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BertOutput

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

BertOutput appears in the code Syntology harvested for 13 papers, as 17 distinct code bodies found in 17 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 BertOutput 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 17 distinct code bodies named BertOutput; 7 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
10ran
7unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 8 of the 17 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

13 papers shown of 13, newest first; 17 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 2 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
Imagine How To Change: Explicit Procedure Modeling for Change Captioning added by Syntology 2026-03 (from id) BlueberryOreo/ProCap/src/rtransformer/model.py 5d7bf02e4a7c75a1 ran MIT (permissive)
Odin: Oriented Dual-module Integration for Text-rich Network Representation Learning added by Syntology 2025-11 (from id) hongkaifeng/Odin/src/OpenLP/models/Graphformer ME.py 1ca500dc6d3e0485 ran no licence file found · pointer only
Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation 24 Aug 2023 csir1996/vln-gela/ada_pretrain_src/model/pretrain_cmt.py 6b2df70e78c4e5e8 ran no licence file found · pointer only
Patton: Language Model Pretraining on Text-Rich Networks 20 May 2023 PeterGriffinJin/Patton/src/OpenLP/models/Graphformer.py ea98a87e1b400ad7 ran Apache-2.0 (permissive)
Selective Query-guided Debiasing for Video Corpus Moment Retrieval 17 Oct 2022 dbstjswo505/SQuiDNet/model/squidnet.py e1d8bf9abfe29c23 unverified MIT (permissive)
History Aware Multimodal Transformer for Vision-and-Language Navigation 25 Oct 2021 cshizhe/vln-hamt/finetune_src/models/vilmodel_cmt.py 6c574c57986a3d21 ran MIT (permissive)
UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning 26 Jun 2021 hwanheelee1993/UMIC/model/ce.py 97991514f03a073e ran · metamorphic tier: deterministic MIT (permissive)
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization 31 May 2021 GT-SALT/HiddenCut/transformers/modeling_bert.py b0bba126f9be2ee6 unverified no licence file found · pointer only
Causal Attention for Vision-Language Tasks 5 Mar 2021 yangxuntu/lxmertcatt/src/lxrt/modeling.py 61f383a856ac089e ran · metamorphic tier: deterministic MIT (permissive)
Coarse-to-Fine Pre-training for Named Entity Recognition 16 Oct 2020 strawberryx/CoFEE/model/bert_mrc_ner_cluster.py e2496b3448dddc7b unverified no licence file found · pointer only
VD-BERT: A Unified Vision and Dialog Transformer with BERT 28 Apr 2020 salesforce/VD-BERT/pytorch_pretrained_bert/modeling.py 4a7f9dbc40aaed5d unverified MIT (permissive)
RoBERTa: A Robustly Optimized BERT Pretraining Approach 26 Jul 2019 GeorgeLuImmortal/Hierarchical-BERT-Model-with-Limited-Labelled-Data/run_hbm.py 5e5629cb8e93e004 ran no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 cybertronai/megatron-lm/model/modeling.py 8a5a74db0d87b031 ran licence not identified · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 maknotavailable/pytorch-pretrained-bert/pytorch_pretrained_bert/modeling.py 85b548d92c70c22b ran · metamorphic tier: invariant Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 cedrickchee/pytorch-pretrained-BERT/pytorch_pretrained_bert/modeling.py aea48c66c585eea7 unverified Apache-2.0 (permissive)
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 derronxu/sparsebert/SparseBERT/main_functions/transformer/modeling.py a0407d4bf4593206 unverified no licence file found · pointer only
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 11 Oct 2018 lonePatient/ERNIE-text-classification-pytorch/pyernie/model/ernie/modeling.py fb6862928ef36d03 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