Home › Code › prune_conv1d_layer

prune_conv1d_layer

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

prune_conv1d_layer appears in the code Syntology harvested for 20 papers, as 8 distinct code bodies found in 21 places (a place is one code body under one paper). At least one of them ran in 8 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 prune_conv1d_layer 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 8 distinct code bodies named prune_conv1d_layer; 4 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

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

Licence is a property of each copy, so it is counted per place: 4 of the 21 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

20 papers shown of 20, newest first; 21 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; 2 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
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck added by Syntology 2026-02 (from id) ivanniu/IBCircuit/models/gpt2_IB.py d56a45fde31642dd ran · our draft was wrong no licence file found · pointer only
Bottleneck-Minimal Indexing for Generative Document Retrieval 12 May 2024 kduxin/Bottleneck-Minimal-Indexing/NCIRetriever/nci_transformers/modeling_utils.py 2ecf9d52d1413149 ran MIT (permissive)
Rotated Multi-Scale Interaction Network for Referring Remote Sensing Image Segmentation 19 Dec 2023 lsan2401/rmsin/bert/modeling_utils.py b3ee64494a3b6d38 ran no licence file found · pointer only
Mask Grounding for Referring Image Segmentation 19 Dec 2023 yxchng/mask-grounding/bert/modeling_utils.py b3ee64494a3b6d38 ran AGPL-3.0 (copyleft) · pointer only
Contrastive Grouping with Transformer for Referring Image Segmentation 2 Sep 2023 toneyaya/cgformer/bert/modeling_utils.py b3ee64494a3b6d38 ran MIT (permissive)
Beyond One-to-One: Rethinking the Referring Image Segmentation 26 Aug 2023 toggle1995/RIS-DMMI/bert/modeling_utils.py b3ee64494a3b6d38 ran no licence file found · pointer only
HOP: History-and-Order Aware Pre-training for Vision-and-Language Navigation 22 Mar 2022 yanyuanqiao/hop-vln/tasks/pretrain/modeling_utils.py 7183a17dd79327a8 unverified MIT (permissive)
Towards Long-Form Video Understanding 21 Jun 2021 chaoyuaw/lvu/src/models/modeling_utils.py 8cc492d40c50497b unverified MIT (permissive)
CharBERT: Character-aware Pre-trained Language Model 3 Nov 2020 wtma/CharBERT/modeling/modeling_utils.py 7183a17dd79327a8 unverified Apache-2.0 (permissive)
The elephant in the interpretability room: Why use attention as explanation when we have saliency methods? 12 Oct 2020 jessevig/bertviz/bertviz/transformers_neuron_view/modeling_utils.py 7183a17dd79327a8 unverified Apache-2.0 (permissive)
Pretrained Generalized Autoregressive Model with Adaptive Probabilistic Label Clusters for Extreme Multi-label Text Classification 5 Jul 2020 huiyegit/APLC_XLNet/code/pytorch_transformers/modeling_utils.py 7183a17dd79327a8 unverified MIT (permissive)
CoCon: A Self-Supervised Approach for Controlled Text Generation 5 Jun 2020 alvinchangw/COCON_ICLR2021/transformers/modeling_gpt2.py c92db0c571d83ad4 ran · our draft was wrong Apache-2.0 (permissive)
POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training 1 May 2020 dreasysnail/POINTER/pytorch_transformers/modeling_utils.py 7183a17dd79327a8 unverified MIT (permissive)
VGCN-BERT: Augmenting BERT with Graph Embedding for Text Classification 12 Apr 2020 Louis-udm/VGCN-BERT/old_version/pytorch_pretrained_bert/modeling_gpt2.py 4ce41ad16628f684 unverified MIT (permissive)
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations 2 Nov 2019 SVAIGBA/TwASP/pytorch_pretrained_bert/modeling_gpt2.py f255dd42f46c11c1 unverified MIT (permissive)
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 26 Sep 2019 Soikonomou/bert_new/src/model/BERT/modeling_utils.py 7183a17dd79327a8 unverified Apache-2.0 (permissive)
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations 26 Sep 2019 Soikonomou/albert_final/src/model/ALBERT/modeling_utils.py 8cc492d40c50497b unverified Apache-2.0 (permissive)
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering 9 Sep 2019 DecstionBack/AAAI_2020_CommonsenseQA/pytorch_transformers/modeling_utils.py 7183a17dd79327a8 unverified Apache-2.0 (permissive)
XLNet: Generalized Autoregressive Pretraining for Language Understanding 19 Jun 2019 samwisegamjeee/pytorch-transformers/pytorch_transformers/modeling_utils.py 7183a17dd79327a8 unverified Apache-2.0 (permissive)
arXiv:2024.findings-naacl.32 SnowYJ/sem_syn_separation/optimus_separate_graph_sem_syntax_fuse_gpt2/pytorch_transformers/modeling_utils.py 7183a17dd79327a8 unverified MIT (permissive)
arXiv:2021.emnlp-main.154 Hazelsuko07/TextHide/transformers_hide/modeling_utils.py 2ecf9d52d1413149 ran 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