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get_full_repo_name

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

get_full_repo_name appears in the code Syntology harvested for 18 papers, as 7 distinct code bodies found in 18 places (a place is one code body under one paper). At least one of them ran in 0 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_full_repo_name 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 0 of the 7 distinct code bodies named get_full_repo_name; 7 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
0ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 18 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

18 papers shown of 18, newest first; 18 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; 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
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models 16 Jul 2024 isno0907/isodiff/train_unconditional.py 6431708d8f3ff177 unverified no licence file found · pointer only
Improving Machine Translation with Human Feedback: An Exploration of Quality Estimation as a Reward Model 23 Jan 2024 zwhe99/FeedbackMT/src/LMFlow/experimental/RAFT-diffusion/train_text_to_image_lora.py c65c0b4a64bac1ff unverified no licence file found · pointer only
Cross Initialization for Personalized Text-to-Image Generation 26 Dec 2023 lyupang/crossinitialization/train_cross_init.py 6431708d8f3ff177 unverified MIT (permissive)
PhenDiff: Revealing Subtle Phenotypes with Diffusion Models in Real Images 13 Dec 2023 warmongeringbeaver/phendiff/src/utils_misc.py 2547e9e6b5cbe33c unverified no licence file found · pointer only
Intriguing Properties of Data Attribution on Diffusion Models 1 Nov 2023 sail-sg/D-TRAK/CIFAR10/eval_unconditional.py 6431708d8f3ff177 unverified MIT (permissive)
IMPRESS: Evaluating the Resilience of Imperceptible Perturbations Against Unauthorized Data Usage in Diffusion-Based Generative AI 30 Oct 2023 AAAAAAsuka/Impress/train_text_to_image.py 6431708d8f3ff177 unverified no licence file found · pointer only
Exact Diffusion Inversion via Bi-directional Integration Approximation 10 Jul 2023 guoqiang-zhang-x/BDIA/image-editing/my_diffusers/hub_utils.py d7a3942d0d5c6041 unverified no licence file found · pointer only
Controlling Text-to-Image Diffusion by Orthogonal Finetuning 12 Jun 2023 zeju1997/oft/oft-db/train_dreambooth_flax.py 6431708d8f3ff177 unverified MIT (permissive)
Training on Thin Air: Improve Image Classification with Generated Data 24 May 2023 yongchao97/diffusion_inversion/src/diffuser_inversion.py d7a3942d0d5c6041 unverified MIT (permissive)
Discffusion: Discriminative Diffusion Models as Few-shot Vision and Language Learners 18 May 2023 eric-ai-lab/dsd/dsd_train.py 6431708d8f3ff177 unverified MIT (permissive)
Text-to-Image Diffusion Models can be Easily Backdoored through Multimodal Data Poisoning 7 May 2023 sf-zhai/badt2i/badt2i_object.py 8dacafd52cd06522 unverified Apache-2.0 (permissive)
Improving Diffusion Models for Scene Text Editing with Dual Encoders 12 Apr 2023 ucsb-nlp-chang/diffste/diffusers/hub_utils.py 29385ad1fe81ea51 unverified MIT (permissive)
Human Preference Score: Better Aligning Text-to-Image Models with Human Preference 25 Mar 2023 tgxs002/align_sd/train_text_to_image_lora.py 6431708d8f3ff177 unverified Apache-2.0 (permissive)
P+: Extended Textual Conditioning in Text-to-Image Generation 16 Mar 2023 mkshing/prompt-plus-pytorch/train_p_plus.py 6431708d8f3ff177 unverified MIT (permissive)
Effective Data Augmentation With Diffusion Models 7 Feb 2023 brandontrabucco/da-fusion/fine_tune.py d7a3942d0d5c6041 unverified MIT (permissive)
Shifted Diffusion for Text-to-image Generation 24 Nov 2022 drboog/Shifted_Diffusion/finetune.py 6431708d8f3ff177 unverified CC0-1.0 (permissive)
UniTune: Text-Driven Image Editing by Fine Tuning a Diffusion Model on a Single Image 17 Oct 2022 xuduo35/UniTune/train_unitune_colab.py d7a3942d0d5c6041 unverified MIT (permissive)
arXiv:Kim_WOUAF_Weight_Modulation_for_User_Attribution_and_Fingerprinting_in_Text-to-Image_CVPR_2024_paper kylemin/WOUAF/trainval_WOUAF.py 6302e9a740adde6d unverified Apache-2.0 (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