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tokenize_prompt

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

tokenize_prompt appears in the code Syntology harvested for 23 papers, as 12 distinct code bodies found in 23 places (a place is one code body under one paper). At least one of them ran in 15 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 tokenize_prompt 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 7 of the 12 distinct code bodies named tokenize_prompt; 5 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
4ran
5unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 23 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

23 papers shown of 23, newest first; 23 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 3 papers added by Syntology; 4 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
Dotting the Eye: An Intent-Driven Image Retouching Agent for Visual Focus Enhancement added by Syntology 2026-09 (from id) DragonisCV/EyeControl/src/pipelines/text_encoder.py eb4f8a321d97a458 unverified no licence file found · pointer only
Total Variation Distance Estimation in Autoregressive Models added by Syntology 2026-07 (from id) XunZhiyang/llm-tv-estimation/experiments/fig1/cache_build.py 8765d8d06d025758 ran MIT (permissive)
Steer Away From Mode Collisions: Improving Composition In Diffusion Models added by Syntology 2025-09 (from id) debottam-dutta7/co3/composers/utils/ptp_utils.py d3d9b5fd6b42f66c ran · honoured contract no licence file found · pointer only
T-LoRA: Single Image Diffusion Model Customization Without Overfitting 8 Jul 2025 controlgenai/t-lora/flux/model/encode.py eb4f8a321d97a458 unverified MIT (permissive)
ACE: Anti-Editing Concept Erasure in Text-to-Image Models 3 Jan 2025 120l020904/ace/src/train_ace.py a67a2074238bd9ef ran · our draft was wrong no licence file found · pointer only
EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers 29 Dec 2024 tomguluson92/eraseanything/prompt_process.py 442d96197841458f unverified BSD-3-Clause (permissive)
CLEAR: Conv-Like Linearization Revs Pre-Trained Diffusion Transformers Up 20 Dec 2024 huage001/clear/cache_prompt_embeds.py eb4f8a321d97a458 unverified Apache-2.0 (permissive)
SplatFlow: Multi-View Rectified Flow Model for 3D Gaussian Splatting Synthesis 25 Nov 2024 gohyojun15/SplatFlow/model/multiview_rf/text_embedding.py 02aa413663394d0c unverified no licence file found · pointer only
TweedieMix: Improving Multi-Concept Fusion for Diffusion-based Image/Video Generation 8 Oct 2024 kwongihyun/tweediemix/fusion_generation/fusion_sampling.py d3d9b5fd6b42f66c ran · honoured contract no licence file found · pointer only
TextBoost: Towards One-Shot Personalization of Text-to-Image Models via Fine-tuning Text Encoder 12 Sep 2024 nahyeonkaty/textboost/src/textboost/datasets.py 424823a175dc433e ran MIT (permissive)
DataDream: Few-shot Guided Dataset Generation 15 Jul 2024 explainableml/datadream/DataDream/datadream.py a67a2074238bd9ef ran · our draft was wrong no licence file found · pointer only
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale 7 Jul 2024 pkunlp-icler/ultraedit/traning/train_sd3_pix2pix.py dce9df5004a68cce ran no licence file found · pointer only
PartCraft: Crafting Creative Objects by Parts 5 Jul 2024 kamwoh/partcraft/src/utils.py 1e3b3a8ae01caf34 ran no licence file found · pointer only
GLAD: Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection 11 Jun 2024 hyao1/glad/dataset/dataset_multiclass.py a67a2074238bd9ef ran · our draft was wrong MIT (permissive)
Consistent Diffusion Meets Tweedie: Training Exact Ambient Diffusion Models with Noisy Data 20 Mar 2024 giannisdaras/ambient-tweedie/train_text_to_image_lora_sdxl.py d3d9b5fd6b42f66c ran · honoured contract GPL-3.0 (copyleft) · pointer only
Distribution-Aware Data Expansion with Diffusion Models 11 Mar 2024 haoweiz23/distdiff/dataloader.py a67a2074238bd9ef ran · our draft was wrong no licence file found · pointer only
RotationDrag: Point-based Image Editing with Rotated Diffusion Features 12 Jan 2024 tony-lowe/rotationdrag/utils/lora_utils.py a67a2074238bd9ef ran · our draft was wrong Apache-2.0 (permissive)
Ambient Diffusion: Learning Clean Distributions from Corrupted Data 30 May 2023 identical code first harvested elsewhere d3d9b5fd6b42f66c ran · honoured contract licence of this copy not recorded
Muse: Text-To-Image Generation via Masked Generative Transformers 2 Jan 2023 huggingface/amused/training/train_amused.py e63f8661cb0af2c8 ran · honoured contract no licence file found · pointer only
arXiv:Wang_SleeperMark_Towards_Robust_Watermark_against_Fine-Tuning_Text-to-image_Diffusion_Models_CVPR_2025_paper taco-group/SleeperMark/Stage2/utils.py a67a2074238bd9ef ran · our draft was wrong Apache-2.0 (permissive)
arXiv:Huang_ArtEditor_Learning_Customized_Instructional_Image_Editor_from_Few-Shot_Examples_ICCV_2025_paper showlab/PhotoDoodle/src/prompt_helper.py eb4f8a321d97a458 unverified MIT (permissive)
arXiv:Dai_SeaS_Few-shot_Industrial_Anomaly_Image_Generation_with_Separation_and_Sharing_ICCV_2025_paper HUST-SLOW/SeaS/datasets/seas_dataset.py 6c20dda6f45b3804 unverified MIT (permissive)
arXiv:Chung_Fine-Tuning_Visual_Autogressive_Models_for_Subject-Driven_Generation_ICCV_2025_paper jiwoogit/ARBooth/booth_train_final.py 79a21725b79678b0 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".

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