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get_time

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

get_time appears in the code Syntology harvested for 20 papers, as 17 distinct code bodies found in 22 places (a place is one code body under one paper). At least one of them ran in 14 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 get_time 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 9 of the 17 distinct code bodies named get_time; 8 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

1ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
7ran
8unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 9 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

20 papers shown of 20, 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 3 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
Heterogeneity-Adaptive Diffusion Schrödinger Bridge for PET-Guided Whole-Body MRI Translation added by Syntology 2026-07 (from id) xyw-medical-research/HADSB/logger.py cbb9d7563e2ebd55 ran no licence file found · pointer only
Contextualizing Biological Language Models across Modalities via Logit-Space Contrastive Alignment added by Syntology 2026-06 (from id) bowen-gao/DrugCLIP/HomoAug/utils/misc.py 885d339055ac8edc ran licence not identified · pointer only
Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach added by Syntology 2026-01 (from id) Traffic-Alpha/UAGMC/greedy.py 47cac6dda75c9ccc unverified Apache-2.0 (permissive)
Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach added by Syntology 2026-01 (from id) Traffic-Alpha/UAGMC/ground_policy.py c07a468bb4827102 unverified Apache-2.0 (permissive)
Heterogeneous Vertiport Selection Optimization for On-Demand Air Taxi Services: A Deep Reinforcement Learning Approach added by Syntology 2026-01 (from id) Traffic-Alpha/UAGMC/methods/minimum_distance.py 1caf58f728ced7fd unverified Apache-2.0 (permissive)
Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis 24 Apr 2025 compbiomed-unito/survhive/survhive/util.py 3002db785bb548c1 unverified MIT (permissive)
T-SCEND: Test-time Scalable MCTS-enhanced Diffusion Model 4 Feb 2025 ai4science-westlakeu/t_scend/tscend_src/utils/utils.py 35d5144a8f9cae87 ran MIT (permissive)
DiffPhyCon: A Generative Approach to Control Complex Physical Systems 9 Jul 2024 AI4Science-WestlakeU/diffphycon/utils.py 35d5144a8f9cae87 ran MIT (permissive)
CityBench: Evaluating the Capabilities of Large Language Models for Urban Tasks 20 Jun 2024 tsinghua-fib-lab/citybench/citybench/mobility_prediction/data_gen.py 5642b97cf4bef5f0 ran MIT (permissive)
LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging 18 Jun 2024 snu-mllab/LayerMerge/layer_merge/measure.py 53138d8dfe29a2a5 unverified MIT (permissive)
Diffusion Bridge Implicit Models 24 May 2024 thu-ml/DiffusionBridge/logger.py cbb9d7563e2ebd55 ran no licence file found · pointer only
Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection 16 May 2024 ferry-li/si-sod/src/utils/logger.py cbb9d7563e2ebd55 ran no licence file found · pointer only
Implicit Image-to-Image Schrodinger Bridge for Image Restoration 10 Mar 2024 wangya22/I3SB/logger.py cbb9d7563e2ebd55 ran no licence file found · pointer only
Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution 13 Feb 2024 AI4Science-WestlakeU/le-pde-uq/MP_Neural_PDE_Solvers/common/utils.py 0328298b19c25c7f ran MIT (permissive)
Compositional Generative Inverse Design 24 Jan 2024 AI4Science-WestlakeU/cindm/GNS_model/utils.py 35d5144a8f9cae87 ran MIT (permissive)
Efficient Image Deblurring Networks based on Diffusion Models 11 Jan 2024 bnm6900030/swintormer/print_loss.py dbdb5c1cd7f7e7b8 ran no licence file found · pointer only
VisionTasker: Mobile Task Automation Using Vision Based UI Understanding and LLM Task Planning 2023-12 (from id) akimotoayako/visiontasker/main_zh_bystep.py 46db112e176bc538 ran · our draft was wrong GPL-3.0 (copyleft) · pointer only
DataDAM: Efficient Dataset Distillation with Attention Matching 29 Sep 2023 datadistillation/datadam/main_DataDAM.py e98b4502952690a9 ran · metamorphic tier: deterministic no licence file found · pointer only
Unsupervised Entity Alignment for Temporal Knowledge Graphs 1 Feb 2023 zju-daily/dualmatch/utils2.py 44ea70c31791249e unverified Apache-2.0 (permissive)
Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers 22 Sep 2021 gsarti/it5/finetuning/vars.py 07d60309bc634d37 unverified Apache-2.0 (permissive)
On uncertainty estimation in active learning for image segmentation 13 Jul 2020 lyn1874/region_based_active_learning/eval_calibration/calc_calibration_score.py 1ea8d82f1e501df8 unverified MIT (permissive)
The Deep Learning Compiler: A Comprehensive Survey 6 Feb 2020 buaa-hipo/dlcompiler-comparison/utils/gather_data.py 903f8c14889802d9 ran · honoured contract no licence file found · pointer only

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