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prepare_model

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

prepare_model appears in the code Syntology harvested for 10 papers, as 10 distinct code bodies found in 10 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 prepare_model 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 10 distinct code bodies named prepare_model; 9 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
9unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 10 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

10 papers shown of 10, newest first; 10 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 1 papers added by Syntology; 1 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
Interacted Planes Reveal 3D Line Mapping added by Syntology 2026-02 (from id) calmke/LiPMAP/data_process/line_detection.py b4b824594f39a397 unverified no licence file found · pointer only
LongVALE: Vision-Audio-Language-Event Benchmark Towards Time-Aware Omni-Modal Perception of Long Videos 29 Nov 2024 ttgeng233/LongVALE/preprocess/whisper_feature_extract.py 8dfa720c64e21d47 unverified MIT (permissive)
LLM Dataset Inference: Did you train on my dataset? 10 Jun 2024 pratyushmaini/llm_dataset_inference/utils.py 7fde34f5a8c6600c unverified MIT (permissive)
Toxicity Detection for Free 29 May 2024 whothu/detection_logits/utils.py e50fcd10b41ba405 unverified no licence file found · pointer only
Democratizing Reasoning Ability: Tailored Learning from Large Language Model 20 Oct 2023 Raibows/Learn-to-Reason/utils.py f8d30c749c7c5042 ran no licence file found · pointer only
What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement 20 Mar 2023 nmd95/data_suitable_lc_nn_code/models/utils.py 7109b50374757d1d unverified MIT (permissive)
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes 29 Mar 2022 dongkwonjin/Eigenlanes/Modeling/culane/code/libs/prepare.py 84d45bc45745d667 unverified Apache-2.0 (permissive)
Interactive Video Object Segmentation Using Global and Local Transfer Modules 16 Jul 2020 dongkwonjin/Semantic-Line-SLNet/Modelling/code/libs/prepare.py 2cdc3d3a4b27f434 unverified MIT (permissive)
UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation 19 Apr 2020 hamidriasat/UNet-3-Plus/models/model.py 0862fd72cdccf945 unverified MIT (permissive)
arXiv:Zhang_Imagine_Before_Go_Self-Supervised_Generative_Map_for_Object_Goal_Navigation_CVPR_2024_paper sx-zhang/SGM/semexp/eval_sgm.py 2ec3d9574bef4b27 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