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get_model_url

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

get_model_url appears in the code Syntology harvested for 11 papers, as 6 distinct code bodies found in 11 places (a place is one code body under one paper). At least one of them ran in 6 of the papers; 2 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_model_url 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 2 of the 6 distinct code bodies named get_model_url; 4 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
2ran
4unverified
2fingerprinted

Licence is a property of each copy, so it is counted per place: 1 of the 11 places is 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

11 papers shown of 11, newest first; 11 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. 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
MonoWAD: Weather-Adaptive Diffusion Model for Robust Monocular 3D Object Detection 23 Jul 2024 VisualAIKHU/MonoWAD/visualDet3D/networks/detectors/MonoWAD.py 3c9867a84d7c18d9 ran fingerprinted MIT (permissive)
How to Evaluate the Generalization of Detection? A Benchmark for Comprehensive Open-Vocabulary Detection 25 Aug 2023 om-ai-lab/OmDet/omdet/modeling/backbone/dlafpn.py 738b4871dc26c54f ran fingerprinted Apache-2.0 (permissive)
DID-M3D: Decoupling Instance Depth for Monocular 3D Object Detection 18 Jul 2022 spengliang/did-m3d/lib/backbones/dla.py 3c9867a84d7c18d9 ran fingerprinted MIT (permissive)
MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer 21 Mar 2022 kuanchihhuang/monodtr/visualDet3D/networks/backbones/dla.py 3c9867a84d7c18d9 ran fingerprinted MIT (permissive)
StrongSORT: Make DeepSORT Great Again 28 Feb 2022 goksenin-uav/strongsort-pip/strongsort/reid_model_factory.py 2745b5d88394ba76 unverified MIT (permissive)
Learning Auxiliary Monocular Contexts Helps Monocular 3D Object Detection 9 Dec 2021 Xianpeng919/MonoCon/monocon/mmdet3d/models/backbones/dla.py 3c9867a84d7c18d9 ran fingerprinted no licence file found · pointer only
Geometry Uncertainty Projection Network for Monocular 3D Object Detection 29 Jul 2021 supermhp/gupnet/code/lib/backbones/dla.py 3c9867a84d7c18d9 ran fingerprinted MIT (permissive)
Fully Convolutional Scene Graph Generation 30 Mar 2021 liuhengyue/fcsgg/fcsgg/modeling/backbone/dla.py 9d627c4b862db734 unverified MIT (permissive)
Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch 22 Oct 2019 goksenin-uav/torchreid-pip/torchreid/reid_model_factory.py 17d8f4f67ee8c79b unverified MIT (permissive)
Objects as Points 16 Apr 2019 dheerajpreddy/CenterNet-without-DCN/src/lib/models/networks/pose_dla_dcn.py 9d627c4b862db734 unverified MIT (permissive)
Joint Monocular 3D Vehicle Detection and Tracking 26 Nov 2018 ucbdrive/3d-vehicle-tracking/3d-tracking/model/dla.py c012f9f035e284d6 unverified 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".

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