init_device
init_device appears in the code Syntology harvested for 20 papers, as 7 distinct code bodies found in 20 places (a place is one code body under one paper). At least one of them ran in 12 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 init_device 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 1 of the 7 distinct code bodies named init_device; 6 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:
Licence is a property of each copy, so it is counted per place: 9 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
20 papers shown of 20, 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, and the graph's for 3 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.
| Paper | Date | File | Status Syntology | Licence |
|---|---|---|---|---|
| TAME: Temporal-Aware Mixture-of-Experts for Text-Video Retrieval added by Syntology | 2026-09 (from id) | sejong-rcv/TAME/main_task_retrieval.py a0c23f10479a984e |
ran · fixture could not drive it | no licence file found · pointer only |
| Low Variance Trust Region Optimization with Independent Actors and Sequential Updates in Cooperative Multi-agent Reinforcement Learning added by Syntology | 2026-06 (from id) | giangbang/Low-Variance-Trust-Region-MARL/harl/utils/models_tools.py 26655a898162be82 |
unverified | no licence file found · pointer only |
| Empirical Study on Robustness and Resilience in Cooperative Multi-Agent Reinforcement Learning added by Syntology | 2025-10 (from id) | BUAA-TrustworthyMARL/adv_marl_benchmark/amb/utils/model_utils.py 45f77fabdb24e54a |
unverified | no licence file found · pointer only |
| TC-MGC: Text-Conditioned Multi-Grained Contrastive Learning for Text-Video Retrieval | 7 Apr 2025 | identical code first harvested elsewhere a0c23f10479a984e |
ran · fixture could not drive it | licence of this copy not recorded |
| SustainDC: Benchmarking for Sustainable Data Center Control | 14 Aug 2024 | hewlettpackard/dc-rl/harl/utils/models_tools.py 26655a898162be82 |
unverified | MIT (permissive) |
| SEDS: Semantically Enhanced Dual-Stream Encoder for Sign Language Retrieval | 23 Jul 2024 | longtaojiang/seds/main_task_retrieval.py a0c23f10479a984e |
ran · fixture could not drive it | Apache-2.0 (permissive) |
| FlashST: A Simple and Universal Prompt-Tuning Framework for Traffic Prediction | 28 May 2024 | HKUDS/FlashST/lib/TrainInits.py d7187fc207b2d503 |
unverified | Apache-2.0 (permissive) |
| Prototype-based Aleatoric Uncertainty Quantification for Cross-modal Retrieval | 29 Sep 2023 | leolee99/PAU/main_pau.py a0c23f10479a984e |
ran · fixture could not drive it | MIT (permissive) |
| Unified Coarse-to-Fine Alignment for Video-Text Retrieval | 18 Sep 2023 | Ziyang412/UCoFiA/eval_t2v/main_ucofia.py a0c23f10479a984e |
ran · fixture could not drive it | MIT (permissive) |
| Multi-event Video-Text Retrieval | 22 Aug 2023 | gengyuanmax/MeVTR/main_task_retrieval_multi.py a0c23f10479a984e |
ran · fixture could not drive it | no licence file found · pointer only |
| Graph Neural Rough Differential Equations for Traffic Forecasting | 20 Mar 2023 | jeongwhanchoi/STG-NCDE/lib/TrainInits.py d7187fc207b2d503 |
unverified | MIT (permissive) |
| Sports Video Analysis on Large-Scale Data | 9 Aug 2022 | identical code first harvested elsewhere a0c23f10479a984e |
ran · fixture could not drive it | licence of this copy not recorded |
| X-CLIP: End-to-End Multi-grained Contrastive Learning for Video-Text Retrieval | 15 Jul 2022 | identical code first harvested elsewhere a0c23f10479a984e |
ran · fixture could not drive it | licence of this copy not recorded |
| ECLIPSE: Efficient Long-range Video Retrieval using Sight and Sound | 6 Apr 2022 | GenjiB/ECLIPSE/compute_cost.py a0c23f10479a984e |
ran · fixture could not drive it | MIT (permissive) |
| CLIP2Video: Mastering Video-Text Retrieval via Image CLIP | 21 Jun 2021 | CryhanFang/CLIP2Video/infer_retrieval.py e129344aedf3001d |
unverified | MIT (permissive) |
| CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval | 18 Apr 2021 | identical code first harvested elsewhere a0c23f10479a984e |
ran · fixture could not drive it | licence of this copy not recorded |
| Scaling Local Self-Attention for Parameter Efficient Visual Backbones | 23 Mar 2021 | kevin-ssy/ViP/utils/distributed_utils.py 5d8cf2436bdfc77b |
unverified | MIT (permissive) |
| UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation | 15 Feb 2020 | identical code first harvested elsewhere a0c23f10479a984e |
ran · fixture could not drive it | licence of this copy not recorded |
| arXiv:Xin_Music_Grounding_by_Short_Video_ICCV_2025_paper | xxayt/MGSV/test-MaDe.py 6220c52996e4fad4 |
unverified | MIT (permissive) | |
| arXiv:Diao_UniPT_Universal_Parallel_Tuning_for_Transfer_Learning_with_Efficient_Parameter_CVPR_2024_paper | Paranioar/UniPT/CLIP4Clip/main_task_retrieval.py a0c23f10479a984e |
ran · fixture could not drive it | Apache-2.0 (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