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sentemb_forward

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

sentemb_forward appears in the code Syntology harvested for 21 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 18 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 sentemb_forward 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 8 of the 12 distinct code bodies named sentemb_forward; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

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

21 papers shown of 21, 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 1 papers added by Syntology; 8 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
Parametric Knowledge is Not All You Need: Toward Honest Large Language Models via Retrieval of Pretraining Data added by Syntology 2026-01 (from id) princeton-nlp/SimCSE/simcse/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
arXiv:2507.21892 2025-07 (from id) LHRLAB/Graph-R1/evaluation/simcse/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data 20 Dec 2023 Yiwei98/TDG/code/RM/models_ft5.py 356accd290e81dd6 ran no licence file found · pointer only
Contrastive Learning of Sentence Embeddings from Scratch 24 May 2023 sjtu-lit/syncse/simcse/model_mp.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding 16 May 2023 ChillingDream/DAP/core/models.py 9c4a22aa68aaf689 ran MIT (permissive)
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings 11 Nov 2022 yaushian/msimcse/simcse/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
MABEL: Attenuating Gender Bias using Textual Entailment Data 26 Oct 2022 princeton-nlp/mabel/training/model.py 75a1719cfec3517e ran · our draft was wrong MIT (permissive)
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings 20 Sep 2022 yiren-jian/NonLing-CSE/AudioCSE/src/models.py cb67cd5ac977480d ran · our draft was wrong no licence file found · pointer only
EASE: Entity-Aware Contrastive Learning of Sentence Embedding 9 May 2022 studio-ousia/ease/ease/ease_models.py 6b8fd1fd289eb729 ran MIT (permissive)
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings 21 Apr 2022 voidism/diffcse/diffcse/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
PromptBERT: Improving BERT Sentence Embeddings with Prompts 12 Jan 2022 kongds/prompt-bert/prompt_bert/models.py 764fb60dee41773f unverified no licence file found · pointer only
What Makes Sentences Semantically Related: A Textual Relatedness Dataset and Empirical Study 10 Oct 2021 binwang28/rse/rse_src/model_utils.py b6468f5023fb91cb unverified MIT (permissive)
SimCSE: Simple Contrastive Learning of Sentence Embeddings 18 Apr 2021 bhuvanakundumani/SimCSE_unsupervised/model.py 2f2997d4395b9e2d ran · our draft was wrong no licence file found · pointer only
SimCSE: Simple Contrastive Learning of Sentence Embeddings 18 Apr 2021 nlpods/layerattpooler/cl/models.py 74c64a7d40a58644 ran · our draft was wrong no licence file found · pointer only
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 27 Aug 2019 jcyk/mse-amr/simcse/models.py 32d955e246903e89 ran MIT (permissive)
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 27 Aug 2019 yjiangcm/dcpcse/promcse/models.py 20ddfaeb2cd9188c unverified no licence file found · pointer only
arXiv:aaai_34816 perceptiveshawty/RankCSE/rankcse/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
arXiv:2025.findings-acl.307 hyp1231/AmazonReviews2023/blair/simcse/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
arXiv:2024.naacl-long.436 Circle-Ming/MultiCSR/simcse/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
arXiv:2024.findings-naacl.227 raghavlite/SumCSE/simcse/model_mp.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
arXiv:2024.findings-eacl.38 myngsooo/BYOP/src/models.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
arXiv:2023.findings-emnlp.731 youngwook06/ConPrompt/simcse/models_conprompt.py cb67cd5ac977480d ran · our draft was wrong MIT (permissive)
arXiv:2023.acl-long.670 xymou/UPPAM/uppam/models/seq_skill.py 077005ff0d2b8199 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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