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cl_forward

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

cl_forward appears in the code Syntology harvested for 23 papers, as 26 distinct code bodies found in 37 places (a place is one code body under one paper). At least one of them ran in 9 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 cl_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 4 of the 26 distinct code bodies named cl_forward; 22 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
3ran · our draft was wrong
0ran · fixture could not drive it
1ran
22unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 7 of the 37 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; 37 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; 7 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 4e0ff9c4d9a318ff ran · our draft was wrong MIT (permissive)
arXiv:2507.21892 2025-07 (from id) LHRLAB/Graph-R1/evaluation/simcse/models.py 4e0ff9c4d9a318ff 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 44fb54ab155aa892 unverified no licence file found · pointer only
Improving In-context Learning of Multilingual Generative Language Models with Cross-lingual Alignment 14 Nov 2023 chongli17/crosslingualalignment/src/decoder_models.py add1c9f6ecb908c4 unverified MIT (permissive)
Contrastive Learning of Sentence Embeddings from Scratch 24 May 2023 sjtu-lit/syncse/simcse/models.py 4e0ff9c4d9a318ff ran · our draft was wrong MIT (permissive)
Contrastive Learning of Sentence Embeddings from Scratch 24 May 2023 sjtu-lit/syncse/simcse/model_mp.py 395a2d0164d051ea unverified MIT (permissive)
Contrastive Learning of Sentence Embeddings from Scratch 24 May 2023 sjtu-lit/syncse/simcse/models_HSCL.py 54ed7cc4d58f4f97 unverified MIT (permissive)
Contrastive Learning of Sentence Embeddings from Scratch 24 May 2023 sjtu-lit/syncse/simcse/models_aug.py 1e563fb02ef1365c unverified MIT (permissive)
Contrastive Learning of Sentence Embeddings from Scratch 24 May 2023 sjtu-lit/syncse/simcse/models_hard.py c34d7c6db1fe73eb unverified MIT (permissive)
Dual-Alignment Pre-training for Cross-lingual Sentence Embedding 16 May 2023 ChillingDream/DAP/core/models.py 6902d67afe6ef0d7 unverified MIT (permissive)
Alleviating Over-smoothing for Unsupervised Sentence Representation 9 May 2023 nuochenpku/SSCL/sscl/models.py 6240552f92bf148f unverified Apache-2.0 (permissive)
Alleviating Over-smoothing for Unsupervised Sentence Representation 9 May 2023 nuochenpku/SSCL/sscl/.ipynb_checkpoints/models-checkpoint.py eba672043960b264 unverified Apache-2.0 (permissive)
English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings 11 Nov 2022 yaushian/msimcse/simcse/models.py 4e0ff9c4d9a318ff ran · our draft was wrong MIT (permissive)
Differentiable Data Augmentation for Contrastive Sentence Representation Learning 29 Oct 2022 TianduoWang/DiffAug/diffaug/models.py 13c89aeee1080f74 unverified MIT (permissive)
MABEL: Attenuating Gender Bias using Textual Entailment Data 26 Oct 2022 princeton-nlp/mabel/training/model.py fdeb95ccbf6c5d7d unverified MIT (permissive)
Sentence Representation Learning with Generative Objective rather than Contrastive Objective 16 Oct 2022 chengzhipanpan/PaSeR/paser/models.py 687f296efeb00dfd unverified MIT (permissive)
Non-Linguistic Supervision for Contrastive Learning of Sentence Embeddings 20 Sep 2022 yiren-jian/NonLing-CSE/AudioCSE/src/models.py 4e0ff9c4d9a318ff 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 6bac730ebfd6b7eb unverified MIT (permissive)
DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings 21 Apr 2022 voidism/diffcse/diffcse/models.py c4cccc3c604c8c75 unverified MIT (permissive)
PromptBERT: Improving BERT Sentence Embeddings with Prompts 12 Jan 2022 kongds/prompt-bert/prompt_bert/models.py b0fc90ab5c43704e unverified no licence file found · pointer only
SimCSE: Simple Contrastive Learning of Sentence Embeddings 18 Apr 2021 bhuvanakundumani/SimCSE_unsupervised/model.py 565954449b2193d5 ran · our draft was wrong no licence file found · pointer only
SimCSE: Simple Contrastive Learning of Sentence Embeddings 18 Apr 2021 dll-wu/is-cse/simcse/models.py 77b8fc1348dbafc4 unverified no licence file found · pointer only
SimCSE: Simple Contrastive Learning of Sentence Embeddings 18 Apr 2021 nlpods/layerattpooler/cl/models.py 279795ea7a63bfcd unverified no licence file found · pointer only
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 27 Aug 2019 puerrrr/focal-infonce/focalNCE/models.py 7129023fed66db75 ran · our draft was wrong MIT (permissive)
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 27 Aug 2019 jcyk/mse-amr/simcse/models.py 07787be6ded0e351 ran MIT (permissive)
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 27 Aug 2019 yjiangcm/dcpcse/promcse/models.py 11633811e04f78a3 unverified no licence file found · pointer only
Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks 27 Aug 2019 nuochenpku/sscl/sscl/models.py 6240552f92bf148f unverified Apache-2.0 (permissive)
arXiv:aaai_34816 perceptiveshawty/RankCSE/rankcse/models.py 0e129ededddc7f7c unverified MIT (permissive)
arXiv:2025.findings-acl.307 hyp1231/AmazonReviews2023/blair/simcse/models.py 4e0ff9c4d9a318ff ran · our draft was wrong MIT (permissive)
arXiv:2024.naacl-long.436 Circle-Ming/MultiCSR/simcse/models.py 45dc22e0c289ea88 unverified MIT (permissive)
arXiv:2024.findings-naacl.227 raghavlite/SumCSE/simcse/models.py 4e0ff9c4d9a318ff ran · our draft was wrong MIT (permissive)
arXiv:2024.findings-naacl.227 raghavlite/SumCSE/simcse/model_mp.py 395a2d0164d051ea unverified MIT (permissive)
arXiv:2024.findings-naacl.227 raghavlite/SumCSE/simcse/models_HSCL.py 54ed7cc4d58f4f97 unverified MIT (permissive)
arXiv:2024.findings-naacl.227 raghavlite/SumCSE/simcse/models_aug.py 1e563fb02ef1365c unverified MIT (permissive)
arXiv:2024.findings-naacl.227 raghavlite/SumCSE/simcse/models_hard.py c34d7c6db1fe73eb unverified MIT (permissive)
arXiv:2024.findings-eacl.38 myngsooo/BYOP/src/models.py 3259bf76278eb180 unverified MIT (permissive)
arXiv:2023.findings-emnlp.731 youngwook06/ConPrompt/simcse/models_conprompt.py 705e056a15ab9e5c 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".

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