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crop_center

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

crop_center appears in the code Syntology harvested for 9 papers, as 8 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 5 of the papers; 1 of the code bodies carries 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 crop_center 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 4 of the 8 distinct code bodies named crop_center; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
2ran · fixture could not drive it
1ran
4unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 3 of the 9 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

9 papers shown of 9, newest first; 9 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
Bayesian Deconvolution of Astronomical Images with Diffusion Models: Quantifying Prior-Driven Features in Reconstructions 28 Nov 2024 astrodeepnet/diffusion4astro/image_sample_inv.py c1aba3fdc02521f3 unverified MIT (permissive)
FuRL: Visual-Language Models as Fuzzy Rewards for Reinforcement Learning 2 Jun 2024 fuyw/FuRL/experiments/train_furl.py c08628fe9b6245db ran · fixture could not drive it no licence file found · pointer only
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation 11 Mar 2024 gavinwxy/ddfp/dataset/transform.py 6eb28f8d24da4c1d ran Apache-2.0 (permissive)
FairSeg: A Large-Scale Medical Image Segmentation Dataset for Fairness Learning Using Segment Anything Model with Fair Error-Bound Scaling 3 Nov 2023 harvard-ophthalmology-ai-lab/fairseg/TransUNet/datasets/dataset_fairseg.py fd18c8c90c72a792 ran · our draft was wrong fingerprinted no licence file found · pointer only
Physics-based Noise Modeling for Extreme Low-light Photography 4 Aug 2021 Vandermode/NoiseModel/dataset/sid_dataset.py 103b27cc220783e8 unverified MIT (permissive)
Stochastic Segmentation Networks: Modelling Spatially Correlated Aleatoric Uncertainty 10 Jun 2020 biomedia-mira/stochastic_segmentation_networks/ssn/models/base.py 168556b063807692 unverified MIT (permissive)
Learning to Control in Metric Space with Optimal Regret 5 May 2019 sjunhongshen/Deterministic-Control-in-Metric-Space/cartpole_images.py fd18c8c90c72a792 ran · our draft was wrong fingerprinted no licence file found · pointer only
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation 2018-05 (from id) tsurumeso/vocal-remover/lib/spec_utils.py 2c5f4f581b03c006 unverified MIT (permissive)
The Kinetics Human Action Video Dataset 19 May 2017 OanaIgnat/i3d_keras/src/preprocess.py e078cbd233af75ee ran · fixture could not drive it 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