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get_embedding

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

get_embedding appears in the code Syntology harvested for 28 papers, as 28 distinct code bodies found in 29 places (a place is one code body under one paper). At least one of them ran in 10 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_embedding 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 10 of the 28 distinct code bodies named get_embedding; 18 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

2ran · honoured contract
0ran · violated contract
2ran · our draft was wrong
2ran · fixture could not drive it
4ran
18unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 12 of the 29 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

28 papers shown of 28, newest first; 29 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; 3 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
Authorship Verification of Transcribed German-Language Videos added by Syntology 2026-07 (from id) Fraunhofer-SIT/WIFS2026-TranscribedGermanAV/methods/css/preprocessing.py fc041e0242201076 unverified Apache-2.0 (permissive)
MetaphorVU: Towards Metaphorical Video Understanding added by Syntology 2026-05 (from id) icip-cas/MetaphorVU/utlis/MetaphorVU_Boost.py a953593d6e10d4d9 unverified no licence file found · pointer only
OpenDecoder: Open Large Language Model Decoding to Incorporate Document Quality in RAG added by Syntology 2026-01 (from id) fengranMark/OpenDecoder/src/retrieval/construct_indicators.py 0bbe88e1e97834eb unverified MIT (permissive)
arXiv:2507.11316 2025-07 (from id) hr-jin/ConVA/src/cav_gen.py c111b3cef93778e5 unverified no licence file found · pointer only
Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations 24 Apr 2025 giovannicatalani/enf2enf/enf/models/equivariant_cross_attention_nef.py f054958d6b9aefa4 ran · our draft was wrong no licence file found · pointer only
GenSim: A General Social Simulation Platform with Large Language Model based Agents 6 Oct 2024 TangJiakai/GenSim/simulation/helpers/emb_service.py d7dffe7f9aa4c40a unverified no licence file found · pointer only
Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis 9 Jul 2024 ecnu-sea/SEA/evaluate_sea_a.py cb5ddd2370eef27b ran Apache-2.0 (permissive)
DialSim: A Real-Time Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational Agents 19 Jun 2024 jiho283/simulator/utils/utils.py 03a721601fdf3b93 ran no licence file found · pointer only
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability 27 May 2024 ML-GSAI/MesaOpt-AR-Transformer/main_train_ar.py c2221bf63eb3570b ran MIT (permissive)
Intruding with Words: Towards Understanding Graph Injection Attacks at the Text Level 26 May 2024 Leirunlin/Text-level-Graph-Attack/api.py ccb546755da4914b unverified no licence file found · pointer only
TreeEval: Benchmark-Free Evaluation of Large Language Models through Tree Planning 20 Feb 2024 ashura5/treeeval/common/utils.py 36bfd05b5e0981ba unverified no licence file found · pointer only
DNABERT-S: Pioneering Species Differentiation with Species-Aware DNA Embeddings 13 Feb 2024 magics-lab/dnabert_s/evaluate/utils.py 5d9845f2b2705963 unverified no licence file found · pointer only
Enhancing textual textbook question answering with large language models and retrieval augmented generation 5 Feb 2024 hessaalawwad/plr-tqa/RAG_Pinecone.py b7b00c2da88da999 unverified no licence file found · pointer only
Skill Set Optimization: Reinforcing Language Model Behavior via Transferable Skills 5 Feb 2024 allenai/sso/sso/llm/gpt.py ef917adf7c5a552d unverified Apache-2.0 (permissive)
Graph Language Models 13 Jan 2024 heidelberg-nlp/graphlanguagemodels/preprocessing/relation_prediction_dataset_to_torch_geometric.py ac0f301554dd37ee ran no licence file found · pointer only
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems 16 Nov 2023 stanford-futuredata/ares/ares/LLM_as_a_Judge_Adaptation/Filter_Synthetic_Queries.py 30599a80b9dc6909 unverified Apache-2.0 (permissive)
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? 28 Sep 2023 CurryTang/Graph-LLM/api.py ccb546755da4914b unverified MIT (permissive)
ODSum: New Benchmarks for Open Domain Multi-Document Summarization 16 Sep 2023 yale-nlp/odsum/code/retreival/retrieve.py 91f91ba2566b65d7 unverified MIT (permissive)
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning 26 May 2023 ilampard/lamp/models/ke_anhp/_model.py 3bab5ed3d30b876d ran · fixture could not drive it Apache-2.0 (permissive)
An Embarrassingly Simple Approach to Semi-Supervised Few-Shot Learning 28 Sep 2022 2023-MindSpore-1/ms-code-106/utils.py bb27a56b8fe00376 unverified Apache-2.0 (permissive)
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation 29 May 2022 yuhed/proxymix/train_target.py 056cea59afee7bae ran · fixture could not drive it no licence file found · pointer only
A Survey on Word Meta-Embedding Learning 25 Apr 2022 Bollegala/Meta-Embedding-Framework/wordreps.py 26ac33d472b8b3d2 unverified MIT (permissive)
Time Masking for Temporal Language Models 12 Oct 2021 guyrosin/tempobert/semantic_change_detection.py f5f8f6ed8c77fc76 ran · honoured contract MIT (permissive)
Time Masking for Temporal Language Models 12 Oct 2021 guyrosin/temporal_attention/semantic_change_detection.py ccd9731bc1c63e5c unverified MIT (permissive)
Learning from Indirect Observations 10 Oct 2019 YivanZhang/lio/ex/instance-embedding/core.py 8a0c160bc7ecabf1 ran · our draft was wrong MIT (permissive)
SoftTriple Loss: Deep Metric Learning Without Triplet Sampling 11 Sep 2019 QuocThangNguyen/deep-metric-learning-tsinghua-dogs/src/infer.py 5480fa55602d0208 ran · honoured contract no licence file found · pointer only
Did the Model Understand the Question? 14 May 2018 pramodkaushik/np_analysis/neural_programmer/nn_utils.py 6955954c1e19d195 unverified Apache-2.0 (permissive)
arXiv:2025.findings-acl.380 Mubuky/Self-Foveate/self_foveate/core/api.py ff1b4ff081ad2d13 unverified MIT (permissive)
arXiv:2022.findings-emnlp.513 rsingha108/TransLIST/V0/models.py d15d6ea64a0b36fd 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