQ 2.0: A Multilingual QA Dataset with Mined Hard Negatives for Dense Retrieval added by Syntology 2026-02 (from id) padas-lab-de/webfaq/src/webfaq/globals.py 61170c32d770c986 unverified MIT (permissive)
TokenBinder: Text-Video Retrieval with One-to-Many Alignment Paradigm 30 Sep 2024 bingqingzhang/TokenBinder/src/datasets/dataloader.py b68769dd52ad6c44 ran MIT (permissive)
PTD-SQL: Partitioning and Targeted Drilling with LLMs in Text-to-SQL 21 Sep 2024 lrlbbzl/PTD-SQL/utils.py 67400d2c5936d2a6 ran no licence file found · pointer only
Image Over Text: Transforming Formula Recognition Evaluation with Character Detection Matching 5 Sep 2024 opendatalab/unimernet/unimernet/datasets/data_utils.py f0d0d2447408bb09 ran Apache-2.0 (permissive)
Diffusion Bridge AutoEncoders for Unsupervised Representation Learning 27 May 2024 ckczzj/PDAE/trainer/train_representation_learning.py 5999a3c31acadfe9 ran · fixture could not drive it no licence file found · pointer only
Improving Multi-lingual Alignment Through Soft Contrastive Learning 25 May 2024 yai12xlinq-b/imascl/evaluate/run_mteb.py ec34b8cf0146fcf2 ran no licence file found · pointer only
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs 16 Apr 2024 taehokim20/llmem/dp_real.py 87770cda7e05b48c ran MIT (permissive)
Unsupervised Multilingual Dense Retrieval via Generative Pseudo Labeling 6 Mar 2024 MiuLab/UMR/dpr/utils/model_utils.py f754a83bdbe3d5ed ran no licence file found · pointer only
GraphTranslator: Aligning Graph Model to Large Language Model for Open-ended Tasks 11 Feb 2024 alibaba/graphtranslator/Translator/datasets/data_utils.py f0d0d2447408bb09 ran BSD-3-Clause (permissive)
Towards Learning a Generalist Model for Embodied Navigation 4 Dec 2023 lavi-lab/navillm/tasks/loaders.py a581dc0bf92d2ee5 ran MIT (permissive)
Knowledge Graph Prompting for Multi-Document Question Answering 22 Aug 2023 yuwvandy/kg-llm-mdqa/DPR/utils.py 0be1ea343ffa7c85 ran no licence file found · pointer only
End-to-End Beam Retrieval for Multi-Hop Question Answering 17 Aug 2023 canghongjian/beam_retriever/utils/utils.py a4978f078a7eb7ec ran Apache-2.0 (permissive)
Text-Visual Prompting for Efficient 2D Temporal Video Grounding 9 Mar 2023 intel/TVP/src/datasets/dataloader.py b68769dd52ad6c44 ran Apache-2.0 (permissive)
LAVENDER: Unifying Video-Language Understanding as Masked Language Modeling 14 Jun 2022 microsoft/lavender/dataset.py f0fcbf57ccf422a5 unverified MIT (permissive)
Revealing Single Frame Bias for Video-and-Language Learning 7 Jun 2022 jayleicn/ClipBERT/src/datasets/dataloader.py b68769dd52ad6c44 ran MIT (permissive)
Table Retrieval May Not Necessitate Table-specific Model Design 19 May 2022 zorazrw/nqt-retrieval/dpr/utils/model_utils.py f754a83bdbe3d5ed ran MIT (permissive)
Accuracy Prediction with Non-neural Model for Neural Architecture Search 9 Jul 2020 renqianluo/GBDT-NAS/imagenet/utils.py a3f52c5753448b8d unverified MIT (permissive)
Semi-Supervised Neural Architecture Search 24 Feb 2020 mlvc-lab/Classification-NAS/SemiNAS/nasbench/train_seminas.py 83b572d45378f8a3 ran · honoured contract fingerprinted MIT (permissive)
Improving Lexical Choice in Neural Machine Translation 3 Oct 2017 prachetaphadnis/NMT_Seq2Seq_LexicalModel/seq2seq/utils.py 00b1604d04daae7a unverified MIT (permissive)
arXiv:Zheng_Towards_Learning_a_Generalist_Model_for_Embodied_Navigation_CVPR_2024_paper LaVi-Lab/NaviLLM/tasks/loaders.py a581dc0bf92d2ee5 ran MIT (permissive)
arXiv:Li_Align_and_Prompt_Video-and-Language_Pre-Training_With_Entity_Prompts_CVPR_2022_paper salesforce/ALPRO/src/datasets/dataloader.py b68769dd52ad6c44 ran BSD-3-Clause (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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