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create

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

create appears in the code Syntology harvested for 17 papers, as 17 distinct code bodies found in 19 places (a place is one code body under one paper). At least one of them ran in 1 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 create 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 17 distinct code bodies named create; 16 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
16unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 19 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

17 papers shown of 17, newest first; 19 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
EVOLVEMEM: Self-Evolving Memory Architecture via AutoResearch for LLM Agents added by Syntology 2026-05 (from id) aiming-lab/SimpleMem/simplemem_router.py 195aac435fbd2487 unverified MIT (permissive)
Online Generalised Predictive Coding added by Syntology 2026-05 (from id) MLDawn/ODEM/functions/create_multivariate_gaussian.py e02588d85e3fd46b ran AGPL-3.0 (copyleft) · pointer only
D-FINE: Redefine Regression Task in DETRs as Fine-grained Distribution Refinement 17 Oct 2024 Peterande/D-FINE/src/core/workspace.py eb5e01d60557539c unverified Apache-2.0 (permissive)
Off to new Shores: A Dataset & Benchmark for (near-)coastal Flood Inundation Forecasting 27 Sep 2024 multihuntr/gff/gff/models/creation.py a7912da165baa8d8 unverified CC0-1.0 (permissive)
OVA-DETR: Open Vocabulary Aerial Object Detection Using Image-Text Alignment and Fusion 22 Aug 2024 GT-Wei/RT-OVAD/src/core/yaml_utils.py da548fcd02ec18bd unverified Apache-2.0 (permissive)
L-AutoDA: Leveraging Large Language Models for Automated Decision-based Adversarial Attacks 27 Jan 2024 FeiLiu36/LLM4MOEA/MOEAD-LLM/pymoo/algorithms/hyperparameters.py a7040e3e99b92e1b unverified MIT (permissive)
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models 12 Oct 2023 kaistAI/Prometheus/evaluation/benchmark/run_absolute_scoring.py 5743b6ea08e5b7b3 unverified MIT (permissive)
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models 12 Oct 2023 kaistAI/Prometheus/evaluation/benchmark/run_relative_scoring.py b953d7f234bcb588 unverified MIT (permissive)
Qwen Technical Report 28 Sep 2023 QwenLM/Qwen-7B/dcu-support/package/fastllm_pytools/hf_model.py a5028c61c94869d8 unverified Apache-2.0 (permissive)
Bayesian Optimization with High-Dimensional Outputs 24 Jun 2021 msu-coinlab/pymoo/pymoo/algorithms/hyperparameters.py a7040e3e99b92e1b unverified Apache-2.0 (permissive)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification 30 May 2021 ShengcaiLiao/QAConv/reid/models/resmap.py 6a5b9f52cf3678a2 unverified MIT (permissive)
TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification 30 May 2021 ShengcaiLiao/QAConv/projects/transmatcher/restranmap.py 10c6466fe43af640 unverified MIT (permissive)
Surpassing Real-World Source Training Data: Random 3D Characters for Generalizable Person Re-Identification 23 Jun 2020 VideoObjectSearch/RandPerson/trainCode/Source/ablation/resgap.py 0017f2853f599c52 unverified Apache-2.0 (permissive)
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources 26 Apr 2019 awslabs/dynamic-training-with-apache-mxnet-on-aws/python/mxnet/kvstore.py 9ff2673d6a779a1a unverified Apache-2.0 recorded; this copy not marked cleared · pointer only
GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models 24 Feb 2018 snap-stanford/GraphRNN/create_graphs.py 72a0035803c73117 unverified MIT (permissive)
Colorization as a Proxy Task for Visual Understanding 11 Mar 2017 gustavla/self-supervision/selfsup/info.py 8359957dc18b9b75 unverified BSD-3-Clause (permissive)
Network In Network 16 Dec 2013 PowerOfDream/digitx/digitx_model.py ef29cbad4c412a95 unverified MIT (permissive)
arXiv:openreview_8jViL8YrB1 CyberAgentAILab/cenreg/src/cenreg/model/copula_np.py 5d67dc83b8b95a51 unverified Apache-2.0 (permissive)
arXiv:Wang_Object_Detection_using_Event_Camera_A_MoE_Heat_Conduction_based_CVPR_2025_paper Event-AHU/OpenEvDET/CvHeat-DET/src/core/yaml_utils.py da548fcd02ec18bd 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".

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