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TextEncoder

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

TextEncoder appears in the code Syntology harvested for 11 papers, as 11 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; 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 TextEncoder 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 6 of the 11 distinct code bodies named TextEncoder; 5 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
6ran
5unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 6 of the 11 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

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, and the graph's for 3 papers added by Syntology. 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
Text2Sign: A Single-GPU Diffusion Baseline for Text-to-Sign Language Video Generation added by Syntology 2026-07 (from id) xiaruize0911/text2sign/pipeline.py dbcdfec270ed0b9f ran no licence file found · pointer only
Beyond Visual Cues: CoT-Enhanced Reasoning for Semi-supervised Medical Image Segmentation added by Syntology 2026-06 (from id) cymasuna/CERS/model/CERS.py 7727e36e18f739df ran no licence file found · pointer only
TIPS Over Tricks: Simple Prompts for Effective Zero-shot Anomaly Detection added by Syntology 2026-02 (from id) AlirezaSalehy/Tipsomaly/model/tips/text_encoder.py b6acc0be918d258b unverified MIT (permissive)
SysCaps: Language Interfaces for Simulation Surrogates of Complex Systems 30 May 2024 NREL/SysCaps/syscaps/models/resnet.py 29f582558148bea9 unverified BSD-3-Clause (permissive)
Exploring Pre-trained Text-to-Video Diffusion Models for Referring Video Object Segmentation 18 Mar 2024 buxiangzhiren/VD-IT/models/diffvos_cross.py f0fa25effadd804b ran licence not identified · pointer only
SegVol: Universal and Interactive Volumetric Medical Image Segmentation 22 Nov 2023 baai-dcai/segvol/network/model.py 7f2202c6eb9e6be5 unverified MIT (permissive)
The Rise of AI Language Pathologists: Exploring Two-level Prompt Learning for Few-shot Weakly-supervised Whole Slide Image Classification 29 May 2023 miccaiif/top/models/learnable_prompt.py 83bdf180d2eec6e2 ran · metamorphic tier: deterministic no licence file found · pointer only
Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation 8 Jun 2022 dzh19990407/lbdt/models/LBDT_4.py ec95498d16b02e91 ran MIT (permissive)
GRAM: Fast Fine-tuning of Pre-trained Language Models for Content-based Collaborative Filtering 8 Apr 2022 yoonseok312/GRAM/gram/news_recommendation/model_bert.py 4c3ddcb374fd904d ran fingerprinted no licence file found · pointer only
Learning to Prompt for Vision-Language Models 2 Sep 2021 hhenryd/tap/trainers/TAP.py c1fabc9fbf753209 unverified MIT (permissive)
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech 2021-06 (from id) isletennos/mmvc_trainer/models.py 9d5ca7de433e20e7 unverified no licence file found · pointer only

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